Hi Marcus,
The Agency for Healthcare Research and Quality has quite a bit of learning material on this topic. Let's begin with an AHRQ Methods Guide piece entitled "Selecting Observatioanl Studies for Medical Interventions (http://effectivehealthcare.ahrq.gov/ehc/products/196/454/MethodsGuideNorris_06042010.pdf) and "Developing a Protocol for Observational Comparative
Effectiveness Research: A User’s Guide" (http://www.effectivehealthcare.ahrq.gov/index.cfm/search-for-guides-reviews-and-reports/?pageaction=displayproduct&productid=1166). The second has a series of powerpoint presentations also available (http://effectivehealthcare.ahrq.gov/tools-and-resources/slide-library/#ocerprotocol).
From the Cochrane Collaboration, Chapter 13 (Including non-randomized studies - http://www.mrc-bsu.cam.ac.uk/cochrane/handbook/chapter_13/13_including_non_randomized_studies.htm) of the Cochrane Handbook for Systematic Reviewers (provides guidance from the Cochrane Non-Randomized Studies Methods Group). Additionally, individual groups have given their own advice (e.g. the Cochrane EffectivePractice and Organization of Care Group (EPOC) - http://epoc.cochrane.org/).
Hope this helps.
Ahmed
P.S. Short answer, use crude data if you can and meta-analyze using mean (SE) using inverse variance in RevMan. Often you'll only get adjusted data so document what you can find.
> Date: Wed, 1 May 2013 15:21:28 +0100
> From:
[log in to unmask]> Subject: Adjusted or crude data for meta-analysis
> To:
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> Dear colleagues,
>
> We are looking for good references for meta-analysis of observational studies.
> Anyone has a suggestion about adjusted or crude data (or both) for meta-analysis?
>
> Thanks in advance,
>
> Marcus.