Evidence map›Paper›PMID 42370398›Full record

ArticleJournal of global health2024

Variations in the prevalence of scoliosis by age, sex, geographic region, and subtype among Chinese children: A systematic review and modelling study.

Jin Cao, Weidi Sun, Yutong Zheng, Shiyi Shan, Yi Liu, Xuanyin Huang, Ke Tang, Yajie Zhu, Davies Adeloye, Igor Rudan and 2 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

12 authors.

Jin CaoSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Weidi SunSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yutong ZhengSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Shiyi ShanSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yi LiuSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Xuanyin HuangSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Ke TangSchool of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yajie ZhuSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Davies AdeloyeCentre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Igor RudanCentre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland, UK.
Peige SongSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Global Health Epidemiology Research Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Scoliosis is a prevalent spinal condition typically detected in children, yet its prevalence in China has not been fully understood. This study aimed to estimate the prevalence of scoliosis among Chinese children and explore its variations by age, sex, geographic region, and subtype. Methods: We conducted a comprehensive search of seven bibliographic databases to identify epidemiological studies that reported the prevalence of scoliosis among Chinese children published since 1990. Scoliosis was defined as a Cobb angle equal to or greater than 10°, as detected radiographically. We used a multilevel mixed-effect meta-regression to estimate the age- and sex-specific prevalence of idiopathic scoliosis (IS). The overall prevalence and total cases of IS among Chinese children aged 5-18 years in 2020 were generated by applying the China census data. A random-effects meta-analysis was conducted to estimate the pooled prevalence of IS with varying curvatures (10-19°, 20-39°, and ≥40°) and locations (thoracic curve, lumbar curve, thoracolumbar curve, and double curve), as well as congenital scoliosis (CS). Results: A total of 46 articles covering 1 112 163 Chinese children were included. The prevalence of IS ranged from 0.06% (95% confidence interval (CI) = 0.00-0.26) among children aged five years to 1.44% (95% CI = 0.89-2.13) among those aged 18 years, peaking at 1.79% (95% CI = 1.18-2.53) among those aged 16 years. In 2020, the overall prevalence of IS among Chinese children aged 5-18 was 0.79% (95% CI = 0.45-1.27), translating to an estimated 1.81 million (95% CI = 1.04-2.91) affected children. Notably, IS prevalence was nearly double in girls compared to boys (1.03%, 95% CI = 0.63-1.57 vs. 0.58%, 95% CI = 0.29-1.01). Among the six geographic regions, the prevalence of IS was the highest in Northwest China (1.54%, 95% CI = 0.75-2.65) and the lowest in North China (0.33%, 95% CI = 0.11-0.73). The most commonly identified IS subtypes were curvatures of 10-19° and thoracolumbar curves, with a pooled prevalence of 7.14‰ (95% CI = 3.44-12.15) and 2.00‰ (95% CI = 0.83-3.65), respectively. As for CS, the pooled prevalence was 3.03 per 10 000 (95% CI = 1.88-4.43). Conclusions: The prevalence of scoliosis among Chinese children exhibits considerable variations across age, sex, geographic regions, and subtypes. It is imperative to develop targeted public health strategies and optimise the allocation of regional health resources. High-quality epidemiological research is still needed to unmask the diverse burden of scoliosis in children. Registration: PROSPERO CRD42023406260.

Identifiers

PMID42370398
PMCPMC11009895

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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.