Evidence map›Paper›PMID 42109478›Full record

ArticleFrontiers in pediatrics2026

Development and external validation of a decision-support model for predicting failed closed reduction in pediatric supracondylar humerus fractures: a multicenter retrospective study.

Rong Guo, Yi Zhou, Xiaoxuan Dai

Abstract read
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Article in Frontiers in pediatrics, 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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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rong GuoDepartment of Orthopedics, Xiangtan Central Hospital (Hunan University Affiliated Hospital), Xiangtan, Hunan, China.
Yi ZhouDepartment of Trauma Surgery, Zhuzhou Central Hospital, Zhuzhou, Hunan, China.
Xiaoxuan DaiDepartment of Orthopedics, Xiangtan Central Hospital (Hunan University Affiliated Hospital), Xiangtan, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Closed reduction and percutaneous pinning (CRPP) is the standard treatment for pediatric supracondylar humerus fractures (SCHF). However, closed reduction can be challenging in a subset of patients and may fail, requiring conversion to open reduction. A practical preoperative tool to predict failed closed reduction remains lacking. Methods: This multicenter retrospective cohort study included pediatric patients with SCHF who underwent intended CRPP at Xiangtan Central Hospital and Zhuzhou Central Hospital between 2020 and 2025. The primary outcome was failed closed reduction, defined as intraoperative conversion to open reduction (including mini-open exposure) after attempted standard closed reduction maneuvers and before definitive K-wire fixation. Candidate predictors were selected using least absolute shrinkage and selection operator (LASSO) regression and incorporated into a multivariable logistic regression model. Model performance was assessed by discrimination, calibration, and decision curve analysis (DCA). External validation was performed using an independent cohort. Results: A total of 179 patients were included (development cohort, Conclusions: We developed and externally validated a practical decision-support model for predicting failed closed reduction (conversion to open reduction) in pediatric SCHF. This tool may facilitate preoperative planning and timely preparation for open reduction when needed, potentially improving operative efficiency and patient safety. However, given the retrospective design and the limited regional cohort, further prospective validation is required before routine clinical implementation.

Indexed as

closed reductionopen reductionpediatricprediction modelsupracondylar humerus fracture

Identifiers

PMID42109478
PMCPMC13153106

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