Evidence map›Paper›PMID 41024314›Full record

ArticleJournal of health, population, and nutrition2025

Analysis of TORCH screening and prenatal risk assessment for childbearing-age women in different regions of China.

Yuan Zhang, Ya Zhang, Jing Wang, Li Lin, Jian Chai, Jinmei Liu, Junxi Zhang, Yongmei Gao, Panpan Sun, Chenglong Wang and 7 more

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 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. 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

17 authors.

Yuan Zhang *National Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, 100081, China.
Ya Zhang *National Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, 100081, China.
Jing Wang *Department of Obstetrics and Gynecology, Peking University International Hospital, Beijing, 102218, China.
Li LinDepartment of Obstetrics and Gynecology, Peking University International Hospital, Beijing, 102218, China.
Jian ChaiInstitute of Reproductive Health, Henan Academy of Innovations in Medical Science, Zhengzhou, 450014, China.
Jinmei LiuFamily Planning Science and Technology Service Center of Gansu Province, Lanzhou, 730030, China.
Junxi ZhangInstitute of Reproductive Health, Henan Academy of Innovations in Medical Science, Zhengzhou, 450014, China.
Yongmei GaoFamily Planning Science and Technology Service Center of Gansu Province, Lanzhou, 730030, China.
Panpan SunInstitute of Reproductive Health, Henan Academy of Innovations in Medical Science, Zhengzhou, 450014, China.
Chenglong WangFamily Planning Science and Technology Service Center of Gansu Province, Lanzhou, 730030, China.
Lifang JiangInstitute of Reproductive Health, Henan Academy of Innovations in Medical Science, Zhengzhou, 450014, China.
Daoxia LiFamily Planning Science and Technology Service Center of Gansu Province, Lanzhou, 730030, China.
Yingwu ZhangBeijing Yanqing Maternal and Child Health Hospital, Beijing, 102199, China.
Xiaofen GuBeijing Changping Maternal and Child Health Hospital, Beijing, 102200, China.
Chaoyu ZhangNational Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, 100081, China.
Yuanyuan WangNational Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, 100081, China. wangyuanyuan@e-health.org.cn.
Xu MaNational Research Institute for Family Planning, National Human Genetic Resources Center, Beijing, 100081, China. nfpcc_ma@163.com.

Funding

National Key Research and Development Program of China 2016YFC1000307National Key Research and Development Program of China 2018YFC1002201
6 · The paper itself

Abstract

objectiveBy conducting TORCH screening and risk assessment analysis on childbearing-age women in different regions of China, the aim is to provide reference for reducing adverse pregnancy outcomes and improving the health status of childbearing-age women.

methodsBetween February and May 2021, in the eastern, central, and western regions of China (Beijing, Henan, Gansu), a total of 1,942 couples aged 18 to 49, from both urban and rural areas, were included in this cross-sectional study. TORCH screening was conducted on all these women of childbearing-age, and risk assessment was performed based on the examination results.

resultIn this study, toxoplasmosis, rubella, CMV, HSV, IgM positive rate were 0.2%, 0.4%, 0.3%, 0.3%, respectively, and CT, TP, HBsAg, HCV, HIV, positive rate were 0.1%, 0.2%, 2.1%, 0.3%, 0.0%, respectively. The total TORCH screening identified 63.4% of women as having potential risks, compared to 15.5% of routine ToRCH screening. The distribution of the risk population shows significant differences among provinces, ethnicities, education levels, and age groups (p ≤ 0.001). Trend chi-square tests revealed that as the level of education increased, the proportion of the risk population decreased.

conclusionsThe TORCH screening utilized in this study demonstrates advantages over ToRCH, as it can identify more women of childbearing age with potential risks before pregnancy, allowing for early interventions. Simultaneously, these findings underscore the necessity for targeted health education, especially for young women in economically underdeveloped areas and those with relatively lower education levels.

Indexed as

Mass ScreeningAdolescentAdultChinaCross-Sectional StudiesFemaleHumansMiddle AgedPregnancyRisk AssessmentRubellaRural PopulationToxoplasmosisUrban PopulationYoung Adult

Identifiers

PMID41024314
PMCPMC12482013

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LicenceCC BY-NC-ND
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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.