Meta-analyses of the same intervention can yield conflicting results due to differences in inclusion criteria, statistical methods, and outcome definitions.
This paper examines why meta-analyses on the same topic may disagree, highlighting that pooled estimates can vary based on methodological choices. It emphasizes the need to look beyond the summary effect to understand sources of heterogeneity.
This article is automatically generated from the structured evidence profile behind the claim above. Scores reflect the quality and quantity of available research, not clinical advice.
Meta-analyses of the same intervention can yield conflicting results due to differences in inclusion criteria, statistical methods, and outcome definitions. The current body of evidence comprises 1 study and 1 meta-analysis. EvidenceHub rates the overall confidence at 47/100 (low).
The Claim
Meta-analyses of the same intervention can yield conflicting results due to differences in inclusion criteria, statistical methods, and outcome definitions.
This conclusion is most relevant to: Not applicable (review of meta-analytic methods).
What the Research Shows
The conclusion draws on 1 linked study. Highlights from the cited literature:
- ▸When meta-analyses disagree: looking beyond the pooled estimate. (Critical care (London, England), 2026) —
How It Works
The proposed biological pathway:
- ▸Different inclusion criteria select different study populations
- ▸Varying statistical models (fixed vs. random effects) alter pooled estimates
- ▸Heterogeneity in outcome measurement or timing introduces variability
- ▸Result: Meta-analyses may produce conflicting conclusions
Who Might Benefit
Evidence fit by population:
- ▸Not applicable (review of meta-analytic methods)
Recommended Dose
N/A
Limitations & Caveats
Important context when interpreting this evidence:
- ▸The paper does not provide a specific clinical example with quantitative data
- ▸Abstract does not specify the number of meta-analyses compared or the clinical domain
Frequently Asked Questions
Why do meta-analyses on the same topic sometimes disagree?▼
Differences in inclusion criteria, statistical methods, and outcome definitions can lead to conflicting pooled estimates.
What should clinicians do when meta-analyses conflict?▼
Clinicians should examine the sources of heterogeneity, such as study populations and methods, rather than relying solely on the pooled estimate.
Is this paper about a specific treatment or general methodology?▼
It is a general methodological review on why meta-analyses may disagree, not focused on a specific intervention.
Does this paper provide a solution to conflicting meta-analyses?▼
It suggests looking beyond the pooled estimate to understand methodological differences, but does not offer a definitive resolution.
References
- 1.Lakbar I, Poole D. “When meta-analyses disagree: looking beyond the pooled estimate..” Critical care (London, England), 2026. PMID: 42503509 DOI: 10.1186/s13054-026-06216-1