Evidence map›Paper›PMID 42000943›Full record

SynthesisSports medicine (Auckland, N.Z.)2026

Situations Leading to Anterior Cruciate Ligament Injury in Sports: A Systematic Review with Meta-analysis.

Patrick Mai, Steffen Willwacher, Lina Rahlf, Tim Hoenig, Luca Braun, Carlo von Diecken, Kevin Bill, Dominik Fohrmann, Tron Krosshaug, Karsten Hollander and 2 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Patrick Mai *Institute for Advanced Biomechanics and Motion Studies, Offenburg University, Badstr. 24, 77652, Offenburg, Germany.
Steffen Willwacher *Institute for Advanced Biomechanics and Motion Studies, Offenburg University, Badstr. 24, 77652, Offenburg, Germany. steffen.willwacher@hs-offenburg.de.ORCID http://orcid.org/0000-0002-1303-3165
Lina RahlfInstitute of Sports Science, Europa-Universität Flensburg, Flensburg, Germany.
Tim HoenigDepartment of Trauma and Orthopaedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Luca BraunInstitute for Advanced Biomechanics and Motion Studies, Offenburg University, Badstr. 24, 77652, Offenburg, Germany.
Carlo von DieckenInstitute for Advanced Biomechanics and Motion Studies, Offenburg University, Badstr. 24, 77652, Offenburg, Germany.
Kevin BillInsititute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany.
Dominik FohrmannInstitute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany.
Tron KrosshaugDepartment of Sports Medicine, Norwegian School of Sport Sciences, Oslo Sports Trauma and Research Center, Oslo, Norway.
Karsten HollanderInstitute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany.
Thomas GronwaldInstitute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, Hamburg, Germany.
Jan WilkeCenter of Sports Science, University of Bayreuth, Bayreuth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnterior cruciate ligament (ACL) injuries are common in many sports and impose substantial performance and long-term health burdens. A quantitative synthesis of real-world, video-identified game situations can inform sport-specific prevention methods.

objectiveThe aim of the study was to identify game situations and movement patterns leading to ACL injury in different sports.

designSystematic review with meta-analysis. DATA SOURCES: PubMed, Google Scholar, Web of Science, and Scopus were searched for studies analyzing video recordings of ACL injuries sustained by athletes of any sex during training or competition. Random effects meta-analyses of prevalence and moderator analyses (sport as a factor) were performed.

resultsIn total, 39 articles (1551 video-verified ACL injuries) of on-average moderate quality (Quality Appraisal for Sports Injury Video Analysis Studies [QA-SIVAS]) scale mean 66%) were included. Noncontact (n = 745), indirect contact (n = 533), and direct contact (n = 273) mechanisms were reported, with notable sport-specific differences. Across all injuries, the most frequent contexts were ball action (45.7%), pressing/tackling (40.9%), and cutting (36.6%). Within noncontact cases, cutting (53.8%), pressing/tackling (50.2%), decelerating (38.9%), and landing (30.1%) were the most prevalent actions, whereas being tackled was most frequent in indirect contact cases (56.1%). For direct contact injuries, pooled action-specific estimates were available for being tackled (23.9%) and pressing/tackling (24.2%). Injuries typically occurred at high horizontal speed (53.8%; noncontact 70.7%), were more frequent during ball possession (67.5%) and offensive play (55.4%), and happened more early in time within the first 25% of the game in football (37.5%) and netball (37.8%).

conclusionsThe identified patterns support the use of mechanism-specific, sport-tailored prevention strategies (e.g., technique/strength, neurocognitive functioning for noncontact, perturbation-based drills for indirect contact, and rules/choice of equipment for knee-directed contact). Methodological improvements, such as harmonized and more detailed injury reporting, are needed to refine risk estimates.

Indexed as

Anterior Cruciate Ligament InjuriesAthletic InjuriesHumansVideo Recording

Identifiers

PMID42000943
PMCPMC13499757

What OpenQuestion holds

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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.