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Systematic Reviews in the Social Sciences: A Practical Guide

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TLDR
Systematic review methods have been widely used in health care, and are becoming increasingly common in the social sciences (fostered by the work of the Campbell Collaboration) as mentioned in this paper.
Abstract
Such diverse thinkers as Lao-Tze, Confucius, and U.S. Defense Secretary Donald Rumsfeld have all pointed out that we need to be able to tell the difference between real and assumed knowledge. The systematic review is a scientific tool that can help with this difficult task. It can help, for example, with appraising, summarising, and communicating the results and implications of otherwise unmanageable quantities of data. This is important because quite often there are so many studies, and their results are often so conflicting, that no policymaker or practitioner could possibly carry out this task themselves.Systematic review methods have been widely used in health care, and are becoming increasingly common in the social sciences (fostered, for example, by the work of the Campbell Collaboration). This book outlines the rationale and methods of systematic reviews, giving worked examples from social science and other fields. It requires no previous knowledge, but takes the reader through the process stage by stage. It draws on examples from such diverse fields as psychology, criminology, education, transport, social welfare, public health, and housing and urban policy, among others.The book includes detailed sections on assessing the quality of both quantitative, and qualitative research; searching for evidence in the social sciences;meta-analytic and other methods of evidence synthesis; publication bias; heterogeneity; and approaches to dissemination.

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Book

Cochrane Handbook for Systematic Reviews of Interventions

TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
Journal ArticleDOI

Methods for the thematic synthesis of qualitative research in systematic reviews

TL;DR: Thematic synthesis is presented as a tried and tested method that preserves an explicit and transparent link between conclusions and the text of primary studies; as such it preserves principles that have traditionally been important to systematic reviewing.

Guidance on the conduct of narrative synthesis in systematic Reviews. A Product from the ESRC Methods Programme. Version 1

TL;DR: Titles & abstract s Titles & abstracts include N=54 Include N=121 Including N=89 Ex exclude N = 0 Exclude N = 1,024 Exclusion N = 21.
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Systematic reviews: CRD's guidance for undertaking reviews in health care

TL;DR: Riedel DJ, Gonzalez-Cuyar LF, Zhao XF, Redfi eld RR, Gilliam BL as discussed by the authors, and Redfellow RR have reported CD138-negative plasmablastic lymphoma cases (such as this case).
References
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Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.

The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses

TL;DR: The Newcastle-Ottawa Scale (NOS) as discussed by the authors was developed to assess the quality of nonrandomised studies with its design, content and ease of use directed to the task of incorporating the quality assessments in the interpretation of meta-analytic results.
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