Evidence map›Paper›PMID 42050541›Full record

ArticleBMC surgery2026

Preoperative distal radius CT hounsfield unit and other imaging predictors of postoperative radiocarpal traumatic arthritis after distal radius fracture.

YingLun Zhao, Qi Gui, Bo Li, Zulipikaer Maimaiti, SiJie Wu, ZhenGang Lv, BoYuan Fan, JiangTao Shen, Liang Liu

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Article in BMC surgery, 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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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

9 authors.

YingLun ZhaoDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
Qi GuiDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
Bo LiDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
Zulipikaer MaimaitiDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
SiJie WuDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
ZhenGang LvDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
BoYuan FanDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
JiangTao ShenDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China.
Liang LiuDepartment of Bone center, Beijing Luhe Hospital affiliated to Capital Medical University, No.82, Xinhuanan Road, Tongzhou District, Beijing, 101100, China. liuliang@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePostoperative radiocarpal traumatic arthritis (TA) after distal radius fracture (DRF) may cause persistent pain and functional impairment. Early risk stratification may help identify patients at increased risk. This study aims to identify independent predictors of radiocarpal TA after DRF and develop multifactorial predictive models.

methodsWe retrospectively analyzed 226 DRF patients grouped by radiocarpal TA status. Variables were screened using univariate and correlation analyses. Logistic regression (LR) and support vector machine (SVM) models were developed using a 70/30 stratified train–test split (seed = 42); 10-fold stratified cross-validation was performed within the training set, and final performance was evaluated on the test set.

resultsIndependent predictors included preoperative step-off > 2 mm (OR = 6.12, 95% CI: 1.79–20.94), radial shortening > 3 mm (OR = 8.02, 95% CI: 2.55–25.21), low distal radius CT Hounsfield Unit (OR = 0.99, 95% CI: 0.99–1.00). The LR model achieved an AUC of 90.71%, and the SVM model an AUC of 91.34%.

conclusionBoth LR and SVM models showed promising internal performance for predicting radiocarpal TA after DRF. These findings may support preoperative risk stratification, but external validation is required before clinical application.

Indexed as

ArthritisPostoperative ComplicationsRadius FracturesTomography, X-Ray ComputedWrist FracturesAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsRadiusRetrospective StudiesSupport Vector MachineDistal radius fractureLogistic regressionRisk factorsSupport vector machineTraumatic arthritis

Identifiers

PMID42050541
PMCPMC13262213

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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.