Evidence map›Paper›PMID 36498035›Full record

ArticleInternational journal of environmental research and public health2022

Spatiotemporal Patterns of Adverse Pregnancy Outcomes in Rural Areas of Henan, China.

Jian Chai, Junxi Zhang, Yuanyuan Shi, Panpan Sun, Yuhong Wang, Dezhuan Zhou, Wei Dong, Lifang Jiang, Peng Jia

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Jian ChaiNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.ORCID 0000-0001-6375-1854
Junxi ZhangNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Yuanyuan ShiSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China.
Panpan SunNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Yuhong WangNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Dezhuan ZhouNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Wei DongNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Lifang JiangNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou 450002, China.
Peng JiaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-0110-3637
National Health and Family Planning Commission · CNWuhan University · CN

Funding

Medical Science and Technology Project of Henan Provincial Health Commission LHGJ20200259Scientific and Technical Project of Henan Science and Technology Department 212102310476Scientific and Technical Project of Henan Science and Technology Department 222102310150the National Health Commission Key Laboratory of Birth Defects Prevention, Henan Province ZD2019005the Research Grants for Province-affiliated Institutes JBKY2019005the Research Grants for Province-affiliated Institutes JBKY2020015
6 · The paper itself

Abstract

The spatial patterns of adverse pregnancy outcomes (APOs) are complex, vary by place, and remain not entirely clear. This study investigated spatiotemporal patterns of APOs in rural areas of Henan, China. We used data from 1,315,327 singleton pregnancies during 2013-2016 in rural areas of Henan, China, from the National Free Pre-pregnancy Checkup Program (NFPCP). A spatiotemporal analysis of APOs was conducted based on the time of conception and current address. Results of seasonality decomposed showed a slight decline in the incidence rate of APOs (12.93% to 11.27% in the compound trend) among the participants from 2013 to 2016 and also variation in annual periodicity (peaking in autumn at 12.66% and hitting bottom in spring at 11.16%). Spatial clusters of APOs were concentrated in an intersection band of northwestern to southeastern Henan Province (with a relative risk ratio ranging from 3.66 to 1.20), the northwestern and northern portion for temporal variation (having a trend in the cluster ranged from -6.25% to 83.93). This study provides an overall picture of APOs that presented downward trends over time, seasonal fluctuation, and clustered patterns across space and over time in Henan Province-the most populated province in China. The findings of this study warrant future studies to investigate underlying influential factors of spatial variation of APOs.

Indexed as

Pregnancy OutcomeChinaFemaleHumansIncidencePregnancySeasonsSpatio-Temporal Analysisadverse pregnancy outcomepre-pregnancy checkupspatial analysisspatial epidemiologyspatial pattern

Identifiers

PMID36498035
PMCPMC9736531
OpenAlexW4311002415

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Registered trials

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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.