Evidence map›Paper›PMID 40393480›Full record

ArticleProceedings. Biological sciences2025

Reliability of meta-analyses in ecology and evolution: (mostly) good news from a case study on sexual signals.

Pietro Pollo, Malgorzata Lagisz, Renato C Macedo-Rego, Ayumi Mizuno, Yefeng Yang, Shinichi Nakagawa

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pietro PolloEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID 0000-0001-6555-5400
Malgorzata LagiszEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID 0000-0002-3993-6127
Renato C Macedo-RegoDepartamento de Biologia Geral, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0002-2973-9912
Ayumi MizunoEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID 0000-0003-0822-5637
Yefeng YangEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID 0000-0002-8610-4016
Shinichi NakagawaEvolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Kensington, New South Wales, Australia.ORCID 0000-0002-7765-5182

Funding

Australian Research CouncilCanada Excellence Research Chair ProgramCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
6 · The paper itself

Abstract

Meta-analyses are powerful synthesis tools that are popular in ecology and evolution owing to the rapidly growing literature of this field. Although the usefulness of meta-analyses depends on their reliability, such as the precision of individual and mean effect sizes, attempts to reproduce meta-analyses' results remain rare in ecology and evolution. Here, we assess the reliability of 41 meta-analyses on sexual signals by evaluating the reproducibility and replicability of their results. We attempted to: (i) reproduce meta-analyses' mean effect sizes using the datasets they provided; (ii) reproduce meta-analyses' effect sizes by re-extracting 5703 effect sizes from 246 primary studies they used as sources; (iii) assess the extent of relevant data missed by original meta-analyses; and (iv) replicate meta-analyses' mean effect sizes after incorporating re-extracted and relevant missing data. We found many discrepancies between meta-analyses' reported results and those generated by our analyses for all reproducibility and replicability attempts. Nonetheless, we argue that the meta-analyses we evaluated are largely reproducible and replicable because the differences we found were small in magnitude, leaving the original interpretation of these meta-analyses' results unchanged. Still, we highlight issues we observed in these meta-analyses that affected their reliability, providing recommendations to ameliorate them.

Indexed as

Animal CommunicationBiological EvolutionEcologyMeta-Analysis as TopicAnimalsReproducibility of Resultsdata integritymethodological accuracyopen scienceresearch synthesissexual selection

Identifiers

PMID40393480
PMCPMC12092126

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.