Evidence map›Paper›PMID 39327468›Full record

ArticleNature ecology & evolution2024

A large-scale in silico replication of ecological and evolutionary studies.

Yefeng Yang, Erik van Zwet, Nikolaos Ignatiadis, Shinichi Nakagawa

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature ecology & evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Yefeng Yang *Evolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia. yefeng.yang1@unsw.edu.au.ORCID http://orcid.org/0000-0002-8610-4016
Erik van Zwet *Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.ORCID http://orcid.org/0000-0001-5537-3179
Nikolaos IgnatiadisDepartment of Statistics and Data Science Institute, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7767-2583
Shinichi NakagawaEvolution & Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia. s.nakagawa@unsw.edu.au.ORCID http://orcid.org/0000-0002-7765-5182

Funding

Department of Education and Training | Australian Research Council (ARC) DP210100812Department of Education and Training | Australian Research Council (ARC) DP230101248National Natural Science Foundation of China (National Science Foundation of China) 32102597
6 · The paper itself

Abstract

Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%-40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting 'strong' evidence against the null hypothesis H

Indexed as

Biological EvolutionComputer SimulationEcologyReproducibility of ResultsResearch Design

Identifiers

PMID39327468
PMCPMC11618063

What OpenQuestion holds

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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.