[ { "key": "R43QMJJQ", "version": 597, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/R43QMJJQ", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/R43QMJJQ", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Bauer et al.", "parsedDate": "2015", "numChildren": 1 }, "data": { "key": "R43QMJJQ", "version": 597, "itemType": "journalArticle", "title": "BioMiner: Paving the Way for Personalized Medicine", "creators": [ { "creatorType": "author", "firstName": "Chris", "lastName": "Bauer" }, { "creatorType": "author", "firstName": "Karol", "lastName": "Stec" }, { "creatorType": "author", "firstName": "Alexander", "lastName": "Glintschert" }, { "creatorType": "author", "firstName": "Kristina", "lastName": "Gruden" }, { "creatorType": "author", "firstName": "Christian", "lastName": "Schichor" }, { "creatorType": "author", "firstName": "Michal", "lastName": "Or-Guil" }, { "creatorType": "author", "firstName": "Joachim", "lastName": "Selbig" }, { "creatorType": "author", "firstName": "Johannes", "lastName": "Schuchhardt" } ], "abstractNote": "Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool \"BioMiner,\" which was developed within the scope of an international and interdisciplinary project (SYSTHER) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/, login and password: \"systher\"; a tutorial detailing the usage of BioMiner can be found in the Supplementary File.", "publicationTitle": "Cancer Informatics", "publisher": "", "place": "", "date": "2015", "volume": "14", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "55-63", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Cancer Inform", "DOI": "10.4137/CIN.S20910", "citationKey": "", "url": "", "accessDate": "", "PMID": "26005322", "PMCID": "PMC4406277", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "BioMiner", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "biomarker detection", "type": 1 }, { "tag": "cancer", "type": 1 }, { "tag": "data mining", "type": 1 }, { "tag": "multiomics data integration", "type": 1 }, { "tag": "pathway visualization", "type": 1 }, { "tag": "personalized medicine", "type": 1 } ], "collections": [], "relations": {}, "dateAdded": "2017-06-20T08:34:29Z", "dateModified": "2017-06-20T08:34:29Z" } }, { "key": "X8DPI7EB", "version": 590, "library": { "type": "group", "id": 238216, "name": "WP4 - 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2017 - Combining randomized and non-randomized evidence i.pdf", "md5": "7d82264e180f963186e78d59be17c8df", "mtime": 1493194345305, "tags": [], "relations": {}, "dateAdded": "2017-04-26T08:12:22Z", "dateModified": "2017-04-26T08:12:25Z" } }, { "key": "3FXRQGHA", "version": 588, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/3FXRQGHA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/3FXRQGHA", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/JDBMRC72", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } } }, "data": { "key": "3FXRQGHA", "version": 588, "parentItem": "JDBMRC72", "itemType": "attachment", "linkMode": "imported_url", "title": "Snapshot", "accessDate": "2017-04-26T08:12:24Z", "url": "http://onlinelibrary.wiley.com/doi/10.1002/sim.7223/abstract", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "abstract.html", "md5": "d7598ff7737bd7547736e97a9e4a0cc3", "mtime": 1493194344671, "tags": [], "relations": {}, "dateAdded": "2017-04-26T08:12:24Z", "dateModified": "2017-04-26T08:12:24Z" } }, { "key": "JDBMRC72", "version": 587, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/JDBMRC72", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/JDBMRC72", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "creatorSummary": "Efthimiou et al.", "parsedDate": "2017-04-15", "numChildren": 2 }, "data": { "key": "JDBMRC72", "version": 587, "itemType": "journalArticle", "title": "Combining randomized and non-randomized evidence in network meta-analysis", "creators": [ { "creatorType": "author", "firstName": "Orestis", "lastName": "Efthimiou" }, { "creatorType": "author", "firstName": "Dimitris", "lastName": "Mavridis" }, { "creatorType": "author", "firstName": "Thomas P. A.", "lastName": "Debray" }, { "creatorType": "author", "firstName": "Myrto", "lastName": "Samara" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Belger" }, { "creatorType": "author", "firstName": "George C. M.", "lastName": "Siontis" }, { "creatorType": "author", "firstName": "Stefan", "lastName": "Leucht" }, { "creatorType": "author", "firstName": "Georgia", "lastName": "Salanti" }, { "creatorType": "author", "name": "on behalf of GetReal Work Package 4" } ], "abstractNote": "Non-randomized studies aim to reveal whether or not interventions are effective in real-life clinical practice, and there is a growing interest in including such evidence in the decision-making process. We evaluate existing methodologies and present new approaches to using non-randomized evidence in a network meta-analysis of randomized controlled trials (RCTs) when the aim is to assess relative treatment effects. We first discuss how to assess compatibility between the two types of evidence. We then present and compare an array of alternative methods that allow the inclusion of non-randomized studies in a network meta-analysis of RCTs: the naïve data synthesis, the design-adjusted synthesis, the use of non-randomized evidence as prior information and the use of three-level hierarchical models. We apply some of the methods in two previously published clinical examples comparing percutaneous interventions for the treatment of coronary in-stent restenosis and antipsychotics in patients with schizophrenia. We discuss in depth the advantages and limitations of each method, and we conclude that the inclusion of real-world evidence from non-randomized studies has the potential to corroborate findings from RCTs, increase precision and enhance the decision-making process. Copyright © 2017 John Wiley & Sons, Ltd.", "publicationTitle": "Statistics in Medicine", "publisher": "", "place": "", "date": "April 15, 2017", "volume": "36", "issue": "8", "section": "", "partNumber": "", "partTitle": "", "pages": "1210-1226", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Statist. Med.", "DOI": "10.1002/sim.7223", "citationKey": "", "url": "http://onlinelibrary.wiley.com/doi/10.1002/sim.7223/abstract", "accessDate": "2017-04-26T08:12:22Z", "PMID": "", "PMCID": "", "ISSN": "1097-0258", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "cohort studies", "type": 1 }, { "tag": "mixed treatment comparison", "type": 1 }, { "tag": "multiple treatments meta-analysis", "type": 1 }, { "tag": "observational data", "type": 1 }, { "tag": "observational evidence", "type": 1 }, { "tag": "observational studies", "type": 1 } ], "collections": [ "X9EAM88T" ], "relations": {}, "dateAdded": "2017-04-26T08:12:22Z", "dateModified": "2017-04-26T08:12:22Z" } }, { "key": "7FZFNPTE", "version": 597, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/7FZFNPTE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/7FZFNPTE", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Petropoulou et al.", "parsedDate": "2016-11-15", "numChildren": 1 }, "data": { "key": "7FZFNPTE", "version": 597, "itemType": "journalArticle", "title": "Bibliographic study showed improving statistical methodology of network meta-analyses published between 1999 and 2015", "creators": [ { "creatorType": "author", "firstName": "Maria", "lastName": "Petropoulou" }, { "creatorType": "author", "firstName": "Adriani", "lastName": "Nikolakopoulou" }, { "creatorType": "author", "firstName": "Areti-Angeliki", "lastName": "Veroniki" }, { "creatorType": "author", "firstName": "Patricia", "lastName": "Rios" }, { "creatorType": "author", "firstName": "Afshin", "lastName": "Vafaei" }, { "creatorType": "author", "firstName": "Wasifa", "lastName": "Zarin" }, { "creatorType": "author", "firstName": "Myrsini", "lastName": "Giannatsi" }, { "creatorType": "author", "firstName": "Shannon", "lastName": "Sullivan" }, { "creatorType": "author", "firstName": "Andrea C.", "lastName": "Tricco" }, { "creatorType": "author", "firstName": "Anna", "lastName": "Chaimani" }, { "creatorType": "author", "firstName": "Matthias", "lastName": "Egger" }, { "creatorType": "author", "firstName": "Georgia", "lastName": "Salanti" } ], "abstractNote": "OBJECTIVES: To assess the characteristics and core statistical methodology specific to network meta-analyses (NMAs) in clinical research articles.\nSTUDY DESIGN AND SETTING: We searched MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews from inception until April 14, 2015, for NMAs of randomized controlled trials including at least four different interventions. Two reviewers independently screened potential studies, whereas data abstraction was performed by a single reviewer and verified by a second.\nRESULTS: A total of 456 NMAs, which included a median (interquartile range) of 21 (13-40) studies and 7 (5-9) treatment nodes, were assessed. A total of 125 NMAs (27%) were star networks; this proportion declined from 100% in 2005 to 19% in 2015 (P = 0.01 by test of trend). An increasing number of NMAs discussed transitivity or inconsistency (0% in 2005, 86% in 2015, P < 0.01) and 150 (45%) used appropriate methods to test for inconsistency (14% in 2006, 74% in 2015, P < 0.01). Heterogeneity was explored in 256 NMAs (56%), with no change over time (P = 0.10). All pairwise effects were reported in 234 NMAs (51%), with some increase over time (P = 0.02). The hierarchy of treatments was presented in 195 NMAs (43%), the probability of being best was most commonly reported (137 NMAs, 70%), but use of surface under the cumulative ranking curves increased steeply (0% in 2005, 33% in 2015, P < 0.01).\nCONCLUSION: Many NMAs published in the medical literature have significant limitations in both the conduct and reporting of the statistical analysis and numerical results. The situation has, however, improved in recent years, in particular with respect to the evaluation of the underlying assumptions, but considerable room for further improvements remains.", "publicationTitle": "Journal of Clinical Epidemiology", "publisher": "", "place": "", "date": "Nov 15, 2016", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Clin Epidemiol", "DOI": "10.1016/j.jclinepi.2016.11.002", "citationKey": "", "url": "", "accessDate": "", "PMID": "27864068", "PMCID": "", "ISSN": "1878-5921", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Meta-epidemiology", "type": 1 }, { "tag": "Mixed-treatment comparisons", "type": 1 }, { "tag": "Multiple interventions", "type": 1 }, { "tag": "Reporting", "type": 1 }, { "tag": "inconsistency", "type": 1 }, { "tag": "indirect evidence", "type": 1 } ], "collections": [ "7PD5979K" ], "relations": {}, "dateAdded": "2017-02-06T16:11:58Z", "dateModified": "2017-02-06T16:11:58Z" } }, { "key": "3XWT8UXG", "version": 583, "library": { "type": "group", "id": 238216, "name": "WP4 - 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2016 - Quantifying indirect evidence in network meta-anal.pdf", "md5": "89ddae0517d00d44b54ae301ddd8d4d7", "mtime": 1485961771697, "tags": [], "relations": {}, "dateAdded": "2017-02-01T15:09:30Z", "dateModified": "2017-02-01T15:09:32Z" } }, { "key": "D3ZSG6U9", "version": 581, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/D3ZSG6U9", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/D3ZSG6U9", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Noma et al.", "parsedDate": "2016-01-01", "numChildren": 2 }, "data": { "key": "D3ZSG6U9", "version": 581, "itemType": "journalArticle", "title": "Quantifying indirect evidence in network meta-analysis", "creators": [ { "creatorType": "author", "firstName": "Hisashi", "lastName": "Noma" }, { "creatorType": "author", "firstName": "Shiro", "lastName": "Tanaka" }, { "creatorType": "author", "firstName": "Shigeyuki", "lastName": "Matsui" }, { "creatorType": "author", "firstName": "Andrea", "lastName": "Cipriani" }, { "creatorType": "author", "firstName": "Toshi