ArticleAnatolian journal of cardiology2015
The most critical question when reading a meta-analysis report: Is it comparing apples with apples or apples with oranges?
Article in Anatolian journal of cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed, 3 citations in OpenAlex.
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Authors and funding
3 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveWhile the number of meta-analyses published has increased recently, most of them have problems in the design, analysis, and/or presentation. An example of meta-analyses with a study selection bias is a meta-analysis of over 160,000 patients in 20 clinical trials, published in Eur Heart J in 2012 by van Vark, which concluded that the significant effect of renin-angiotensin-aldosterone system (RAAS) inhibition on all-cause mortality was limited to the class of angiotensin-converting enzyme inhibitors (ACEIs), whereas no mortality reduction could be demonstrated with angiotensin receptor blockers (ARBs). Here, we aimed to discuss how to select studies for a meta-analysis and to present our results of a re-analysis of the van Vark data.
methodsThe data were re-analyzed in three steps: firstly, only ACEI/ARB-based studies (4 ACEI and 12 ARB studies) were included; secondly, placebo-controlled studies were excluded, and 10 studies left were analyzed; and thirdly, 2 studies that were retracted after the manuscript of van Vark had been published were excluded. The final analysis included 8 studies with ~65,000 patients (3 ACEI and 5 ARB studies).
resultsThe hazard ratios for all-cause mortality and cardiovascular mortality were 0.992 (95% CI 0.899-1.095; p=0.875) and 1.017 (0.932-1.110; p=0.703) for the ACEI versus control group and 1.007 (0.958-1.059; p=0.778) and 0.967 (0.911-1.025; p=0.258) for the ARB versus control group in the first step. The results were similar in the second and third steps.
conclusionThe studies to be included in meta-analyses, particularly comparing ACEIs and ARBs, should be chosen carefully.
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