Evidence map›Paper›PMID 41541028›Full record

ArticleIndian journal of orthopaedics2026

Retrospective Analysis of 3D Printing-Assisted Surgical Outcomes in Chronic Coronal Shear Fractures of the Humeral Trochlea and Capitellum.

Yuanling Xiang, Yaqin Li, Lianxin Li, Huseyin Can Yucel, Dicle Yasar Aksöyler, Jinlei Dong

Abstract read
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Article in Indian journal of orthopaedics, 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

What it found

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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

6 authors.

Yuanling Xiang *Department of Orthopedics, Zhangqiu People's Hospital, Zhangqiu, 250200 China.
Yaqin Li *Department of Plastic and Reconstructive Surgery, Shanghai Jiaotong University School of Medicine Affiliated 9Th People's Hospital, Shanghai, 200011 China.
Lianxin LiDepartment of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250000 China.
Huseyin Can YucelDepartment of Plastic, Reconstructive and Aesthetic Surgery, Kırklareli Training and Research Hospital, Kırklareli, 39010 Turkey.
Dicle Yasar AksöylerDepartment of Plastic, Reconstructive and Aesthetic Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, 34093 Turkey.
Jinlei DongDepartment of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250000 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Chronic capitellum-trochlea coronal shear fractures (defined as untreated injuries > 3 weeks) are complex intraarticular fractures of the distal humerus, primarily caused by missed diagnoses of low-energy trauma and typically requiring open reduction and internal fixation (ORIF). These articular fractures are associated with high complication rates, including nonunion and post-traumatic osteoarthritis. This retrospective analysis of ten patients evaluated the clinical efficacy of 3D printing-assisted ORIF in improving surgical precision and functional outcomes (assessed by Mayo Elbow Performance Score, MEPS) for chronic coronal shear fractures involving the humeral trochlea and capitellum. Methods: This retrospective study included ten patients with chronic coronal shear fractures treated with open reduction and internal fixation between September 2017 and September 2022. 3D-printed anatomical models were generated from CT scans using Medraw software to design patient-specific surgical strategies. Postoperative outcomes were assessed using the Mayo Elbow Performance Score (MEPS) by a blinded evaluator. Results: Patients ranged in age from 13 to 67 years (40.8 ± 17.2 years). All patients with closed fractures underwent surgery 5-16 weeks after injury (9.3 ± 3.6 weeks). No early postoperative complications, such as wound healing issues, were observed. Follow-up periods ranged from 8 to 12 months (9.7 ± 1.9 months), and bony union times averaged 12.9 ± 4.1 weeks (range, 8-19 weeks). No long-term complications, including instability or fixation loosening, were reported. The mean MEPS was 92.5 ± 8.2, with excellent results in seven cases and good results in three cases. Conclusions: 3D printing may aid in developing precise, patient-specific surgical plans, potentially improving articular reduction accuracy and minimizing intraoperative challenges in treating chronic coronal shear fractures of the humeral trochlea and capitellum.

Indexed as

3D-printed modelsChronic coronal shear fractures of the humeral trochlea and capitellumDelayed fracturesOpen reduction with internal fixation (ORIF)

Identifiers

PMID41541028
PMCPMC12799806

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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.