Evidence map›Paper›PMID 42504091›Full record

ArticleAnnals of medicine2026

Gestational cardiovascular health and adverse pregnancy outcomes: a prospective cohort study in China.

Qi Wu, Hao Ma, Yihui Wu, Shuqi Zhu, Jiayue Tang, Mengjia Hu, Yibo Tang, Luyao Hu, Lixia Zhang, Xiaolin Xu and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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.

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

13 authors.

Qi WuObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0001-5117-2708
Hao MaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Yihui WuObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0009-0006-7248-8748
Shuqi ZhuObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jiayue TangObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Mengjia HuObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yibo TangObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Luyao HuObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Lixia ZhangObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Xiaolin XuSchool of Public Health, Zhejiang University, Hangzhou, China.
Danqing ChenObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Zhaoxia LiangObstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0001-8571-3269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy is regarded as a crucial window period for the assessment and management of cardiovascular health (CVH). This study investigated the relationship between the gestational CVH metrics of Chinese women and adverse pregnancy outcomes. PATIENTS AND

methodsSix separate CVH metrics (smoking status, body mass index, blood pressure, total cholesterol, fasting blood glucose, and sleep health) were measured at 24-28 gestational weeks and categorized as ideal (2 points), intermediate (1 point), or poor (0 point) to generate a gestational CVH score. Total gestational CVH was categorized as high (all ideal metrics), moderate (no poor metrics), or low (one or more poor metric). Associations between gestational CVH and adverse pregnancy outcomes were evaluated using Poisson regression.

resultsAmong the 2,775 pregnant women included, 36.07%, 36.11%, and 27.82% had high, moderate, and low CVH, respectively. Each one-point increase in the CVH score was significantly associated with 7% and 4% lower risk of adverse maternal and neonatal outcomes (relative risk [RR], 0.93 and 0.96; 95% confidence interval [CI], 0.90-0.95 and 0.93-0.98). Compared with low CVH, high CVH was associated with 21% and 12% lower risk of adverse maternal and neonatal outcomes (RR, 0.79 and 0.88; 95% CI, 0.72-0.87 and 0.80-0.96). Individual CVH metrics also showed associations with adverse pregnancy outcomes, in which ideal body mass index, fasting blood glucose and sleep health were particularly important.

conclusionsHigh gestational CVH was significantly associated with a considerably lower risk of adverse pregnancy outcomes, but approximately two-thirds of pregnant Chinese women do not achieve a high level of CVH.

Indexed as

Cardiovascular DiseasesPregnancy Complications, CardiovascularPregnancy OutcomeAdultBlood GlucoseBlood PressureBody Mass IndexChinaCholesterolFemaleGestational AgeHumansPregnancyProspective StudiesRisk FactorsSleepBlood GlucoseCholesteroladverse outcomesCardiovascular healthChinese women

Identifiers

PMID42504091
PMCPMC13410539

What Socratic holds

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LicenceCC BY
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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 Socratic graph.