Evidence map›Paper›PMID 42662491›Full record

SynthesisFrontiers in public health2026

Acute:chronic workload ratio and load management for team sports: a multilevel meta-analysis.

Liangbi Ding, Anthony Weldon, Jiaqing Xu, Shane Malone, Jaime Sampaio, Zhiyong Zhang, Zhihui Zhou, Xiaoyi Liu, Shilong Han, Kai Xu and 2 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

12 authors.

Liangbi DingSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Anthony WeldonCentre for Life and Sport Sciences, Birmingham City University, Birmingham, United Kingdom.
Jiaqing XuDepartment of Respiratory Science, University of Leicester, Leicester, United Kingdom.
Shane MaloneGaelic Sports Research Centre, School of Biological Health and Sport Science, Technological University Dublin-Tallaght Campus, Dublin, Ireland.
Jaime SampaioResearch Center in Sports Science, Health Sciences and Human Development, CIDESD, Elite Research Community, Vila Real, Portugal.
Zhiyong ZhangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Zhihui ZhouSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Xiaoyi LiuSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Shilong HanSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Kai XuSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Yuanxing WangSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.
Peng YuanSchool of Athletic Performance, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The acute:chronic workload ratio (ACWR) has been widely used to monitor training load and injury risk in team-sport athletes. However, its practical utility remains debated because of methodological heterogeneity across load metrics, calculation methods, time-window definitions, sport types, and injury definitions. This systematic review and multilevel meta-analysis aimed to quantify the association between ACWR and injury risk in team-sport athletes and to examine potential moderators. Methods: Four electronic databases were searched from inception through October 2024. Prospective cohort studies or trials were eligible if they included team-sport athletes, reported associations between ACWR and injury outcomes, and provided sufficient data for effect size extraction or conversion. Study characteristics, participant information, injury definition, load metric, ACWR calculation method, time window, sport type, and effect estimates were extracted. Effect sizes were converted to Hedges' g and pooled using a three-level random-effects model. Results: 41 studies met the inclusion criteria, and 16 studies involving 797 athletes were included in the meta-analysis. Elevated ACWR showed a small-to-moderate association with higher injury risk (g = 0.35; 95% CI, 0.16-0.54), with substantial heterogeneity (I Conclusion: Elevated ACWR may be associated with increased injury risk in specific contexts, but current evidence does not support its use as a stand-alone causal or predictive model. ACWR should be interpreted as a contextual monitoring indicator within individualized, multi-marker load-management systems. Systematic review registration: The systematic review was registered in PROSPERO under the unique identifier CRD420245127618.

Indexed as

AthletesAthletic InjuriesSportsTeam SportsWorkloadHumansacute:chronic workload ratioinjury preventioninjury riskload monitoringteam sports

Identifiers

PMID42662491
PMCPMC13520966

What OpenQuestion holds

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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.