A.", "lastName": "Furukawa" } ], "abstractNote": "Network meta-analysis enables comprehensive synthesis of evidence concerning multiple treatments and their simultaneous comparisons based on both direct and indirect evidence. A fundamental pre-requisite of network meta-analysis is the consistency of evidence that is obtained from different sources, particularly whether direct and indirect evidence are in accordance with each other or not, and how they may influence the overall estimates. We have developed an efficient method to quantify indirect evidence, as well as a testing procedure to evaluate their inconsistency using Lindsay's composite likelihood method. We also show that this estimator has complete information for the indirect evidence. Using this method, we can assess the degree of consistency between direct and indirect evidence and their contribution rates to the overall estimate. Sensitivity analyses can be also conducted with this method to assess the influences of potentially inconsistent treatment contrasts on the overall results. These methods can provide useful information for overall comparative results that might be biased from specific inconsistent treatment contrasts. We also provide some fundamental requirements for valid inference on these methods concerning consistency restrictions on multi-arm trials. In addition, the efficiency of the developed method is demonstrated based on simulation studies. Applications to a network meta-analysis of 12 new-generation antidepressants are presented. Copyright © 2016 John Wiley & Sons, Ltd.", "publicationTitle": "Statistics in Medicine", "publisher": "", "place": "", "date": "January 1, 2016", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "n/a-n/a", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Statist. Med.", "DOI": "10.1002/sim.7187", "citationKey": "", "url": "http://onlinelibrary.wiley.com/doi/10.1002/sim.7187/abstract", "accessDate": "2017-02-01T15:09:30Z", "PMID": "", "PMCID": "", "ISSN": "1097-0258", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "composite likelihood methods", "type": 1 }, { "tag": "inconsistency", "type": 1 }, { "tag": "indirect evidence", "type": 1 }, { "tag": "likelihood factorization", "type": 1 }, { "tag": "network meta-analysis", "type": 1 }, { "tag": "sensitivity analysis", "type": 1 } ], "collections": [ "J2X9B49S" ], "relations": {}, "dateAdded": "2017-02-01T15:09:30Z", "dateModified": "2017-02-01T15:09:30Z" } }, { "key": "F84DC42F", "version": 597, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/F84DC42F", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/F84DC42F", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Noma et al.", "parsedDate": "2016-12-04", "numChildren": 1 }, "data": { "key": "F84DC42F", "version": 597, "itemType": "journalArticle", "title": "Quantifying indirect evidence in network meta-analysis", "creators": [ { "creatorType": "author", "firstName": "Hisashi", "lastName": "Noma" }, { "creatorType": "author", "firstName": "Shiro", "lastName": "Tanaka" }, { "creatorType": "author", "firstName": "Shigeyuki", "lastName": "Matsui" }, { "creatorType": "author", "firstName": "Andrea", "lastName": "Cipriani" }, { "creatorType": "author", "firstName": "Toshi A.", "lastName": "Furukawa" } ], "abstractNote": "Network meta-analysis enables comprehensive synthesis of evidence concerning multiple treatments and their simultaneous comparisons based on both direct and indirect evidence. A fundamental pre-requisite of network meta-analysis is the consistency of evidence that is obtained from different sources, particularly whether direct and indirect evidence are in accordance with each other or not, and how they may influence the overall estimates. We have developed an efficient method to quantify indirect evidence, as well as a testing procedure to evaluate their inconsistency using Lindsay's composite likelihood method. We also show that this estimator has complete information for the indirect evidence. Using this method, we can assess the degree of consistency between direct and indirect evidence and their contribution rates to the overall estimate. Sensitivity analyses can be also conducted with this method to assess the influences of potentially inconsistent treatment contrasts on the overall results. These methods can provide useful information for overall comparative results that might be biased from specific inconsistent treatment contrasts. We also provide some fundamental requirements for valid inference on these methods concerning consistency restrictions on multi-arm trials. In addition, the efficiency of the developed method is demonstrated based on simulation studies. Applications to a network meta-analysis of 12 new-generation antidepressants are presented. Copyright © 2016 John Wiley & Sons, Ltd.", "publicationTitle": "Statistics in Medicine", "publisher": "", "place": "", "date": "Dec 04, 2016", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Stat Med", "DOI": "10.1002/sim.7187", "citationKey": "", "url": "", "accessDate": "", "PMID": "27917493", "PMCID": "", "ISSN": "1097-0258", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "composite likelihood methods", "type": 1 }, { "tag": "inconsistency", "type": 1 }, { "tag": "indirect evidence", "type": 1 }, { "tag": "likelihood factorization", "type": 1 }, { "tag": "network meta-analysis", "type": 1 }, { "tag": "sensitivity analysis", "type": 1 } ], "collections": [ "J2X9B49S" ], "relations": {}, "dateAdded": "2017-02-01T15:09:10Z", "dateModified": "2017-02-01T15:09:10Z" } }, { "key": "BBVBDTSA", "version": 580, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/BBVBDTSA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/BBVBDTSA", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/F84DC42F", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } } }, "data": { "key": "BBVBDTSA", "version": 580, "parentItem": "F84DC42F", "itemType": "attachment", "linkMode": "linked_url", "title": "PubMed entry", "accessDate": "2017-02-01T15:09:10Z", "url": "http://www.ncbi.nlm.nih.gov/pubmed/27917493", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2017-02-01T15:09:10Z", "dateModified": "2017-02-01T15:09:10Z" } }, { "key": "5I2RZWFV", "version": 597, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/5I2RZWFV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/5I2RZWFV", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Efthimiou et al.", "parsedDate": "2017-01-12", "numChildren": 1 }, "data": { "key": "5I2RZWFV", "version": 597, "itemType": "journalArticle", "title": "Combining randomized and non-randomized evidence in network meta-analysis", "creators": [ { "creatorType": "author", "firstName": "Orestis", "lastName": "Efthimiou" }, { "creatorType": "author", "firstName": "Dimitris", "lastName": "Mavridis" }, { "creatorType": "author", "firstName": "Thomas P. A.", "lastName": "Debray" }, { "creatorType": "author", "firstName": "Myrto", "lastName": "Samara" }, { "creatorType": "author", "firstName": "Mark", "lastName": "Belger" }, { "creatorType": "author", "firstName": "George C. M.", "lastName": "Siontis" }, { "creatorType": "author", "firstName": "Stefan", "lastName": "Leucht" }, { "creatorType": "author", "firstName": "Georgia", "lastName": "Salanti" }, { "creatorType": "author", "name": "GetReal Work Package 4" } ], "abstractNote": "Non-randomized studies aim to reveal whether or not interventions are effective in real-life clinical practice, and there is a growing interest in including such evidence in the decision-making process. We evaluate existing methodologies and present new approaches to using non-randomized evidence in a network meta-analysis of randomized controlled trials (RCTs) when the aim is to assess relative treatment effects. We first discuss how to assess compatibility between the two types of evidence. We then present and compare an array of alternative methods that allow the inclusion of non-randomized studies in a network meta-analysis of RCTs: the naïve data synthesis, the design-adjusted synthesis, the use of non-randomized evidence as prior information and the use of three-level hierarchical models. We apply some of the methods in two previously published clinical examples comparing percutaneous interventions for the treatment of coronary in-stent restenosis and antipsychotics in patients with schizophrenia. We discuss in depth the advantages and limitations of each method, and we conclude that the inclusion of real-world evidence from non-randomized studies has the potential to corroborate findings from RCTs, increase precision and enhance the decision-making process. Copyright © 2017 John Wiley & Sons, Ltd.", "publicationTitle": "Statistics in Medicine", "publisher": "", "place": "", "date": "Jan 12, 2017", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Stat Med", "DOI": "10.1002/sim.7223", "citationKey": "", "url": "", "accessDate": "", "PMID": "28083901", "PMCID": "", "ISSN": "1097-0258", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "cohort studies", "type": 1 }, { "tag": "mixed treatment comparison", "type": 1 }, { "tag": "multiple treatments meta-analysis", "type": 1 }, { "tag": "observational data", "type": 1 }, { "tag": "observational evidence", "type": 1 }, { "tag": "observational studies", "type": 1 } ], "collections": [ "ES5DPG8K" ], "relations": {}, "dateAdded": "2017-01-29T12:28:39Z", "dateModified": "2017-01-29T12:28:39Z" } }, { "key": "222WABZF", "version": 579, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/222WABZF", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/222WABZF", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/5I2RZWFV", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } } }, "data": { "key": "222WABZF", "version": 579, "parentItem": "5I2RZWFV", "itemType": "attachment", "linkMode": "linked_url", "title": "PubMed entry", "accessDate": "2017-01-29T12:28:39Z", "url": "http://www.ncbi.nlm.nih.gov/pubmed/28083901", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2017-01-29T12:28:39Z", "dateModified": "2017-01-29T12:28:39Z" } }, { "key": "4QW6X2JC", "version": 597, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/4QW6X2JC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/4QW6X2JC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Chaimani et al.", "parsedDate": "2017-01-11", "numChildren": 1 }, "data": { "key": "4QW6X2JC", "version": 597, "itemType": "journalArticle", "title": "Additional considerations are required when preparing a protocol for a systematic review with multiple interventions", "creators": [ { "creatorType": "author", "firstName": "Anna", "lastName": "Chaimani" }, { "creatorType": "author", "firstName": "Deborah M.", "lastName": "Caldwell" }, { "creatorType": "author", "firstName": "Tianjing", "lastName": "Li" }, { "creatorType": "author", "firstName": "Julian Pt", "lastName": "Higgins" }, { "creatorType": "author", "firstName": "Georgia", "lastName": "Salanti" } ], "abstractNote": "OBJECTIVES: The number of systematic reviews that aim to compare multiple interventions using network meta-analysis is increasing. In this paper, we highlight aspects of a standard systematic review protocol that may need modification when multiple interventions are to be compared.\nSTUDY DESIGN AND SETTING: We take the protocol format suggested by Cochrane for a standard systematic review as our reference, and compare the considerations for a pairwise review with those required for a valid comparison of multiple interventions. We suggest new sections for protocols of systematic reviews including network meta-analyses with a focus on how to evaluate their assumptions. We provide example text from published protocols to exemplify the considerations.