Evidence map›Paper›PMID 41091317›Full record

SynthesisSports medicine (Auckland, N.Z.)2025

Injury Incidence Rate According to Mechanism, Body Location, and Type in Basketball Players: A Systematic Review and Meta-Analysis.

Emilija Stojanović, Aaron T Scanlan, Dragan Radovanović, Vladimir Jakovljević, Vladimir Živković, Oliver Faude, Jordan Fox, Katharina Raasch, Alexander Ferrauti

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sports medicine (Auckland, N.Z.), 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

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. Article
  2. 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

9 authors.

Emilija StojanovićDepartment of Physiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia. stojanovic.emilija@yahoo.com.ORCID 0000-0001-7481-0629
Aaron T ScanlanSchool of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia.ORCID 0000-0002-0750-8697
Dragan RadovanovićFaculty of Sport and Physical Education, University of Niš, Niš, Serbia.ORCID 0000-0002-1690-2127
Vladimir JakovljevićDepartment of Physiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0002-0071-8376
Vladimir ŽivkovićDepartment of Physiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.ORCID 0000-0001-9354-9876
Oliver FaudeDepartment of Sport, Exercise and Health, University of Basel, Basel, Switzerland.ORCID 0000-0002-2832-7780
Jordan FoxAllied Health and Human Performance, University of South Australia, Adelaide, SA, Australia.ORCID 0000-0001-8367-5297
Katharina RaaschDepartment of Training and Exercise Science, Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany.
Alexander FerrautiDepartment of Training and Exercise Science, Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany.ORCID 0000-0001-9807-2755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the strong research attention dedicated to reporting the injury incidence rate (IR) in many samples of basketball players, a dedicated review regarding the epidemiology of the injuries encountered in the sport is needed.

objectiveWe aimed to meta-analyze the literature to quantify the IR of injuries according to mechanism, body location, and type while considering player sex, playing level, and exposure settings in basketball players.

methodsPubMed, MEDLINE, and Google Scholar were searched from inception to October 2024. Studies reporting the injury IR in basketball players calculated using the number of athletes exposures (AEs) and/or exposure hours were eligible for inclusion.

resultsFollowing screening, 22 studies (15 reporting mechanism data, 21 reporting body location data, and 17 reporting type data) were included in the systematic review and meta-analysis. Player contact (42.9%) and non-contact (25.0%) were the most common injury mechanisms, with IRs of 0.156 and 0.093 per 100 AEs. Ankle injuries (25.8%, IR = 0.075 per 100 AEs) and knee injuries (15.5%, IR = 0.046 per 100 AEs) accounted for 41.3% of reported injuries. The most common injury types were ligament sprains (IR = 0.102 per 100 AEs) followed by muscle/tendon strains (IR = 0.037 per 100 AEs) and concussions (IR = 0.028 per 100 AEs). A concerning finding was the proportion of head and facial injuries (16.3%), particularly among female players. Female players displayed significantly higher IR of ball contact injuries, knee injuries, dislocations/subluxations, and concussions compared with male players. Injury IR was consistently higher in games than practice settings, as well as in collegiate compared with high-school players.

conclusionsThis study provides comprehensive and contemporary analyses of one of the most investigated areas in the basketball literature, injury IR. The provided results may inform the development of preventive measures to mitigate injury risk considering the notable factors identified.

Indexed as

Athletic InjuriesBasketballFemaleHumansIncidenceMale

Identifiers

PMID41091317

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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.