Evidence map›Paper›PMID 40105082›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2025

[Burden of congenital birth defects in children under five in China from 1990 to 2021 and prediction of future trend].

Bing-Yi Huang, Qin Zhao, Dan-Li Peng, Man-Yi Wang, Qian-Wen Zhao

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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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. [Surveillance of birth defects among perinatal infants in Guiyang City, 2016-2024, and trend prediction].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2026
    Article
  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.

Bing-Yi HuangLaboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China.
Qin ZhaoLaboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China.
Dan-Li Peng
Man-Yi WangLaboratory of Genetics and Precision Medicine, Affiliated Hospital of Guilin Medical College, Guilin, Guangxi 541001, China.
Qian-Wen Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the incidence and disease burden of congenital birth defects in children under five in China from 1990 to 2021 and to predict the incidence of congenital birth defects in this population from 2022 to 2036, providing a reference for the prevention of congenital birth defects in children.

methodsUsing the Global Burden of Disease Study 2021 (GBD 2021) database, the incidence and disability-adjusted life years (DALY) were employed to describe the disease burden. The Joinpoint regression model was used to analyze the trends in incidence and DALY rates of congenital birth defects in children under five. A grey prediction model GM(1,1) was applied to fit the trend of incidence rates of congenital birth defects in this age group and to predict the incidence from 2022 to 2036.

resultsIn 2021, the incidence rate of congenital birth defects among children under five in China was 737.28 per 100 000. Among these, congenital musculoskeletal and limb deformities had the highest incidence rate at 307.15 per 100 000, followed by congenital heart defects (223.53 per 100 000), congenital urinary and genital tract malformations (74.99 per 100 000), and congenital gastrointestinal malformations (62.61 per 100 000). From 1990 to 2021, the incidence rate and DALY rate of congenital birth defects in children under five in China decreased at an average annual rate of 1.73% and 5.42%, respectively. The prediction analysis indicated a decreasing trend in the incidence of congenital birth defects among children under five in China from 2022 to 2036, with the incidence rate dropping from 892.36 per 100 000 in 2022 to 783.35 per 100 000 in 2036.

conclusionsThe incidence and disease burden of congenital birth defects in children under five in China showed a significant declining trend from 1990 to 2021. It is predicted that this incidence will continue to decrease until 2036.

Indexed as

Congenital AbnormalitiesChild, PreschoolChinaDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceInfantInfant, NewbornMaleChildCongenital birth defectDisease burdenDisease predictionJoinpoint regression model

Identifiers

PMID40105082
PMCPMC11928033

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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.