Evidence map›Paper›PMID 40656988›Full record

ArticleBiology of sport2025

Non-contact injury incidence in professional women's football depends on the starting status of the player.

Victor Moreno-Perez, Berta Carles Bové, Javier Courel-Ibáñez, Juan Del Coso, Marco Beato, Eva Ferrer Vidal-Barraquer, Gil Rodas Font

Abstract read
In one paragraph

Article in Biology of sport, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Victor Moreno-PerezSports Research Center, Miguel Hernandez University of Elche, Alicante, Spain.
Berta Carles BovéSport Performance Department, FC Barcelona Sports, Barcelona, Spain.
Javier Courel-IbáñezDepartment of Physical Education and Sports, Faculty of Sport Sciences, Granada, Spain.
Juan Del CosoSport Sciences Research Centre, Rey Juan Carlos University, Fuenlabrada, Spain.
Marco BeatoSchool of Allied Health Sciences, University of Suffolk, Ipswich, United Kingdom.
Eva Ferrer Vidal-BarraquerMedical Department of Futbol Club Barcelona, FIFA Center of Excellence, and Barça Innovation Hub Barcelona, Spain.
Gil Rodas FontMedical Department of Futbol Club Barcelona, FIFA Center of Excellence, and Barça Innovation Hub Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to determine differences in the incidence of non-contact injury in professional women football players with different starting statuses. Data from 37 women (age: 28.5 ± 3.9 years; body mass: 62.3 ± 5.2 kg; height: 169.8 ± 4.7 cm) from a professional football team (Professional Women's Football League from Spain) were prospectively collected during two consecutive seasons. Players were classified according to their match starting status as starters (players with > 70% of matches in the starting lineup; n = 20) and non-starters (n = 17). External load parameters were collected using GPS in all training sessions and matches. Non-contact injuries were diagnosed, classified, and recorded by the medical staff following the IOC consensus. Statistics included comparisons of starters vs. non-starters and linear regression and diagnostic analyses of injured vs. non-injured players. Non-starters accumulated less match load over the season but had two-fold non-contact injury incidence and three-fold muscular injury incidence during matches than starters, despite being exposed to a similar training load. The larger the number of matches played as a starter, the fewer injuries (non-contact: R

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Identifiers

PMID40656988
PMCPMC12244399

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.