Evidence map›Paper›PMID 35526371›Full record

ArticleBrazilian journal of physical therapy

Maximising individualisation of sports injury risk reduction approach to reach success.

Pascal Edouard, Benjamin Caumeil, Evert Verhagen, Gaël Guilhem, Alexis Ruffault

Registry-linked trialAbstract readEditorial
In one paragraph

Article in Brazilian journal of physical therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06619132 (Training Load Adapted to Muscle Properties to Reduce Injury Occurrence in Sprint), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT06619132 completednot on this map

Training Load Adapted to Muscle Properties to Reduce Injury Occurrence in Sprint

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2022 to 2024Enrolled160ConditionsNON APPLICABLE
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Developing injury prevention programmes for ladies Gaelic football: a Delphi study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Hamstring Muscle Injuries and Hamstring Specific Training in Elite Athletics (Track and Field) Athletes.International journal of environmental research and public health · 2022
    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

5 authors.

Pascal EdouardUniv Lyon, UJM-Saint-Etienne, Inter-university Laboratory of Human Movement Biology, EA 7424, F-42023, Saint-Etienne, France; Department of Clinical and Exercise Physiology, Sports Medicine Unit, Faculty of Medicine, University Hospital of Saint-Etienne, Saint-Etienne 42055, France; European Athletics Medical & Anti Doping Commission, European Athletics Association (EAA), Lausanne, Switzerland. Electronic address: Pascal.Edouard@univ-st-etienne.fr.
Benjamin CaumeilLaboratory Sport, Expertise and Performance (EA 7370), French Institute of Sport (INSEP), Paris, France.
Evert VerhagenAmsterdam Collaboration on Health & Safety in Sports (ACHSS), Department of Public and Occupational Health, Amsterdam UMC, VU University, Amsterdam Movement Sciences, Amsterdam, the Netherland.
Gaël GuilhemLaboratory Sport, Expertise and Performance (EA 7370), French Institute of Sport (INSEP), Paris, France.
Alexis RuffaultLaboratory Sport, Expertise and Performance (EA 7370), French Institute of Sport (INSEP), Paris, France; Unité de Recherche interfacultaire Santé et Société (URiSS), Université de Liège, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Athletic InjuriesAthletesHumansRisk FactorsRisk Reduction Behavior

Identifiers

PMID35526371
PMCPMC9092190

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.