Evidence map›Paper›PMID 29599121›Full record

SynthesisBritish journal of sports medicine2019

'What's my risk of sustaining an ACL injury while playing football (soccer)?' A systematic review with meta-analysis.

Alicia M Montalvo, Daniel K Schneider, Paula L Silva, Laura Yut, Kate E Webster, Michael A Riley, Adam W Kiefer, Jennifer L Doherty-Restrepo, Gregory D Myer

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in British journal of sports medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
6.4field-weighted citation impact, top 3% of its field
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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sport-specific differences in ACL injury, treatment and return to sports: Football.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Review
  14. Review
  15. Review
  16. Gender/Sex Entanglement, Structural Sexism, and Injury: The Case of Australian Rules Football.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  17. Review
  18. Review
  19. Article
  20. Review
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

9 authors at 6 institutions in 2 countries.

Alicia M MontalvoDepartment of Athletic Training, Florida International University, Nicole Wertheim College of Nursing and Health Sciences, Miami, Florida, USA.
Daniel K SchneiderDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Paula L SilvaCenter for Cognition, Action, & Perception, Department of Psychology, University of Cincinnati, Cincinnati, Ohio, USA.
Laura YutDepartment of Biostatistics, Robert Stempel School of Public Health and Social Work, Florida International University, Miami, Florida, USA.
Kate E WebsterSchool of Allied Health, College of Science, Health and Engineering, La Trobe University, Melbourne, Australia.
Michael A RileyCenter for Cognition, Action, & Perception, Department of Psychology, University of Cincinnati, Cincinnati, Ohio, USA.
Adam W KieferDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Jennifer L Doherty-RestrepoDepartment of Athletic Training, Florida International University, Nicole Wertheim College of Nursing and Health Sciences, Miami, Florida, USA.
Gregory D MyerDivision of Sports Medicine, Cincinnati Children's Hospital Medical Center, The SPORT Center, Cincinnati, Ohio, USA.
Florida International University · USUniversity of Cincinnati · USCincinnati Children's Hospital Medical Center · USLa Trobe University · AUUniversity of Cincinnati Medical Center · USUniversity of Pennsylvania · US

Funding

Real-Time Sensorimotor Feedback for Injury Prevention Assessed in Virtual RealityU01AR067997 · NIAMS · EMORY UNIVERSITY · PI MYER, GREGORY DONALD · 2016 to 2022
$3.6M
Identification of Patellofemoral Pain Risk Factors Developed During MaturationR21AR065068 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI MYER, GREGORY DONALD · 2015 to 2016
$378k
NIAMS NIH HHS R21 AR065068NIAMS NIH HHS U01 AR067997
6 · The paper itself

Abstract

objectiveTo estimate the incidence proportion (IP) and incidence rate (IR) of ACL injury in football players.

designSystematic review with meta-analysis. DATA SOURCES: PubMed, CINAHL and SPORTDiscus electronic databases were searched from inception to 20 January 2017. ELIGIBILITY CRITERIA FOR SELECTING STUDY: Studies that reported the total number of participants/population by sex, total number of ACL injuries by sex and total person-time by sex were included.

resultsTwenty-eight studies were included. The IP and IR of ACL injury in female football players were 2.0% (95% CI 1.2% to 3.1%) and 2.0/10 000 athlete exposures (AEs) (95% CI 1.6 to 2.6; I SUMMARY/

conclusionOverall, more men sustained ACL injury in football. There was no difference in the relative risk of ACL injury between female and male football players in a window that spanned one season to 4 years. The IR of ACL injury among women was 2.2 times higher than the IR of ACL injury among men. The reported sex disparity in ACL injury was independent of participation level.

Indexed as

Anterior Cruciate Ligament InjuriesAthletic InjuriesFemaleHumansIncidenceMaleRisk FactorsSex FactorsSocceraclepidemiologykneesports

Identifiers

PMID29599121
PMCPMC6642026
OpenAlexW2795070578

What OpenQuestion holds

Textmetadata
LicenceTDM
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.