Evidence map›Paper›PMID 39398575›Full record

ArticleAmerican journal of translational research2024

Logistic regression analysis of risk factors influencing postoperative keloid scar recurrence.

Xiaotao Hu, Teng Qiu

Abstract read
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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 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xiaotao HuDepartment of Plastic Surgery, The First Affiliated Hospital of Wannan Medical College No. 2, Ocheshan West Road, Yijishan Street, Jinghu District, Wuhu 241001, Anhui, China.
Teng QiuDepartment of Plastic Surgery, The First Affiliated Hospital of Wannan Medical College No. 2, Ocheshan West Road, Yijishan Street, Jinghu District, Wuhu 241001, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify risk factors of postoperative keloid scar recurrence in patients using logistic regression analysis.

methodsA retrospective analysis was conducted with the use of clinical data collected from 132 keloid scars patients undergoing keloidectomy under local anaesthesia between January 2020 and June 2023 at The First Affiliated Hospital of the WANNAN Medical College. The recurrence of keloid scars in the included patients was analyzed, and their clinical data were subjected to univariate analysis. Factors showing significant differences were included in the multivariate logistic regression analysis. A receiver operating characteristics (ROC) curve was generated based on the independent risk factors to explore the predictive performance of joint-factor prediction for postoperative recurrence of keloid scars, and a corresponding Nomogram was generated.

resultsOut of the 132 patients, 38 experienced keloid scar recurrence, accounting for 28.79% of the total cases. Logistic regression analysis identified infection, family history of keloid scars, relatively large scar size and the absence of radiotherapy and local hormone therapy as independent risk factors influencing postoperative recurrence of keloid scars. The prediction for postoperative recurrence of keloid scars based on the joint independent risk factors yielded an area under the ROC curve of 0.889, with a sensitivity, a specificity, and an accuracy of 78.72%, 86.84%, and 81.06%, respectively.

conclusionInfection, family history of keloid scars, relatively large scar size, and the absence of radiotherapy and local hormone treatment have been identified as independent risk factors for postoperative recurrence of keloid scars in patients.

Indexed as

keloid scarLogistics regression analysispredictive efficacyrecurrencerisk factors

Identifiers

PMID39398575
PMCPMC11470296

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