Evidence map›Paper›PMID 42491524›Full record

ReviewFrontiers in pediatrics2026

Maternal, healthcare, and nutritional factors influencing birth defects in China from 2019 to 2025: a systematic review and meta-analysis.

Min Yang, Jia Lv, Tianzhi Guo, Min Ren, Lingling Xie, Suhua Tu

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Min YangSchool of Nursing, Southwest Medical University, Luzhou, Sichuan, China.
Jia LvSchool of Nursing, Southwest Medical University, Luzhou, Sichuan, China.
Tianzhi GuoDepartment of Obstetrics and Gynecology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Min RenDepartment of Obstetrics and Gynecology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Lingling XieDepartment of Obstetrics and Gynecology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Suhua TuSchool of Nursing, Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to systematically evaluate the primary influencing factors of birth defects in China from 2019 to 2025, providing evidence for decision-making and intervention measures in the prevention of birth defects. Methods: A comprehensive search was conducted in various databases, including CNKI, Wanfang, VIP, China Biomedical Literature Database, PubMed, Web of Science, Embase, Elsevier Science Direct, and CINAHL, covering literature published from January 2019 to December 2025. Two researchers independently performed literature screening, quality assessment, and data extraction. Meta-analysis was conducted using Stata 17.0 software. For factors exhibiting high heterogeneity ( Results: A total of 25 studies were included in this analysis, comprising 26,019 cases of birth defects. Seventeen influencing factors were identified. Maternal physiological factors included maternal age ≥35 years (OR = 1.26, 95% CI: 1.05-1.47), maternal BMI > 30 kg/m Conclusion: Numerous factors influence the occurrence of birth defects. Medical professionals should prioritize addressing irregular folic acid supplementation, low rates of premarital examinations, and regional disparities in prenatal care as key intervention targets in China. It is essential to implement targeted interventions on controllable factors to prevent and reduce the incidence of birth defects.

Indexed as

birth defectChinafolic acidinfluencing factorsmaternal agemeta-analysisprenatal caresystematic review

Identifiers

PMID42491524
PMCPMC13377976

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LicenceCC BY
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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.