Evidence map›Paper›PMID 41807731›Full record

Trial reportScientific reports2026

24-week multidimensional predictors of return to play post-ACLR in high-sports demanders: a randomized trial.

Feng Hao, Niu Yuhong, Yang Xuyuan, Cui Mu, Li Qiangze

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2026. 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
–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

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

5 authors.

Feng HaoDepartment of Rehabilitation Medicine, School of Nursing and Rehabilitation, Xi'an Medical University, Xi'an, Shaanxi, China. fenghaoc@xiyi.edu.cn.
Niu YuhongDepartment of Rehabilitation Medicine, School of Nursing and Rehabilitation, Xi'an Medical University, Xi'an, Shaanxi, China.
Yang XuyuanDepartment of Rehabilitation Medicine, School of Nursing and Rehabilitation, Xi'an Medical University, Xi'an, Shaanxi, China.
Cui MuDepartment of Rehabilitation Medicine, School of Nursing and Rehabilitation, Xi'an Medical University, Xi'an, Shaanxi, China.
Li QiangzeDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Xi'an Medical University, Xi'an, Shaanxi, China.

Funding

Xi'an Medical University Research Fund 2024QN16
6 · The paper itself

Abstract

Predicting successful return to play (RTP) during mid-stage rehabilitation after anterior cruciate ligament reconstruction (ACLR) remains a critical, unresolved clinical challenge. High-sports demanders (HSDs)-non-professional athletes participating in level-1 sports (cutting, pivoting, jumping) ≥ 3 times/week with Tegner score > 5-represent a distinct subgroup who face unique rehabilitation challenges yet lack evidence-based mid-stage prediction tools. The primary objective of this study was to identify multidimensional predictors at 24 weeks post-ACLR for successful RTP at 48 weeks, and to construct a clinical scoring tool to guide individualized intervention decisions during mid-stage rehabilitation. This single-blind randomized controlled trial was conducted at the First Affiliated Hospital of Xi'an Medical University, Xi'an, China (April 2024-May 2025). Sixty-four HSDs post-primary ACLR were randomized to a functional rehabilitation model (FRM; n = 32) or traditional rehabilitation model (TRM; n = 32). At 24 weeks, isokinetic strength, hop tests, mSEBT, proprioception, and patient-reported outcomes (IKDC, Lysholm, ACL-RSI) were assessed. Forward stepwise logistic regression with bootstrap internal validation (1,000 iterations) identified independent predictors of 48-week RTP success. Among 57 completers (89.1% follow-up), the overall RTP rate was 75.4%. FRM significantly outperformed TRM (89.3% vs. 62.1%; P = 0.038; NNT = 3.7). Six independent predictors were identified: FRM vs. TRM (OR = 3.49), 60°/s extensor LSI ≥ 77.8% (OR = 2.13), single-leg hop ≥ 68.5 cm (OR = 1.87), ACL-RSI ≥ 67.5 (OR = 1.69), mSEBT anterior ≥ 63.2 cm (OR = 1.39), and 45° proprioceptive error ≤ 6.1° (OR = 0.62). Apparent AUC = 0.87 (95% CI: 0.79-0.95); bootstrap-corrected AUC = 0.81 (95% CI: 0.72-0.90). This exploratory six-factor model demonstrates promising discriminative ability (apparent AUC = 0.87; bootstrap-corrected AUC = 0.81) for mid-rehabilitation RTP prediction in HSDs. The identified predictive associations, rather than established causal relationships, may facilitate early risk identification and individualized intervention planning. External validation in independent, multicenter cohorts is required before clinical implementation.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionReturn to SportAdolescentAdultAthletesFemaleHumansMaleRecovery of FunctionSingle-Blind MethodYoung AdultAnterior cruciate ligament reconstructionHigh sports demandersMultidimensional assessmentPredictorsRehabilitation modelReturn to play

Identifiers

PMID41807731
PMCPMC13099975

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.