Evidence map›Paper›PMID 35899090›Full record

ArticleThe Lancet regional health. Western Pacific2022

Effects of extreme temperature on the risk of preterm birth in China: A population-based multi-center cohort study.

Meng Ren, Qiong Wang, Wei Zhao, Zhoupeng Ren, Huanhuan Zhang, Bin Jalaludin, Tarik Benmarhnia, Jiangli Di, Huanqing Hu, Ying Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
5.6field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Building the model: a review of input structures in extreme temperature-health.Environmental health : a global access science source · 2026
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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

13 authors at 8 institutions in 3 countries.

Meng RenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Qiong WangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Wei ZhaoNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhoupeng RenState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Huanhuan ZhangSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Bin JalaludinSchool of Population Health, University of New South Wales, Sydney, Australia.
Tarik BenmarhniaDepartment of Family Medicine and Public Health & Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA.
Jiangli DiNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Huanqing HuNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Ying WangVanke School of Public Health, Tsinghua University, Beijing, China.
John S JiVanke School of Public Health, Tsinghua University, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.
Vanke (China) · CNNational Center for Women and Children’s Health, China CDC · CNChina Meteorological Administration · CNChinese Academy of Sciences · CNScripps Institution of Oceanography · USSun Yat-sen University · CNUNSW Sydney · AUZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extreme temperatures are associated with the risk of preterm birth (PTB), but evidence on the effects of different clinical subtypes and across different regions is limited. We aimed to evaluate the effects of maternal exposure to extreme temperature on PTB and its clinical subtypes in China, and to identify effect modification of regional factors in dimensions of population, economy, medical resources and environmental factors. Methods: This was a prospective population-based cohort of 210,798 singleton live births from 16 counties in eight provinces across China during 2014-2018. We used an extended Cox regression with time-varying variables to evaluate the effects of extreme heat and cold on PTB and its subtypes in the entire pregnancy, each trimester, the last gestational month and week. Meta-analysis and meta-regression were conducted to estimate the pooled effects of each city and effect modification by regional characteristics. Findings: Exposure to heat and cold during the entire pregnancy significantly increased the risk of PTB. The effects varied with subtypes, for medically indicated and spontaneous PTB, hazard ratios were 1·84 (95% CI: 1·29, 2·61) and 1·50 (95% CI: 1·11, 2·02) for heat, 2·18 (95% CI: 1·83, 2·60) and 2·15 (95% CI: 1·92, 2·41) for cold. The associations were stronger for PTB less than 35 weeks than those during weeks 35-36. The effects varied across locations, and GDP per capita (β=-0·16) and hospital beds per 1000 persons (β=-0·25) were protective factors for the effects. Interpretation: Extreme temperature can increase the risk of medically indicated and spontaneous PTB, and higher regional socio-economic status may moderate such effects. In the context of climate change, such findings may have important implications for protecting the health of vulnerable groups, especially newborns. Funding: National Key R&D Program of China (2018YFA0606200), National Natural Science Foundation of China (42175183), Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20030302), National Natural Science Foundation of China (42071377).

Indexed as

ChinaClimate changeClinical subtypeExtreme temperaturePreterm birth

Identifiers

PMID35899090
PMCPMC9310344
OpenAlexW4281755762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.