Evidence map›Paper›PMID 38671052›Full record

ArticleScientific reports2024

Establishment and preliminary evaluation of CT-based classification for distal radius fracture.

Jun Zhang, Xiaoke Yao, Yanan Song, Peng Yin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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 citations in OpenAlex.

  1. Rapid personalized computational modeling of the wrist.Medical engineering & physics · 2026
    Article
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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

4 authors at 4 institutions in 2 countries.

Jun Zhang *Department of Orthopaedics, The Affiliated Hospital of Innermongolia Medical University, Hohhot, 010010, China. zhangjunhaodoctor@163.com.
Xiaoke Yao *Department of Orthopedics, Chengdu First People's Hospital, Chengdu, 610041, Sichuan, China.
Yanan SongNational Engineering Laboratory for Medical Big Data Application Technology, Chinese People's Liberation Army General Hospital, Beijing, 100853, China.
Peng YinDepartment of Orthopaedics, Beijing Chao-Yang Hospital, China Capital Medical University, Beijing, 100020, China. yinpeng3904@sina.com.
Beijing Chao-Yang Hospital · CNChinese People's Liberation Army · CNFirst Affiliated Hospital of Chengdu Medical College · CNInner Mongolia Medical University · CN

Funding

Medical and health science and technology project of Health Commission of Inner Mongolia Autonomous Region (202202203)Medical science and technology project of Sichuan Provincial Health Commission (No. 21PJ138)Science research project of colleges and universities in Inner Mongolia Autonomous Region (NJZZ21034)
6 · The paper itself

Abstract

Establish a new classification system of distal radius fracture based on computed tomographic (CT), and evaluate its reliability and reproducibility preliminarily, and provide a new theoretical reference for clinicians to use the clinical classification system. The imaging data and clinical data of 204 inpatients with distal radius fracture during 6 years from January 1, 2014 to January 1, 2019 in orthopaedic department were analyzed retrospectively and classified based on CT. Three observers evaluated the image data of 48 randomly selected cases based on CT at different time nodes of T1 and T2. Cohen's kappa was used to calculate the consistency. At the last follow-up, patients' Disabilities of the Arm, Shoulder and Hand (DASH), Patient Rated Wrist Evaluation (PRWE), and VAS scores were collected. Among 204 cases, there were 12 cases of type 1, including 6 cases of type 1-D, 4 cases of type 1-V and 2 cases of type 1-R. There were 6 cases of type 2, including 2 cases of type 2-DV, 2 cases of type 2-DR and 2 cases of type 2-VR. There were 186 cases of type 3, including 32 cases of type 3-0, 127 cases of type 3-1 and 27 cases of type 3-2. There was no significant difference in DASH, PRWE and VAS scores among all types (P > 0.05). The results of interobserver reproducibility were kappa = 0.985, ICC = 0.984 in the first evaluation, kappa = 0.986, ICC = 0.986 in the second evaluation. The results of intraobserver reproducibility were O1 = 0.991, O2 = 0.991, O3 = 0.989 respectively. The new classification system of distal radius fracture based on CT has theoretical and practical significance for incision selection, fracture reduction and internal fixation. 123 classification system is clear, comprehensive, easy to understand and remember. Moreover, it has higher interobserver reliability and intraobserver reproducibility than other systems reported at present.

Indexed as

Radius FracturesTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesWrist FracturesBone fractureClassificationWrist fractures

Identifiers

PMID38671052
PMCPMC11053106
OpenAlexW4395694640

What OpenQuestion holds

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LicenceCC BY
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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.