Evidence map›Paper›PMID 40248025›Full record

ArticleFrontiers in pediatrics2025

A clinical study on the application of three-dimensionally printed splints combined with finite element analysis in paediatric distal radius fractures.

Cheng Xu, Lefeng Wang, Meng Zhang, Xiao Li, Kuang Li

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Cheng Xu *Limb Reconstruction and Pediatric Orthopedics Department, Shandong First Medical University, Tai'an, China.
Lefeng Wang *Limb Reconstruction and Pediatric Orthopedics Department, Shandong First Medical University, Tai'an, China.
Meng ZhangLimb Reconstruction and Pediatric Orthopedics Department, Shandong First Medical University, Tai'an, China.
Xiao LiLimb Reconstruction and Pediatric Orthopedics Department, Shandong First Medical University, Tai'an, China.
Kuang LiLimb Reconstruction and Pediatric Orthopedics Department, Shandong First Medical University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This single-centre randomised clinical trial assessed the clinical efficacy and patient satisfaction of 3D-printed splints optimised via finite element analysis (FEA) for pediatric distal radius fractures. Methods: This retrospective study included 56 children diagnosed with forearm fractures at our hospital between August 2023 and August 2024. Those who underwent traditional U-shaped forearm plaster immobilisation were compared with those who received a customised 3D-printed splint. FEA was conducted based on the biomechanical characteristics of the forearm; the splint structure was optimised based on the analysis results and created via 3D printing. Outcomes were evaluated using the Patient Satisfaction Questionnaire and Wong-Baker Faces Pain Scale-Revised. Forearm function was evaluated using the Mayo Wrist Score and radiological outcomes. A power calculation was not performed due to the exploratory scope and resource limitations of this preliminary study. Results: The treatment costs significantly differed between the two groups ( Conclusion: Both 3D-printed splint and plaster cast fixation methods can effectively treat distal radial fractures in children, but the 3D-printed splint showed superior patient acceptance.

Indexed as

3D printingbiomechanicsfinite element analysisforearm fracturespaediatric orthopaedicspersonalised medicine

Identifiers

PMID40248025
PMCPMC12003414

What OpenQuestion holds

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Registered trials

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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.