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Systematic review of observational studies.

Amanda G. Thrift
- 01 Jan 2010 - 
- Vol. 34, Iss: 4, pp 262-263
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TLDR
To update knowledge of stroke morbidity and early case-fatality and to review secular trends in stroke incidence and case fatality, all population-based studies with comprehensive case ascertainment were included.
Abstract
Review Question and Eligibility The first step in conducting a systematic review is to define the review question and to outline the eligibility criteria for including studies. For descriptive studies, the review question will state the types of participants included, such as age, gender, disease, diagnostic criteria and setting. Feigin et al. [4] proposed to update knowledge of stroke morbidity and early case-fatality and to review secular trends in stroke incidence and case fatality. All population-based studies with comprehensive case ascertainment were included. Most of the criteria related to those of ‘ideal’ stroke incidence studies [5] , but the authors also needed to calculate specific rates. This necessitated a decision to include only those studies that published the appropriate raw numbers to calculate these figures. Adding to the rigour of the analysis by increasing the number of studies that could be used, Feigin et al. [4] obtained some of these missing data from the authors of the original articles.

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Part I: frequency of depression after stroke: an updated systematic review and meta-analysis of observational studies.

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Depression, anxiety and their relationship with chronic diseases: a review of the epidemiology, risk and treatment evidence.

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References
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Journal ArticleDOI

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.
Journal ArticleDOI

Systematic reviews in health care: Assessing the quality of controlled clinical trials

TL;DR: The concept of study quality and the methods used to assess quality are discussed and the methodology for both the assessment of quality and its incorporation into systematic reviews and meta-analysis is discussed.
Journal ArticleDOI

Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review

TL;DR: A systematic review of population-based studies of the incidence and early (21 days to 1 month) case fatality of stroke is based on studies published from 1970 to 2008 as mentioned in this paper.
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Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis.

TL;DR: Asymmetrical funnel plots may indicate publication bias or be due to exaggeration of treatment effects in small studies of low quality; funnel plots should be seen as a means of examining “small study effects” rather than a tool for diagnosing specific types of bias.