\nRESULTS AND CONCLUSION: Standard systematic review protocols for pairwise meta-analyses need extensions to accommodate the increased complexity of network meta-analysis. Our suggested modifications are widely applicable to both Cochrane and non-Cochrane systematic reviews involving network meta-analyses.", "publicationTitle": "Journal of Clinical Epidemiology", "publisher": "", "place": "", "date": "Jan 11, 2017", "volume": "", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Clin Epidemiol", "DOI": "10.1016/j.jclinepi.2016.11.015", "citationKey": "", "url": "", "accessDate": "", "PMID": "28088593", "PMCID": "", "ISSN": "1878-5921", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "comparative effectiveness review", "type": 1 }, { "tag": "eligibility criteria", "type": 1 }, { "tag": "indirect comparison", "type": 1 }, { "tag": "mixed treatment comparison", "type": 1 }, { "tag": "network meta-analysis", "type": 1 }, { "tag": "transitivity", "type": 1 } ], "collections": [ "ZII35CEH" ], "relations": {}, "dateAdded": "2017-01-29T11:36:23Z", "dateModified": "2017-01-29T11:36:23Z" } }, { "key": "BESQT49B", "version": 578, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/BESQT49B", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/BESQT49B", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/4QW6X2JC", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } } }, "data": { "key": "BESQT49B", "version": 578, "parentItem": "4QW6X2JC", "itemType": "attachment", "linkMode": "linked_url", "title": "PubMed entry", "accessDate": "2017-01-29T11:36:23Z", "url": "http://www.ncbi.nlm.nih.gov/pubmed/28088593", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2017-01-29T11:36:23Z", "dateModified": "2017-01-29T11:36:23Z" } }, { "key": "2GD4HF6R", "version": 574, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/2GD4HF6R", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/2GD4HF6R", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/X2Z4B4NU", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "2GD4HF6R", "version": 574, "parentItem": "X2Z4B4NU", "itemType": "attachment", "linkMode": "imported_url", "title": "Full Text PDF", "accessDate": "2016-11-07T08:31:11Z", "url": "http://onlinelibrary.wiley.com/store/10.1002/jrsm.1195/asset/jrsm1195.pdf?v=1&t=iv7t69wf&s=f5069737eaec80ff3a3bde60395722f464d81922", "note": "", "contentType": "application/pdf", "charset": "", "filename": "Efthimiou et al. - 2016 - GetReal in network meta-analysis a review of the .pdf", "md5": "c291f650efa075346c8db45381d90abb", "mtime": 1478507473254, "tags": [], "relations": {}, "dateAdded": "2016-11-07T08:31:11Z", "dateModified": "2016-11-07T08:31:14Z" } }, { "key": "DAA3F3CE", "version": 574, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/DAA3F3CE", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/DAA3F3CE", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/238216/items/X2Z4B4NU", "type": "application/json" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } } }, "data": { "key": "DAA3F3CE", "version": 574, "parentItem": "X2Z4B4NU", "itemType": "attachment", "linkMode": "imported_url", "title": "Snapshot", "accessDate": "2016-11-07T08:31:13Z", "url": "http://onlinelibrary.wiley.com/doi/10.1002/jrsm.1195/abstract", "note": "", "contentType": "text/html", "charset": "utf-8", "filename": "abstract.html", "md5": "672556f1399b7edb2478dc3090ce7b76", "mtime": 1478507472722, "tags": [], "relations": {}, "dateAdded": "2016-11-07T08:31:13Z", "dateModified": "2016-11-07T08:31:13Z" } }, { "key": "X2Z4B4NU", "version": 573, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/X2Z4B4NU", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/X2Z4B4NU", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "creatorSummary": "Efthimiou et al.", "parsedDate": "2016-09-01", "numChildren": 2 }, "data": { "key": "X2Z4B4NU", "version": 573, "itemType": "journalArticle", "title": "GetReal in network meta-analysis: a review of the methodology", "creators": [ { "creatorType": "author", "firstName": "Orestis", "lastName": "Efthimiou" }, { "creatorType": "author", "firstName": "Thomas P. A.", "lastName": "Debray" }, { "creatorType": "author", "firstName": "Gert", "lastName": "van Valkenhoef" }, { "creatorType": "author", "firstName": "Sven", "lastName": "Trelle" }, { "creatorType": "author", "firstName": "Klea", "lastName": "Panayidou" }, { "creatorType": "author", "firstName": "Karel G. M.", "lastName": "Moons" }, { "creatorType": "author", "firstName": "Johannes B.", "lastName": "Reitsma" }, { "creatorType": "author", "firstName": "Aijing", "lastName": "Shang" }, { "creatorType": "author", "firstName": "Georgia", "lastName": "Salanti" }, { "creatorType": "author", "name": "on behalf of GetReal Methods Review Group" } ], "abstractNote": "Pairwise meta-analysis is an established statistical tool for synthesizing evidence from multiple trials, but it is informative only about the relative efficacy of two specific interventions. The usefulness of pairwise meta-analysis is thus limited in real-life medical practice, where many competing interventions may be available for a certain condition and studies informing some of the pairwise comparisons may be lacking. This commonly encountered scenario has led to the development of network meta-analysis (NMA). In the last decade, several applications, methodological developments, and empirical studies in NMA have been published, and the area is thriving as its relevance to public health is increasingly recognized. This article presents a review of the relevant literature on NMA methodology aiming to pinpoint the developments that have appeared in the field. Copyright © 2016 John Wiley & Sons, Ltd.", "publicationTitle": "Research Synthesis Methods", "publisher": "", "place": "", "date": "September 1, 