Evidence map›Paper›PMID 39913559›Full record

SynthesisJournal of global health2025

Pregnancy with multiple high-risk factors: a systematic review and meta-analysis.

Yue Zhang, Weijie Ding, Tingting Wu, Songtao Wu, Hui Wang, Muhammad Fawad, Akilew Awoke Adane, Xiaochen Dai, Xiaoqin Zhu, Xiaolin Xu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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.

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Yue Zhang *School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Weijie Ding *Health Care Department, Huai'an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai'an, Jiangsu, China.
Tingting WuSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Songtao WuSchool of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Hui WangSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Muhammad FawadSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Akilew Awoke AdaneNgangk Yira Institute for Change, Murdoch University, Murdoch, Australia.
Xiaochen DaiDepartment of Health Metrics Science, School of Medicine, University of Washington, Seattle, USA.
Xiaoqin ZhuHealth Care Department, Huai'an Maternal and Child Health Care Hospital Affiliated to Yangzhou University, Huai'an, Jiangsu, China.
Xiaolin XuSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A wide spectrum of high-risk factors in pregnancy can lead to adverse pregnancy outcomes or short- or long-term health effects. Despite this, there has been no synthesis of findings on the measurement, potential causes, and health outcomes of multiple high-risk factors in pregnancy (MHFP). We aimed to address this gap by summarising the existing research on this topic. Methods: We retrieved studies published up to 3 June 2024 through systematic database searches and used a narrative synthesis approach to summarise the measurement, patterns, causes, and outcomes of MHFP. We also estimated the pooled MHFP prevalence through meta-analysis with a random effects model and performed subgroup analyses and meta-regression to examine potential sources of between-study heterogeneity. Results: We included 83 observational studies published between 2010 and 2024, of which 72% were from high-income countries. These studied factors can be grouped into four categories: physical conditions, mental conditions, sociobehavioural problems, and pregnancy history. We identified 16 MHFP patterns, among which co-existing multiple physical conditions were the most common pattern. The overall pooled prevalence of MHFP was 12% (95% confidence interval (CI) = 12-13), with an increasing trend and relatively higher levels in low- and middle-income countries (LMICs). We observed heterogeneity in the measurement of MHFP across the studies, possibly due to the number of risk factors in the definition of MHFP. About 78% of included studies investigated MHFP-associated health outcomes for women and offspring, with only two studies examining long-term maternal or offspring outcomes later in life. Conclusions: Research into MHFP has been emerging over the past decade, but is far from complete. The burden of MHFP is increasing worldwide, particularly LMICs. Maternal healthcare systems must shift to a multidisciplinary and integrated framework so as to better design and implement prevention and intervention programmes and sustain the healthy development of the next generation. Registration: PROSPERO: CRD42022358889.

Indexed as

Pregnancy ComplicationsFemaleHumansPregnancyPregnancy OutcomePrevalenceRisk Factors

Identifiers

PMID39913559
PMCPMC11893144

What OpenQuestion holds

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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.