Evidence map›Paper›PMID 37693883›Full record

ArticleThe Lancet regional health. Western Pacific2023

Exploration of the preterm birth risk-related heat event thresholds for pregnant women: a population-based cohort study in China.

Meng Ren, Chunying Zhang, Jiangli Di, Huiqi Chen, Aiqun Huang, John S Ji, Wannian Liang, Cunrui Huang

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Heat-Induced Pathophysiological and Metabolic Changes at the Feto-Maternal Interface Predisposing to Preterm Birth.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  6. Article
  7. Article
  8. China's public health initiatives for climate change adaptation.The Lancet regional health. Western Pacific · 2023
    Review
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

8 authors at 4 institutions in 1 country.

Meng RenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Chunying ZhangNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiangli DiNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Huiqi ChenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Aiqun HuangNational Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing, China.
John S JiVanke School of Public Health, Tsinghua University, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Cunrui HuangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
National Center for Women and Children’s Health, China CDC · CNSun Yat-sen University · CNTsinghua University · CNVanke (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heat events increase the risk of preterm birth (PTB), and identifying the risk-related event thresholds contributes to developing early warning system for pregnant women and guiding their public health response. However, the event thresholds that cause the risk remain unclear. We aimed to investigate the effects of heat events defined with different intensities and durations on PTB throughout pregnancy, and to determine thresholds for the high-risk heat events. Methods: Using a population-based birth cohort data, we included 210,798 singleton live births in eight provinces in China during 2014-2018. Daily meteorological variables and inverse distance weighted methods were used to estimate exposures at a resolution of 1 km × 1 km. A series of cut off temperature intensities (50th-97.5th percentiles, or 18 °C-35 °C) and durations (at least 1, 2, 3, 4 or 5 consecutive days) were used to define the heat events. Cox regression models were used to estimate the effects of heat events on PTB in various gestational weeks during the entire pregnancy, and event thresholds were determined by calculating population attributable fractions. Findings: The hazard ratios of heat event exposure on PTB ranged from 1.07 (95% CI: 1.00, 1.13) to 1.43 (1.15, 1.77). Adverse effects of heat event exposure were prominently detected in gestational week 1-4, week 21-32 and the four weeks before delivery. The heat event thresholds were determined to be daily maximum temperature at the 90th percentile of the distribution or 30 °C lasting for at least one day. If pregnant women were able to avoid the heat exposures from the early warning systems triggered by these thresholds, approximately 15% or 17% of the number of total PTB cases could have been avoided. Interpretation: Exposure to heat event can increase the risk of PTB when thermal event exceeds a specific intensity and duration threshold, particularly in the first four gestational weeks, and between week 21 and the last four weeks. This study provides compelling evidence for the development of heat-health early warning systems for pregnant women that could substantially mitigate the risk of PTB. Funding: National Key R&D Program of China (No. 2018YFA0606200), National Natural Science Foundation of China (No. 42175183), Sanming Project of Medicine in Shenzhen (No. SZSM202111001).

Indexed as

Birth cohortExtreme heat eventHeat thresholdPreterm birthSusceptible window

Identifiers

PMID37693883
PMCPMC10485674
OpenAlexW4377097889

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.