Evidence map›Paper›PMID 38883395›Full record

ArticleAmerican journal of translational research2024

Risk factors influencing postoperative outcome of arthroscopic rotator cuff repair and construction of a nomogram prediction model.

Xiaonan Gong, Kuankuan He, Ruixiang Bian, Bo Yuan

Abstract read
In one paragraph

Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Xiaonan GongDepartment of Joint Surgery, Dongying People's Hospital Dongying 257000, Shandong, China.
Kuankuan HeDepartment of Hand and Foot Surgery, Dongying People's Hospital Dongying 257000, Shandong, China.
Ruixiang BianDepartment of Joint Surgery, Dongying People's Hospital Dongying 257000, Shandong, China.
Bo YuanDepartment of Hand and Foot Surgery, Dongying People's Hospital Dongying 257000, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the risk factors influencing the postoperative outcome of arthroscopic rotator cuff repair (ARCR) and develop a nomogram prediction model.

methodsA retrospective study was conducted on 302 patients who underwent ARCR from January 2019 to August 2023. Patients were categorized into two groups: a control group with 150 patients showing good recovery and an observation group with 152 patients exhibiting poor recovery. Relevant clinical data were collected and statistically analyzed. A nomogram model was constructed based on the results of multivariate logistic regression analysis. The model's accuracy, discrimination, and clinical utility were evaluated using calibration charts, AUC, c-index, and decision curve analysis. Internal validation was performed through self-random sampling.

resultsUnivariate and multivariate regression analysis identified having a frozen shoulder, large rotator cuff tear, increased intraoperative rivet use, diabetes, and traumatic tear as predictive risk factors for poor postoperative outcomes. These factors were utilized to develop a clinical predictive nomogram. The nomogram model demonstrated excellent predictive accuracy for poor postoperative outcomes, both internally and externally. The unadjusted concordance index (C-index) was 0.793 [95% confidence interval (CI), 0.825-0.995]. The AUC for the nomogram was 0.788. Decision curve analysis revealed that the predictive model was clinically useful when the threshold probability ranged from 20 to 60%.

conclusionThe presence of a frozen shoulder, large rotator cuff tear, increased intraoperative rivet use, diabetes, and traumatic tear elevate the risk of suboptimal outcomes following ARCR. Conversely, having a higher preoperative University of California at Los Angeles Shoulder Rating Scale score mitigates this risk. This study introduces a novel nomogram model, exhibiting relatively high accuracy, which enables clinicians to precisely assess the postoperative adverse risk among patients with rotator cuff injuries requiring arthroscopic repair at the outset of treatment.

Indexed as

arthroscopic rotator cuff repairnomogramPostoperative outcomerisk factors

Identifiers

PMID38883395
PMCPMC11170592

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.