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本帖最后由 蓝鱼o_0 于 2012-1-26 18:15 编辑
Meta 分析作为一种用于鉴定、评价、综合分析相关研究的系统性的方法,已越来越广泛地用于随机对照试验(randomized controlled trials,RCTs)。但事实上,很多情况下随机对照的设计并都是可行的,很多数据是从观察性的研究(observational study)中得来的。观察性研究缺乏对干预因素的随机分配,仅从某种研究特征改变及这种研究特征的改变引起的观察结果变化来得出结论。观察性研究固然有其优点,但不足之处是显而易见的,因此如何对其进行Meta分析就成为一个问题?
分享一篇JAMA的文章。这篇文章不算很新,但是很有指导意义!
JAMA,2000,283(15)2008
文章认为对于观察性研究Meta分析应包括以下条目:
Table. A Proposed Reporting Checklist for Authors, Editors, and Reviewers of Meta-analyses of Observational Studies
Reporting of background should include
Problem definition
Hypothesis statement
Description of study outcome
Type of exposure or intervention used
Type of study designs used
Study population
Reporting of search strategy should include
Qualifications of searchers (eg, librarians and investigators)
Search strategy, including time period included in the synthesis and keywords
Effort to include all available studies, including contact with authors
Databases and registries searched
Search software used, name and version, including special features used (eg, explosion)
Use of hand searching (eg, reference lists of obtained articles)
List of citations located and those excluded, including justification
Method of addressing articles published in languages other than English
Method of handling abstracts and unpublished studies
Description of any contact with authors
Reporting of methods should include
Description of relevance or appropriateness of studies assembled for assessing the hypothesis to be tested
Rationale for the selection and coding of data (eg, sound clinical principles or convenience)
Documentation of how data were classified and coded (eg, multiple raters, blinding, and interrater reliability)
Assessment of confounding (eg, comparability of cases and controls in studies where appropriate)
Assessment of study quality, including blinding of quality assessors; stratification or regression on possible predictors of study results
Assessment of heterogeneity
Description of statistical methods (eg, complete description of fixed or random effects models,
justification of whether the chosen models account for predictors of study results,
dose-response models, or cumulative meta-analysis) in sufficient detail to be replicated
Provision of appropriate tables and graphics
Reporting of results should include
Graphic summarizing individual study estimates and overall estimate
Table giving descriptive information for each study included
Results of sensitivity testing (eg, subgroup analysis)
Indication of statistical uncertainty of findings
Reporting of discussion should include
Quantitative assessment of bias (eg, publication bias)
Justification for exclusion (eg, exclusion of non–English-language citations)
Assessment of quality of included studies
Reporting of conclusions should include
Consideration of alternative explanations for observed results
Generalization of the conclusions (ie, appropriate for the data presented and within the domain
of the literature review)
Guidelines for future research
Disclosure of funding source
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