Evidence mapPaperPMID 38405604Full record

ArticleiScience2024

Risk of bias in exercise science: A systematic review of 340 studies.

Nicholas Preobrazenski, Abby McCaig, Anna Turner, Maddy Kushner, Lauren Pacitti, Peter Mendolia, Ben MacDonald, Kristi Storoschuk, Tori Bouck, Youssef Zaza and 2 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Standard Deviation of Individual Response for VOSports medicine (Auckland, N.Z.) · 2024
    Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Aerobic Exercise Training and VOJournal of functional morphology and kinesiology · 2026
    Review
  9. 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

12 authors.

Nicholas PreobrazenskiFaculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.
Abby McCaigSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Anna TurnerSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Maddy KushnerSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Lauren PacittiSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Peter MendoliaSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Ben MacDonaldSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Kristi StoroschukSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Tori BouckSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Youssef ZazaSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Stephanie LuSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Brendon J GurdSchool of Kinesiology and Health Studies, Queen's University, Kingston, ON K7L 3N6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk of bias can contribute to irreproducible science and mislead decision making. Analyses of smaller subsections of the exercise science literature suggest many exercise science studies have unclear or high risk of bias. The current review (osf.io/jznv8) assesses whether this unclear or high risk of bias is more widespread in the exercise science literature and whether this bias has decreased since the publication of the 1996 Consolidated Standards of Reporting Trials (CONSORT) guidelines. We report significant reductions in selection, performance, detection, and reporting biases in 2020 compared with 1995 in the 340 of 5,451 studies assessed using the Cochrane Risk of Bias tool. Despite these improvements, most 2020 studies still had unclear or high risks of bias. These results underscore the need for methodological vigilance, adherence to reporting standards, and education on experimental bias. Factors contributing to these improvements, such advancements in education and journal requirements, remain uncertain.

Indexed as

Health sciencesHuman physiologyMedicine

Identifiers

PMID38405604
PMCPMC10884506

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.