Evidence map›Paper›PMID 40741138›Full record

ArticleJournal of orthopaedic translation2025

Epidemiological profiles and intervention strategies of limb deformities in China: A nationwide study based on the largest orthopedic database in China.

Baofeng Guo, Sihe Qin, Junming Zhang, Yilan Wang, Lei Shi

Abstract read
In one paragraph

Article in Journal of orthopaedic translation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. From scientific discovery to orthopaedic clinical innovation.Journal of orthopaedic translation · 2025
    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.

Baofeng GuoDepartment of Orthopaedic Surgery, Beijing Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing, 100022, China.
Sihe QinDepartment of Orthopaedic Surgery, Rehabilitation Hospital of the National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.
Junming ZhangDepartment of Orthopaedic Surgery, Rehabilitation Hospital of the National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.
Yilan WangDepartment of Orthopaedic Surgery, Rehabilitation Hospital of the National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.
Lei ShiDepartment of Orthopaedic Surgery, Rehabilitation Hospital of the National Research Center for Rehabilitation Technical Aids, Beijing, 100176, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Limb deformities are almost associated with varying degrees of disability, which severely affects the quality of life and social participation. However, the epidemiological profiles of limb deformities remain underreported. As the world's largest developing country with regional economic disparities, China faces unique challenges in the diagnosis and management of limb deformities. The Qin Sihe Orthopaedic Surgery Database is currently the most comprehensive database of limb deformity in China, which has the largest case volume, the widest disease spectrum, and the broadest geographical coverage, provides an invaluable resource for studying limb deformity patterns in China and other developing countries. Objective: To analyze 37763 limb deformity cases from the Qin Sihe Orthopaedic Surgery Database, and to summarize the etiology distribution, disease spectrum, gender, age, geographical distribution, gait abnormalities and treatment strategies of limb deformities in China. Methods: Descriptive epidemiological methods were used to analyze the data of Qin Sihe Orthopaedic Surgery Database from May 25th, 1978 to December 31st, 2023 containing 37763 cases of Limb deformities. The data on patients' gender, age, etiology distribution, disease spectrum, geographical distribution, gait abnormalities and surgical methods etc will be statistically analyzed. Results: Among 37763 patients, 21815 (57.77 %) were male and 15948 (42.23 %) were female, aged 1-84 years old, covering 33 provinces, municipalities and autonomous regions in China and some international regions. Etiologies included 239 neurogenic, traumatic, congenital and metabolic diseases, among which neurogenic diseases took the dominant portion: 24430 (64. 7 %) cases of post-polio sequelae, 5088 (13. 4 %) cases of cerebral palsy. Lower limb deformities(35,869 cases,95 %) was significantly more than upper limb deformities (646 cases, 1.7 %). The surgical interventions included soft tissue release and tendon lengthening (e. g. Achilles tendon lengthening, 8282 cases, 21.93 %), osteotomy (e.g. supracondylar femoral osteotomy, 7740 cases, 20.50 %), and arthrodesis (e. g. talocalcaneal arthrodesis, 6873 cases, 18.20 %). The fixation methods included Ilizarov external fixation (5611 cases), combined external fixation (5612 cases), combined internal fixation (1805 cases) and plaster or brace immobilization (24735 cases). Conclusion: The causes of limb deformities in China are diverse, and the diseases involves multiple disciplines. Cases are predominantly male and young., Polio sequelae deformity remains the main malformation diseases, but the proportion of cerebral palsy, limb deformities after trauma, lower limb deformities after spina bifida and genetic metabolic diseases are increasing. This study provides important real-world data for the classification of etiological classification, precise diagnosis and treatment, and public health policy formulation of limb deformities in China. The translational potential of this article: This study is the most comprehensive big data analysis to date on the causes and treatment of limb deformities in China. The research results have revealed the main epidemiological characteristics of limb deformities in China, which is helpful for formulating more effective disability prevention and control strategies at the clinical diagnosis and public health levels in the future. Based on this data, a big data model for lower limb deformities may be gradually established, and the disease prevention and treatment system for limb deformities can be improved. According to the different types and causes of the diseases, the prevention and treatment level of limb deformities can be enhanced, and the disability rate caused by limb deformities can be reduced. In the future, the application depth of artificial intelligence-assisted diagnosis and interdisciplinary collaboration mechanisms can be further expanded.

Indexed as

DatabaseEpidemiologic studyLimb deformityQin Sihe Orthopaedic Surgery

Identifiers

PMID40741138
PMCPMC12307682

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.