Evidence map›Paper›PMID 42105051›Full record

ReviewSports medicine (Auckland, N.Z.)2026

Towards High-Accuracy Athletic Injury Predictions Using a First-Principles Modelling Approach: Theory to (Future) Practice.

Judd T Kalkhoven, Franco M Impellizzeri, Dean L Norris, W Brent Edwards

Abstract readReview
In one paragraph

Review 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Judd T KalkhovenSchool of Health Sciences, Western Sydney University, Campbelltown Campus, Narellan Rd & Gilchrist Dr, Campbelltown, NSW, 2560, Australia. J.Kalkhoven@westernsydney.edu.au.ORCID http://orcid.org/0000-0002-1720-6879
Franco M ImpellizzeriHuman Performance Research Centre, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.
Dean L NorrisSchool of Health Sciences, Western Sydney University, Campbelltown Campus, Narellan Rd & Gilchrist Dr, Campbelltown, NSW, 2560, Australia.
W Brent EdwardsHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athletic injury has previously been defined as tissue damage or other derangement of normal physical function due to participation in sports, resulting from rapid or repetitive transfer of kinetic energy. Alternatively, athletic injury has also been described as occurring when the stresses and strains experienced by a tissue result in damage severe enough to be considered an athletic injury. In mechanical models quantifying damage and the accumulation of damage over time, damage is commonly represented using a damage variable (D) ranging between 0 and 1, where D = 0 corresponds to an undamaged state and D = 1 corresponds to complete mechanical failure. Adopting this approach, a mathematically deterministic definition for athletic injury can be established, allowing precise predictions of athletic injury occurrence in mathematical models. Specifically, an athletic injury can be mathematically defined as occurring when the damage (D) experienced by a tissue exceeds a critical damage threshold (D

Indexed as

Athletic InjuriesModels, BiologicalModels, TheoreticalBiomechanical PhenomenaHumansStress, Mechanical

Identifiers

PMID42105051
PMCPMC13457334

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.