Evidence map›Paper›PMID 41193684›Full record

ArticleScientific reports2025

Development and validation of a risk prediction model for re-tear after arthroscopic rotator cuff repair.

Yiwen Hu, Shaojian Chen, Heng Zhang, Changzhao Huang, Zixi Hu

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 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. [Development of a nomogram prediction model for re-tear after arthroscopic repair of massive rotator cuff tears].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
    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

5 authors.

Yiwen Hu *Department of Joint Surgery and Sports Medicine, The First Affiliated Hospital of Guilin Medical University, Guilin, China.
Shaojian Chen *Department of Sports Medical, Ganzhou People's Hospital & The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, China.
Heng ZhangOrthopedics Department, The First Affiliated Hospital of Guilin Medical University, Guilin, China.
Changzhao HuangOrthopedics Department, The First Affiliated Hospital of Guilin Medical University, Guilin, China.
Zixi HuClinical Laboratory Center, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China. huzixi0679@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Re-tear remains a frequent complication after arthroscopic rotator cuff repair (ARCR), adversely affecting functional recovery. This study aimed to develop and validate a clinical prediction model for re-tear risk following ARCR. This retrospective study included 570 patients undergoing ARCR from 2018 to 2023, randomly assigned to training (n = 399) and validation (n = 171) cohorts. Demographic, imaging, and intraoperative variables were analyzed. Independent predictors from multivariable logistic regression were used to construct a nomogram. Model performance was assessed by discrimination, calibration, and decision curve analysis (DCA). Six independent predictors were identified: age, maximal tear diameter, Patte grade III tendon retraction, high-grade fatty infiltration (Goutallier ≥ 3), positive tangent sign, and intraoperative repair tension. The nomogram showed good discrimination (AUC = 0.76 training; 0.74 validation) and calibration (Hosmer-Lemeshow P = 0.735 and 0.721, respectively). DCA demonstrated clinical utility across wide threshold probabilities, outperforming "treat-all" and "treat-none" strategies. This nomogram, integrating preoperative imaging and intraoperative findings, provides individualized re-tear risk estimates after ARCR, offering a practical tool for surgical planning and patient counseling.

Indexed as

ArthroscopyRotator CuffRotator Cuff InjuriesAgedFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesRisk AssessmentRisk FactorsArthroscopic rotator cuff repairNomogramRe-tearRisk predictionRotator cuff tearShoulder surgery

Identifiers

PMID41193684
PMCPMC12589518

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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.