Evidence map›Paper›PMID 32753039›Full record

Observational studyBMC pregnancy and childbirth2020

Association between prepregnancy body mass index and risk of congenital heart defects in offspring: an ambispective observational study in China.

Xuelian Yuan, Zhen Liu, Jun Zhu, Ping Yu, Ying Deng, Xinlin Chen, Nana Li, Shengli Li, Shuihua Yang, Jun Li and 2 more

Open access · goldAbstract readComparative StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

12 authors at 6 institutions in 1 country.

Xuelian YuanNational Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhen LiuKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Jun ZhuNational Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Ping YuKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Ying DengKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Xinlin ChenDepartment of Ultrasound, Hubei Maternal and Child Healthcare Hospital, Wuhan, Hubei, China.
Nana LiKey Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Shengli LiDepartment of Ultrasound, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Shuihua YangDepartment of Ultrasound, Guangxi Maternal and Child Healthcare Hospital, Nanning, Guangxi, China.
Jun LiDepartment of Ultrasonic Diagnosis, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Hanmin LiuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, No. 20 Ren Min Nan Lu, Chengdu City, Sichuan Province, 610041, People's Republic of China. hanmin@vip.163.com.
Xiaohong LiNational Center for Birth Defect Monitoring of China, West China Second University Hospital, Sichuan University, No. 17 Ren Min Nan Lu, Chengdu City, Sichuan Province, 610041, People's Republic of China. lixiaohong82@scu.edu.cn.
Sichuan University · CNWest China Second University Hospital of Sichuan University · CNGuangxi Maternal and Child Health Hospital · CNHubei Provincial Women and Children's Hospital · CNShenzhen Maternity and Child Healthcare Hospital · CNXijing Hospital · CN

Funding

Program for Changjiang Scholars and Innovative Research Team at University IRT0935The National Key Research and Developemnt Program of China 2018YFC1002200The National Key Research and Development Program of China 2016YFC1000102
6 · The paper itself

Abstract

backgroundCongenital heart defects (CHDs) are the most common birth defect around the world. Maternal prepregnancy obesity has been proposed as a risk factor of CHDs, but the relationship of CHD risk with over- and underweight is controversial, especially because body mass index (BMI) distribution differs between Asia and the West. The study aimed to examine the potential associations of maternal over- and underweight on risk of offspring CHDs.

methodsAn ambispective observational study involving 1206 fetuses with CHDs and 1112 fetuses without defects at seven hospitals in China was conducted. Standardized questionnaires were used to collect information on maternal prepregnancy weight and height, social demographic characteristics, living and occupational environments, and lifestyle behaviors. Univariate, multivariate and multilevel logistic regression as well as unrestricted cubic spline analysis were used to examine potential associations of prepregnancy BMI and offspring CHDs.

resultsPrepregnancy maternal underweight (BMI<18.5) or low average BMI (18.5 ≤ BMI<21.25) was associated with significantly higher risk of CHD in offspring than high average BMI (21.25 ≤ BMI<24.0): multilevel logistic regression indicated adjusted odds ratios of 1.53 (95%CI 1.13, 2.08) for underweight, 1.44 (95%CI 1.10, 1.89) for low average BMI and 1.29 (95%CI 0.84, 1.97) for overweight or obesity (BMI ≥ 24.0). Mothers with prepregnancy BMI < 21.25 were at greater risk of offspring with septal defects, while mothers with low average BMI were at greater risk of offspring with conotruncal defects and septal defects.

conclusionsOur findings suggest that underweight or low average BMI may be associated with higher risk of CHDs in offspring. Health professionals may wish to advise women planning to be pregnant to maintain or even gain weight to ensure adequate, balanced nutrition and thereby reduce the risk of CHDs in their offspring.

Indexed as

AdultBody Mass IndexChinaFemaleHeart Defects, CongenitalHumansInfant, NewbornMothersOverweightPregnancyRisk FactorsSurveys and QuestionnairesThinnessYoung AdultBody mass indexCongenital heart defectsMultilevel logistic regressionPrepregnancy weightUnrestricted cubic spline analysis

Identifiers

PMID32753039
PMCPMC7405421
OpenAlexW3047152845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.