Evidence map›Paper›PMID 41174702›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Evaluation of injury rates in soccer players before, during, and after the COVID-19 pandemic.

Giulia My, Giacomo Farì, Antonella Muscella, Santo Marsigliante

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2025. 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

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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.

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4 · The record

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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.

Giulia MyDepartment of Biological and Environmental Science and Technologies (DiSTeBA), University of Salento, Lecce, 73100, Italy.
Giacomo FarìDepartment of Biological and Environmental Science and Technologies (DiSTeBA), University of Salento, Lecce, 73100, Italy.
Antonella MuscellaDepartment of Biological and Environmental Science and Technologies (DiSTeBA), University of Salento, Lecce, 73100, Italy. antonella.muscella@unisalento.it.
Santo MarsiglianteDepartment of Biological and Environmental Science and Technologies (DiSTeBA), University of Salento, Lecce, 73100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate injury rates among Serie A soccer players across three seasons, highlighting the impact of the COVID-19 pandemic.

methodsFifty-four professional soccer players in the Italian Serie were assessed over the course of three seasons, including the 2019/2020 season, which was affected by the pandemic. Injuries were categorized into muscular, skeletal, and articular, and were analyzed according to player roles (defenders, midfielders, and forwards). They were also stratified by the period of the competitive season: (1) preseason, (2) first half of the season, (3) second half of the season, and (4) end of the season.

resultsThe results indicate a sharp increase in injuries during the post-COVID-19 season (2020/2021), with increases in articular injuries (65%), skeletal injuries (120%), and muscular injuries (65%), compared to the previous seasons. Among player roles, defenders were the most affected by injuries, with a notable increase in the second half of the post-COVID season (36% more injuries compared to the pre-COVID season). The injury rate among midfielders increased by 46% in the post-COVID season compared to the pre-COVID season, with the highest number of injuries occurring at the end of the season.

conclusionsThis increased injury rate in defenders and midfielders, who often position themselves in the defensive zone, could be due to muscle mass loss. Further studies are needed to explore this aspect of injury epidemiology in soccer. Ultimately, careful, and gradual training is crucial for preventing injuries and maintaining the quality of soccer players' performances.

Indexed as

COVID-19Italian Serie AMuscular injuriesSkeletal injuriesSoccer players

Identifiers

PMID41174702
PMCPMC12577211

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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.