Evidence map›Paper›PMID 39546210›Full record

ArticleEuropean journal of epidemiology2024

A prospective multicenter birth cohort in China: pregnancy health atlas.

Si Zhou, Niya Zhou, Hanbo Zhang, Wenzhi Yang, Qingsong Liu, Lianshuai Zheng, Yuting Xiang, Dan Zheng, Yan Zhou, Siyi Wang and 21 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  8. Review
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

31 authors.

Si ZhouWomen's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China.
Niya ZhouChongqing Research Center for Prevention & Control of Maternal and Child Diseases and Public Health, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
Hanbo ZhangBGI Genomics Co., Ltd., Shenzhen, 518083, China.ORCID http://orcid.org/0009-0007-0441-9721
Wenzhi YangHebei Maternal and Child Genes and Health Industry Technology Research Institute, Shijiazhuang, 050000, China.
Qingsong LiuPrenatal Diagnosis Department, Chengdu Women's and Children's Central Hospital, Chengdu, 611731, China.
Lianshuai ZhengLianyungang Maternal and Child Health Hospital, Lianyungang, 222000, China.
Yuting XiangDepartment of Obstetrics, Dongguan People's Hospital, Dongguan, 523059, China.
Dan ZhengGuiyang Maternal and Child Health Care Hospital, Guiyang, 550000, China.
Yan ZhouInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Siyi WangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
Danling ChengLonggang Maternal and Child Health Hospital (Longgang Maternal and Child Clinical College of Shantou University Medical College), Shenzhen, 518100, China.
Jun HeHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Hong WangInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Wenbin ZhangInner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
Liping GuanBGI Genomics Co., Ltd., Shenzhen, 518083, China.
Qiaoling GengHebei Province Key Laboratory of Environment and Human Health, Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Shijiazhuang, China.
Shihao ZhouHunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha Hospital for Maternal & Child Health Care Affiliated to Hunan Normal University, Changsha, China.
Hongbo ZhaiDepartment of Obstetrics, School Of Medicine, Affiliated Hangzhou First People's Hospital, Westlake University, Hangzhou, China.
Hua JinDepartment of Prenatal Diagnosis, Jinan Maternal and Child Health Hospital, JinanShandong Province, 250001, China.
Fei HouDepartment of Prenatal Diagnosis, Jinan Maternal and Child Health Hospital, JinanShandong Province, 250001, China.
Shuzhen WuDepartment of Obstetrics, Dongguan People's Hospital, Dongguan, 523059, China.
Jie GaoDepartment of Medical Administration, Dalian Women and Children's Medical Group, DaLian, 116033, China.
Jing YiBGI Genomics Co., Ltd., Shenzhen, 518083, China.
Luming SunShanghai First Maternity and Infant Health Hospital, Shanghai, 201204, China.
Fengxiang WeiLonggang Maternal and Child Health Hospital (Longgang Maternal and Child Clinical College of Shantou University Medical College), Shenzhen, 518100, China.
Jianguo ZhangBGI Genomics Co., Ltd., Shenzhen, 518083, China. zhangjg@genomics.cn.
Lei YuDongguan Key Laboratory of Major Diseases in Obstetrics and Gynecology, Dongguan, 523059, China. myyl2004@163.com.
Xiao YangDepartment of Obstetrics, Chengdu Women's and Children's Central Hospital, Chengdu, 611731, China. yczar@126.com.
Leilei WangLianyungang Maternal and Child Health Hospital, Lianyungang, 222000, China. wangleileiok@hotmail.com.
Lijian ZhaoBGI Genomics Co., Ltd., Shenzhen, 518083, China. zhaolijian@genomics.cn.
Hongbo QiDepartment of Obstetrics and Gynecology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China. qihongbo728@163.com.

Funding

Adaptable and Seamless Technology Transfer Program through Target-Driven R and D 2022YFC2704700Education Department of Inner Mongolia Autonomous Region 2021GG0130Instituto de Ciencia y Tecnología del Distrito Federal LGKCYLWS2023019Natural Science Foundation of Hunan Province 2023JJ60398)Stanford Maternal and Child Health Research Institute 2023FYYNB003Tianjin Municipal Transportation Commission Science and Technology Development Plan Project 202201138
6 · The paper itself

Abstract

The China Prospective Multi-Center Birth Cohort Study was launched in 2022. In collaboration with medical centers in 12 cities, it aims to establish a high-quality, multidimensional cohort comprising 20,000 natural pregnancy and assisted reproductive families. As of June 26, 2024, 12,911 pregnant women have participated in this study, and 161,122 biological samples have been collected. These samples cover four critical periods (early pregnancy, mid-pregnancy, late pregnancy, and postpartum) and comprise 10 different types such as serum, plasma, and urine. The study has collected comprehensive information from early pregnancy to newborns. The participants have an average age of 29.76 years, an average height of 160.46 cm, an average pre-pregnancy BMI of 23.11, and an average BMI of 27.25 before delivery. The cohort includes individuals from 26 ethnic groups, with 25 minority groups comprising 5.03% of the population. Guizhou Province exhibits the highest percentage of ethnic minorities at 24.96% and Guangdong Province owns the highest proportion (12.22%) of women with two or more children. The prevalence of thalassemia in Guangdong Province is seven times higher than in other provinces. Among pregnant women over 35 years old, the prevalence of gestational diabetes mellitus is twice that of women under 35. Additionally, the prevalence of preeclampsia in women with assisted reproductive pregnancies is more than twice that of those with natural pregnancies. The study extensively collected diverse data and biological samples, making this cohort an ideal candidate for DOHaD field and multi-omics research.

Indexed as

Birth CohortAdultChinaFemaleHumansInfant, NewbornPregnancyPregnancy ComplicationsProspective StudiesBirth cohortDOHaDMulti-center studyMulti-omicsProspective study

Identifiers

PMID39546210
PMCPMC11646276

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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.