Evidence map›Paper›PMID 41141101›Full record

ReviewCureus2025

Biomechanical Assessment Tools for Injury Risk Prediction and Return-to-Sport Evaluation in Athletes: A Systematic Review.

Adel A Alahaidib, Hind Y Alyousef, Murad A Sharif, Abdulaziz K Alsulaiman, Thamer S Alharthi, Hatim I Aljohani, Muteb K Almutairi, Nawwaf S Alghamdi, Khaled G Almutairi, Abdullah O Alammari and 1 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Adel A AlahaidibOrthopedic Surgery, Dallah Hospital, Riyadh, SAU.
Hind Y AlyousefCollege of Medicine, Al Jouf University, Al Jouf, SAU.
Murad A SharifCollege of Medicine, Jazan University, Jazan, SAU.
Abdulaziz K AlsulaimanCollege of Medicine, King Abdulaziz University, Jeddah, SAU.
Thamer S AlharthiCollege of Medicine, Bisha University, Bisha, SAU.
Hatim I AljohaniCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Muteb K AlmutairiCollege of Medicine, Shaqra University, Riyadh, SAU.
Nawwaf S AlghamdiCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Khaled G AlmutairiCollege of Medicine, Qassim University, Qassim, SAU.
Abdullah O AlammariCollege of Medicine, King Saud bin Abdulaziz University for Health Sciences, Jeddah, SAU.
Abdulmohsin A AlmehiziaOrthopedic Surgery, King Fahad Medical City, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior cruciate ligament (ACL) injuries, particularly non-contact types, remain a major concern for athletes. Biomechanical screening tools such as 3D motion capture and force plates have advanced risk assessment and return-to-sport evaluation, yet their predictive validity and clinical applicability across diverse athletic populations remain unclear. This systematic review, conducted in accordance with PRISMA 2020 guidelines, searched four databases (PubMed, Cochrane Library, Scopus, Web of Science) up to July 25, 2025, and included original studies assessing athletes with biomechanical tools for injury risk or return-to-sport readiness. Of 4,787 records identified, eight studies met the criteria. Most utilized motion analysis or force plates to evaluate landing kinematics, limb symmetry, and postural control. Key findings showed that reduced quadriceps strength symmetry, psychological unreadiness, and compensatory kinematic deviations were strongly associated with delayed or unsafe return-to-sport. While sagittal-plane metrics demonstrated high reliability, coronal and transverse measures were less consistent, and proprietary force-plate scores, such as Sparta Science metrics, showed limited predictive value unless used within multifactorial frameworks. Overall, biomechanical assessments provide meaningful insights into injury risk and rehabilitation progress, particularly when emphasizing strength symmetry and kinematic consistency, but reliance on single metrics or composite scores without contextual interpretation may restrict clinical utility. Future research should focus on longitudinal designs and standardized protocols to enhance predictive accuracy.

Indexed as

acl injurybiomechanicsforce plateinjury riskkinematicslimb symmetrymotion analysisrehabilitationreturn-to-sportscreening tools

Identifiers

PMID41141101
PMCPMC12553509

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.