Evidence map›Paper›PMID 29666377›Full record

SynthesisScientific reports2018

Potential Reporting Bias in Neuroimaging Studies of Sex Differences.

Sean P David, Florian Naudet, Jennifer Laude, Joaquim Radua, Paolo Fusar-Poli, Isabella Chu, Marcia L Stefanick, John P A Ioannidis

Abstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 6 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

41 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Review
  8. Article
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  13. Reporting checklists in neuroimaging: promoting transparency, replicability, and reproducibility.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  14. Article
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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

8 authors.

Sean P DavidDepartment of Medicine, Stanford University School of Medicine, Stanford, USA. spdavid@stanford.edu.
Florian NaudetDepartment of Medicine, Stanford University School of Medicine, Stanford, USA.ORCID 0000-0003-3760-3801
Jennifer LaudeDepartment of Medicine, Stanford University School of Medicine, Stanford, USA.
Joaquim RaduaEarly Psychosis: Interventions & Clinical-detection (EPIC) lab, King's College London, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom.
Paolo Fusar-PoliEarly Psychosis: Interventions & Clinical-detection (EPIC) lab, King's College London, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom.
Isabella ChuDepartment of Medicine, Stanford University School of Medicine, Stanford, USA.
Marcia L StefanickDepartment of Medicine, Stanford University School of Medicine, Stanford, USA.
John P A IoannidisDepartment of Medicine, Stanford University School of Medicine, Stanford, USA.

Funding

Trial of strategies to communicate genetic information to different ethnic and racial subpopulationsU54MD010724 · NIMHD · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD · 2016 to 2021
$16.3M
Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Extended Treatment for Smoking CessationR01DA017441 · NIDA · STANFORD UNIVERSITY · PI DAVID, SEAN P. · 2003 to 2013
$5.2M
NIDA NIH HHS T32 DA035165NIMHD NIH HHS U54 MD010724
6 · The paper itself

Abstract

Numerous functional magnetic resonance imaging (fMRI) studies have reported sex differences. To empirically evaluate for evidence of excessive significance bias in this literature, we searched for published fMRI studies of human brain to evaluate sex differences, regardless of the topic investigated, in Medline and Scopus over 10 years. We analyzed the prevalence of conclusions in favor of sex differences and the correlation between study sample sizes and number of significant foci identified. In the absence of bias, larger studies (better powered) should identify a larger number of significant foci. Across 179 papers, median sample size was n = 32 (interquartile range 23-47.5). A median of 5 foci related to sex differences were reported (interquartile range, 2-9.5). Few articles (n = 2) had titles focused on no differences or on similarities (n = 3) between sexes. Overall, 158 papers (88%) reached "positive" conclusions in their abstract and presented some foci related to sex differences. There was no statistically significant relationship between sample size and the number of foci (-0.048% increase for every 10 participants, p = 0.63). The extremely high prevalence of "positive" results and the lack of the expected relationship between sample size and the number of discovered foci reflect probable reporting bias and excess significance bias in this literature.

Indexed as

BiasMagnetic Resonance ImagingNeuroimagingSex CharacteristicsBrainFemaleHumansMaleSample Size

Identifiers

PMID29666377
PMCPMC5904173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.