2016", "volume": "7", "issue": "3", "section": "", "partNumber": "", "partTitle": "", "pages": "236-263", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Res. Syn. Meth.", "DOI": "10.1002/jrsm.1195", "citationKey": "", "url": "http://onlinelibrary.wiley.com/doi/10.1002/jrsm.1195/abstract", "accessDate": "2016-11-07T08:31:11Z", "PMID": "", "PMCID": "", "ISSN": "1759-2887", "archive": "", "archiveLocation": "", "shortTitle": "GetReal in network meta-analysis", "language": "en", "libraryCatalog": "Wiley Online Library", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": {}, "dateAdded": "2016-11-07T08:31:11Z", "dateModified": "2016-11-07T08:31:11Z" } }, { "key": "MHEQBZG8", "version": 604, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/MHEQBZG8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/MHEQBZG8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Bafeta et al.", "parsedDate": "2014", "numChildren": 1 }, "data": { "key": "MHEQBZG8", "version": 604, "itemType": "journalArticle", "title": "Reporting of results from network meta-analyses: methodological systematic review", "creators": [ { "creatorType": "author", "firstName": "Aïda", "lastName": "Bafeta" }, { "creatorType": "author", "firstName": "Ludovic", "lastName": "Trinquart" }, { "creatorType": "author", "firstName": "Raphaèle", "lastName": "Seror" }, { "creatorType": "author", "firstName": "Philippe", "lastName": "Ravaud" } ], "abstractNote": "OBJECTIVE: To examine how the results of network meta-analyses are reported.\nDESIGN: Methodological systematic review of published reports of network meta-analyses.\nDATA SOURCES: Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Medline, and Embase, searched from inception to 12 July 2012.\nSTUDY SELECTION: All network meta-analyses comparing the clinical efficacy of three or more interventions in randomised controlled trials were included, excluding meta-analyses with an open loop network of three interventions.\nDATA EXTRACTION AND SYNTHESIS: The reporting of the network and results was assessed. A composite outcome included the description of the network (number of interventions, direct comparisons, and randomised controlled trials and patients for each comparison) and the reporting of effect sizes derived from direct evidence, indirect evidence, and the network meta-analysis.\nRESULTS: 121 network meta-analyses (55 published in general journals; 48 funded by at least one private source) were included. The network and its geometry (network graph) were not reported in 100 (83%) articles. The effect sizes derived from direct evidence, indirect evidence, and the network meta-analysis were not reported in 48 (40%), 108 (89%), and 43 (36%) articles, respectively. In 52 reports that ranked interventions, 43 did not report the uncertainty in ranking. Overall, 119 (98%) reports of network meta-analyses did not give a description of the network or effect sizes from direct evidence, indirect evidence, and the network meta-analysis. This finding did not differ by journal type or funding source.\nCONCLUSIONS: The results of network meta-analyses are heterogeneously reported. Development of reporting guidelines to assist authors in writing and readers in critically appraising reports of network meta-analyses is timely.", "publicationTitle": "BMJ (Clinical research ed.)", "publisher": "", "place": "", "date": "2014", "volume": "348", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "g1741", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "BMJ", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "PMID": "24618053", "PMCID": "PMC3949412", "ISSN": "1756-1833", "archive": "", "archiveLocation": "", "shortTitle": "Reporting of results from network meta-analyses", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/AJWACC2H" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } }, { "key": "38ZF7WQ8", "version": 604, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/38ZF7WQ8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/38ZF7WQ8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Biondi-Zoccai et al.", "parsedDate": "2015-03-01", "numChildren": 1 }, "data": { "key": "38ZF7WQ8", "version": 604, "itemType": "journalArticle", "title": "Network meta-analysis for evidence synthesis: what is it and why is it posed to dominate cardiovascular decision making?", "creators": [ { "creatorType": "author", "firstName": "Giuseppe", "lastName": "Biondi-Zoccai" }, { "creatorType": "author", "firstName": "Antonio", "lastName": "Abbate" }, { "creatorType": "author", "firstName": "Umberto", "lastName": "Benedetto" }, { "creatorType": "author", "firstName": "Tullio", "lastName": "Palmerini" }, { "creatorType": "author", "firstName": "Fabrizio", "lastName": "D'Ascenzo" }, { "creatorType": "author", "firstName": "Giacomo", "lastName": "Frati" } ], "abstractNote": "Clinical decision-making requires synthesis of an often complex evidence base. Novel tools have been developed building upon the historical approach of reviewing the literature focusing on a specific topic. Stemming from qualitative reviews, systematic reviews of randomized clinical trials, typically encompassing statistical pooling with pairwise meta-analysis, have been devised and are now considered one of the uppermost ladders in the hierarchy of clinical evidence. In the last decade, the exponential growth in randomized trials and the introduction of original computational methods have created the novel opportunity to compare indirectly competing treatments, as well as combining effect estimates stemming from head-to-head trials with those obtained by indirect comparisons. These methods include adjusted indirect comparison meta-analysis, network meta-analysis, and mixed treatment comparison. While still the focus of intense research and debate, they represent a powerful tool for evidence synthesis and comparative effectiveness in cardiovascular research, and thus are