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Raju Kanukula; Joanne E. McKenzie; Lisa Bero; Zhaoli Dai; Sally McDonald; Cynthia M. Kroeger; Elizabeth Korevaar; Andrew Forbes; Matthew J. Page – Research Synthesis Methods, 2024
We aimed to explore, in a sample of systematic reviews (SRs) with meta-analyses of the association between food/diet and health-related outcomes, whether systematic reviewers selectively included study effect estimates in meta-analyses when multiple effect estimates were available. We randomly selected SRs of food/diet and health-related outcomes…
Descriptors: Meta Analysis, Intervention, Comparative Analysis, Food
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Briscoe, Simon; Bethel, Alison; Rogers, Morwenna – Research Synthesis Methods, 2020
Background: The search for studies for a systematic review should be conducted systematically and reported transparently to facilitate reproduction. This study aimed to report on the conduct and reporting of backward citation searching (ie, checking reference lists) and forward citation searching in a cross section of Cochrane reviews. Citation…
Descriptors: Case Studies, Citations (References), Databases, Search Strategies
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Rombey, Tanja; Lochner, Valerie; Puljak, Livia; Könsgen, Nadja; Mathes, Tim; Pieper, Dawid – Research Synthesis Methods, 2020
Background: It is important that systematic reviews (SRs) are up-to-date, otherwise they cannot be relied upon to guide decision-making in practice and policy. Our aim was to investigate epidemiological, descriptive and reporting characteristics of a cross-section of recently published updates of SRs. Methods: A SR update was defined as a new…
Descriptors: Epidemiology, Decision Making, Case Studies, Research Reports
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Price, Malcolm J.; Blake, Helen A.; Kenyon, Sara; White, Ian R.; Jackson, Dan; Kirkham, Jamie J.; Neilson, James P.; Deeks, Jonathan J.; Riley, Richard D. – Research Synthesis Methods, 2019
Background: Multivariate meta-analysis (MVMA) jointly synthesizes effects for multiple correlated outcomes. The MVMA model is potentially more difficult and time-consuming to apply than univariate models, so if its use makes little difference to parameter estimates, it could be argued that it is redundant. Methods: We assessed the applicability…
Descriptors: Comparative Analysis, Medical Research, Correlation, Meta Analysis
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Mavridis, Dimitris; Moustaki, Irini; Wall, Melanie; Salanti, Georgia – Research Synthesis Methods, 2017
When considering data from many trials, it is likely that some of them present a markedly different intervention effect or exert an undue influence on the summary results. We develop a forward search algorithm for identifying outlying and influential studies in meta-analysis models. The forward search algorithm starts by fitting the hypothesized…
Descriptors: Research Reports, Regression (Statistics), Meta Analysis, Intervention
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Moustgaard, Helene; Jones, Hayley E.; Savovic, Jelena; Clayton, Gemma L.; Sterne, Jonathan AC; Higgins, Julian PT; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2020
Randomized clinical trials underpin evidence-based clinical practice, but flaws in their conduct may lead to biased estimates of intervention effects and hence invalid treatment recommendations. The main approach to the empirical study of bias is to collate a number of meta-analyses and, within each, compare the results of trials with and without…
Descriptors: Epidemiology, Evidence, Medical Research, Intervention
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Burns, J.; Polus, S.; Brereton, L.; Chilcott, J.; Ward, S. E.; Pfadenhauer, L. M.; Rehfuess, E. A. – Research Synthesis Methods, 2018
We describe a combination of methods for assessing the effectiveness of complex interventions, especially where substantial heterogeneity with regard to the population, intervention, comparison, outcomes, and study design of interest is expected. We applied these methods in a recent systematic review of the effectiveness of reinforced home-based…
Descriptors: Evaluation Methods, Intervention, Program Effectiveness, Health Services
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Golder, Su; Wright, Kath; Loke, Yoon K. – Research Synthesis Methods, 2017
Authors and indexers are increasingly including terms for adverse "drug" effects in the titles, abstracts, or indexing of records in MEDLINE and Embase. However, it is not clear if this is the same for studies with "nondrug" adverse effects data. We therefore assessed the feasibility of using adverse effects terms when…
Descriptors: Intervention, Outcomes of Treatment, Databases, Medical Research
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Fanshawe, Thomas R.; Shaw, Luke F.; Spence, Graeme T. – Research Synthesis Methods, 2017
Introduction: Previous studies suggest that many systematic reviews contain meta-analyses that display temporal trends, such as the first study's result being more extreme than later studies' or a drift in the pooled estimate. We assessed the extent and characteristics of temporal trends using all Cochrane intervention reports published 2008-2012.…
Descriptors: Meta Analysis, Intervention, Databases, Medical Research
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Isojarvi, Jaana; Wood, Hannah; Lefebvre, Carol; Glanville, Julie – Research Synthesis Methods, 2018
Clinical trial data are essential for assessments of the effectiveness of health care interventions. Information about ongoing or completed, but not yet formally published, trials has been more difficult to identify until the development of clinical trials registers and portals. This paper summarises research evidence on identifying sources of…
Descriptors: Medical Research, Outcomes of Treatment, Intervention, Health Services
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Norris, Susan L.; Moher, David; Reeves, Barnaby C.; Shea, Beverley; Loke, Yoon; Garner, Sarah; Anderson, Laurie; Tugwell, Peter; Wells, George – Research Synthesis Methods, 2013
Background: Selective outcome and analysis reporting (SOR and SAR) occur when only a subset of outcomes measured and analyzed in a study is fully reported, and are an important source of potential bias. Key methodological issues: We describe what is known about the prevalence and effects of SOR and SAR in both randomized controlled trials (RCTs)…
Descriptors: Health Services, Intervention, Outcomes of Treatment, Research Methodology