Evidence map›Paper›PMID 28432291›Full record

ArticleScientific reports2017

Birth weight changes in a major city under rapid socioeconomic transition in China.

Jian-Rong He, Wei-Dong Li, Min-Shan Lu, Yong Guo, Fan-Fan Chan, Jin-Hua Lu, Li-Fang Zhang, Song-Ying Shen, Xiao-Yan Xia, Ping Wang and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03651687 (Guangzhou Surveillance and Clinical Study in Microcephaly), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT03651687 completednot on this map

Guangzhou Surveillance and Clinical Study in Microcephaly

TypeobservationalSponsorGuangzhou Women and Children's Medical CenterRan2017 to 2024Enrolled47,369ConditionsMicrocephaly
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
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  8. Observational
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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

15 authors.

Jian-Rong HeDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Wei-Dong LiDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Min-Shan LuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yong GuoDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Fan-Fan ChanDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Jin-Hua LuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Li-Fang ZhangDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Song-Ying ShenDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiao-Yan XiaDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Ping WangDepartment of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Wei-Jian MoDepartment of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Kin Bong Hubert LamNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-1228-3362
Jane E HirstNuffield Department of Obstetrics & Gynaecology, University of Oxford, Oxford, UK.
Hui-Min XiaDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. huimin.xia876001@gmail.com.
Xiu QiuDivision of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China. qxiu0161@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimates of trends in birth weight may be useful in evaluating population health. We aimed to determine whether temporal changes in birth weight have occurred amongst 2.3 million neonates born in Guangzhou, China, during 2001-2015 and investigate the socioeconomic determinants of any changes. Trends in mean birth weight and annualized changes with the associated 95% confidence intervals (CIs) in the incidence of small for gestational age (SGA) and large for gestational age (LGA), defined as birth weight <10

Indexed as

Birth WeightInfant, Small for Gestational AgeAdultAge DistributionBody Mass IndexChinaFemaleHumansIncidenceInfant, NewbornMaleMiddle AgedRegression AnalysisRisk FactorsSocioeconomic FactorsYoung Adult

Identifiers

PMID28432291
PMCPMC5430650

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Registered trials

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.