likely to become increasingly popular and impactful in shaping research agenda and clinical practice. This is clearly highlighted by a number of recent landmark network meta-analyses on smoking cessation therapies, coronary stents, and management of patent foramen ovale in patients with history of cryptogenic stroke.", "publicationTitle": "International Journal of Cardiology", "publisher": "", "place": "", "date": "Mar 1, 2015", "volume": "182", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "309-314", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Int. J. Cardiol.", "DOI": "10.1016/j.ijcard.2015.01.023", "citationKey": "", "url": "", "accessDate": "", "PMID": "25585376", "PMCID": "", "ISSN": "1874-1754", "archive": "", "archiveLocation": "", "shortTitle": "Network meta-analysis for evidence synthesis", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/BUQU5936" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } }, { "key": "HV9RJHXF", "version": 604, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/HV9RJHXF", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/HV9RJHXF", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Bhatnagar et al.", "parsedDate": "2014-10", "numChildren": 1 }, "data": { "key": "HV9RJHXF", "version": 604, "itemType": "journalArticle", "title": "Multiple treatment and indirect treatment comparisons: An overview of network meta-analysis", "creators": [ { "creatorType": "author", "firstName": "Nidhi", "lastName": "Bhatnagar" }, { "creatorType": "author", "firstName": "P. V. M.", "lastName": "Lakshmi" }, { "creatorType": "author", "firstName": "Kathiresan", "lastName": "Jeyashree" } ], "abstractNote": "Randomized control trials and its meta-analysis has occupied the pinnacle in levels of evidence available for research. However, there were several limitations of these trials. Network meta-analysis (NMA) is a recent tool for evidence-based medicine that draws strength from direct and indirect evidence generated from randomized control trials. It facilitates comparisons across multiple treatment options, direct comparisons of which have not been attempted till date due to multitude of reasons. These indirect treatment comparisons of randomized controlled trials are based on similarity and consistency assumptions that follow Bayesian or frequentist statistics. Most NMAuntil date use Microsoft Windows WinBUGs Software for analysis which relies on Bayesian statistics. Methodology of NMA is expected to undergo further refinements and become robust with usage. Power and precision of indirect comparisons in NMA is a concern as it is dependent on effective number of trials, sample size and complete statistical information. However, NMA can synthesize results of considerable relevance to experts and policy makers.", "publicationTitle": "Perspectives in Clinical Research", "publisher": "", "place": "", "date": "Oct 2014", "volume": "5", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "154-158", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Perspect Clin Res", "DOI": "10.4103/2229-3485.140550", "citationKey": "", "url": "", "accessDate": "", "PMID": "25276624", "PMCID": "PMC4170532", "ISSN": "2229-3485", "archive": "", "archiveLocation": "", "shortTitle": "Multiple treatment and indirect treatment comparisons", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/2HIPP224" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } }, { "key": "CUI54FN8", "version": 604, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/CUI54FN8", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/CUI54FN8", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Agapova et al.", "parsedDate": "2014-07", "numChildren": 1 }, "data": { "key": "CUI54FN8", "version": 604, "itemType": "journalArticle", "title": "Using indirect comparisons to compare interventions within a Cochrane review: a tool for comparative effectiveness research", "creators": [ { "creatorType": "author", "firstName": "Maria", "lastName": "Agapova" }, { "creatorType": "author", "firstName": "Emily B.", "lastName": "Devine" }, { "creatorType": "author", "firstName": "Hiep", "lastName": "Nguyen" }, { "creatorType": "author", "firstName": "Fredric M.", "lastName": "Wolf" }, { "creatorType": "author", "firstName": "Lurdes Y. T.", "lastName": "Inoue" } ], "abstractNote": "AIM: Assessing relative performance among competing interventions is an important part of comparative effectiveness research. Bayesian indirect comparisons add information to existing Cochrane reviews, such as which intervention is likely to perform best. However, heterogeneity variance priors may influence results and, potentially, clinical guidance.\nMETHODS: We highlight the features of Bayesian indirect comparisons using a case study of a Cochrane review update in asthma care. The probability that one self-management educational intervention outperforms others is estimated. Simulation studies investigate the effect of heterogeneity variance prior distributions.\nRESULTS: Results suggest a 55% probability that individual education is best, followed by combination (39%) and group (6%). The intervention with few trials was sensitive to prior distributions.