Evidence map›Paper›PMID 37179417›Full record

ArticleScientific reports2023

Association between excessive fetal growth and maternal cancer in Shanghai, China: a large, population-based cohort study.

Naisi Qian, Qing Yang, Lei Chen, Shan Jin, Jiaying Qiao, Renzhi Cai, Chunxiao Wu, Huiting Yu, Kai Gu, Chunfang Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. 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
0.2field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Naisi QianDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Qing YangDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Lei ChenDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Shan JinDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Jiaying QiaoDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Renzhi CaiDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Chunxiao WuDepartment of Oncology, Institute of Chronic Disease Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China.
Huiting YuDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China. yuhuiting@scdc.sh.cn.
Kai GuDepartment of Oncology, Institute of Chronic Disease Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China. gukai@scdc.sh.cn.
Chunfang WangDepartment of Vital Statistics, Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, West Zhongshan Rd. No 1380, Changning District, Shanghai, China. wangchunfang@scdc.sh.cn.
Shanghai Municipal Center For Disease Control Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of high birth weight or large for gestational age (LGA) infants is increasing, with increasing evidence of pregnancy-related factors that may have long-term impacts on the health of the mother and baby. We aimed to determine the association between excessive fetal growth, specifically LGA and macrosomia, and subsequent maternal cancer by performing a prospective population-based cohort study. The data set was based on the Shanghai Birth Registry and Shanghai Cancer Registry, with medical records from the Shanghai Health Information Network as a supplement. Macrosomia and LGA prevalence was higher in women who developed cancer than in women who did not. Having an LGA child in the first delivery was associated with a subsequently increased risk of maternal cancer (hazard ratio [HR] = 1.08, 95% confidence interval [CI] 1.04-1.11). Additionally, in the last and heaviest deliveries, there were similar associations between LGA births and maternal cancer rates (HR = 1.08, 95% CI 1.04-1.12; HR = 1.08, 95% CI 1.05-1.12, respectively). Furthermore, a substantially increased trend in the risk of maternal cancer was associated with birth weights exceeding 2500 g. Our study supports the association between LGA births and increased risks of maternal cancer, but this risk requires further investigation.

Indexed as

Fetal MacrosomiaNeoplasmsBirth WeightBody Mass IndexChildChinaCohort StudiesFemaleFetal DevelopmentGestational AgeHumansMothersPregnancyProspective StudiesWeight Gain

Identifiers

PMID37179417
PMCPMC10183036
OpenAlexW4376504002

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.