\nCONCLUSION: Bayesian indirect comparisons updates of Cochrane reviews are valuable comparative effectiveness research tools.", "publicationTitle": "Journal of Comparative Effectiveness Research", "publisher": "", "place": "", "date": "Jul 2014", "volume": "3", "issue": "4", "section": "", "partNumber": "", "partTitle": "", "pages": "345-357", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "J Comp Eff Res", "DOI": "10.2217/cer.14.29", "citationKey": "", "url": "", "accessDate": "", "PMID": "25275232", "PMCID": "", "ISSN": "2042-6313", "archive": "", "archiveLocation": "", "shortTitle": "Using indirect comparisons to compare interventions within a Cochrane review", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/ZBM8PWU5" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } }, { "key": "VII5GMEA", "version": 604, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/VII5GMEA", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/VII5GMEA", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Achana et al.", "parsedDate": "2014", "numChildren": 1 }, "data": { "key": "VII5GMEA", "version": 604, "itemType": "journalArticle", "title": "Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes", "creators": [ { "creatorType": "author", "firstName": "Felix A.", "lastName": "Achana" }, { "creatorType": "author", "firstName": "Nicola J.", "lastName": "Cooper" }, { "creatorType": "author", "firstName": "Sylwia", "lastName": "Bujkiewicz" }, { "creatorType": "author", "firstName": "Stephanie J.", "lastName": "Hubbard" }, { "creatorType": "author", "firstName": "Denise", "lastName": "Kendrick" }, { "creatorType": "author", "firstName": "David R.", "lastName": "Jones" }, { "creatorType": "author", "firstName": "Alex J.", "lastName": "Sutton" } ], "abstractNote": "BACKGROUND: Network meta-analysis (NMA) enables simultaneous comparison of multiple treatments while preserving randomisation. When summarising evidence to inform an economic evaluation, it is important that the analysis accurately reflects the dependency structure within the data, as correlations between outcomes may have implication for estimating the net benefit associated with treatment. A multivariate NMA offers a framework for evaluating multiple treatments across multiple outcome measures while accounting for the correlation structure between outcomes.\nMETHODS: The standard NMA model is extended to multiple outcome settings in two stages. In the first stage, information is borrowed across outcomes as well across studies through modelling the within-study and between-study correlation structure. In the second stage, we make use of the additional assumption that intervention effects are exchangeable between outcomes to predict effect estimates for all outcomes, including effect estimates on outcomes where evidence is either sparse or the treatment had not been considered by any one of the studies included in the analysis. We apply the methods to binary outcome data from a systematic review evaluating the effectiveness of nine home safety interventions on uptake of three poisoning prevention practices (safe storage of medicines, safe storage of other household products, and possession of poison centre control telephone number) in households with children. Analyses are conducted in WinBUGS using Markov Chain Monte Carlo (MCMC) simulations.\nRESULTS: Univariate and the first stage multivariate models produced broadly similar point estimates of intervention effects but the uncertainty around the multivariate estimates varied depending on the prior distribution specified for the between-study covariance structure. The second stage multivariate analyses produced more precise effect estimates while enabling intervention effects to be predicted for all outcomes, including intervention effects on outcomes not directly considered by the studies included in the analysis.\nCONCLUSIONS: Accounting for the dependency between outcomes in a multivariate meta-analysis may or may not improve the precision of effect estimates from a network meta-analysis compared to analysing each outcome separately.", "publicationTitle": "BMC medical research methodology", "publisher": "", "place": "", "date": "2014", "volume": "14", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "92", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "BMC Med Res Methodol", "DOI": "10.1186/1471-2288-14-92", "citationKey": "", "url": "", "accessDate": "", "PMID": "25047164", "PMCID": "PMC4142066", "ISSN": "1471-2288", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/DX6UA6MA" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } }, { "key": "MVTJTR7H", "version": 603, "library": { "type": "group", "id": 238216, "name": "WP4 - Network meta-analysis", "links": { "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/238216/items/MVTJTR7H", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/wp4_-_network_meta-analysis/items/MVTJTR7H", "type": "text/html" } }, "meta": { "createdByUser": { "id": 1675074, "username": "oremiou", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/oremiou", "type": "text/html" } } }, "lastModifiedByUser": { "id": 1433928, "username": "georgia.salanti", "name": "", "links": { "alternate": { "href": "https://www.zotero.org/georgia.salanti", "type": "text/html" } } }, "creatorSummary": "Benkhadra et al.", "parsedDate": "2015-01-07", "numChildren": 1 }, "data": { "key": "MVTJTR7H", "version": 603, "itemType": "journalArticle", "title": "Network meta-analysis: introduction and an example that compares devices for PFO closure", "creators": [ { "creatorType": "author", "firstName": "Khalid", "lastName": "Benkhadra" }, { "creatorType": "author", "firstName": "Zhen", "lastName": "Wang" }, { "creatorType": "author", "firstName": "Mohammad Hassan", "lastName": "Murad" } ], "abstractNote": "", "publicationTitle": "European Heart Journal", "publisher": "", "place": "", "date": "Jan 7, 2015", "volume": "36", "issue": "2", "section": "", "partNumber": "", "partTitle": "", "pages": "80-82", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Eur. Heart J.", "DOI": "10.1093/eurheartj/ehu343", "citationKey": "", "url": "", "accessDate": "", "PMID": "25253563", "PMCID": "", "ISSN": "1522-9645", "archive": "", "archiveLocation": "", "shortTitle": "Network meta-analysis", "language": "eng", "libraryCatalog": "PubMed", "callNumber": "", "rights": "", "extra": "", "tags": [ { "tag": "Update 2016" } ], "collections": [ "X9EAM88T" ], "relations": { "owl:sameAs": "http://zotero.org/groups/550611/items/F3R59UPK" }, "dateAdded": "2016-11-04T12:02:11Z", "dateModified": "2016-11-04T12:02:11Z" } } ]