Evidence map›Paper›PMID 34964499›Full record

ArticlePaediatric and perinatal epidemiology2022

Antepartum severe maternal morbidity: A population-based study of risk factors and delivery outcomes.

Mégane Raineau, Catherine Deneux-Tharaux, Aurélien Seco, Marie-Pierre Bonnet, EPIMOMS Study Group

Open access · bronzeAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

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

  1. Pooled it
  2. Observational
  3. Severe Maternal Morbidity Among Adolescents Aged 10-19 in California, 2001-2020.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026
    Article
  4. Article
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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

5 authors at 1 institution in 1 country.

Mégane RaineauCentre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Obstetric Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris University, Paris, France.
Catherine Deneux-TharauxCentre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Obstetric Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris University, Paris, France.ORCID 0000-0002-6561-3321
Aurélien SecoCentre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Obstetric Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris University, Paris, France.
Marie-Pierre BonnetCentre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Obstetric Perinatal and Paediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris University, Paris, France.ORCID 0000-0003-2055-8813
EPIMOMS Study Group
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere maternal morbidity (SMM) is a key indicator of maternal health. Generally explored without distinction by the timing of the event, it mainly reflects postpartum SMM. Although antepartum (pre-labour) SMM presents specific challenges in its need to optimise the risk-benefit balance for both mother and foetus, its features remain inadequately explored.

objectivesWe explored risk factors of antepartum SMM and described adverse delivery and neonatal outcomes associated with antepartum SMM.

methodsWe designed a population-based nested case-control study based on data from the EPIMOMS study (119 maternity hospitals of 6 French regions, 2012-2013, N = 182,309 deliveries in the source cohort). This study included all women with antepartum SMM (cases, n = 601) compared to a randomly selected sample of women who gave birth without SMM in the same hospitals (controls, n = 3651). Antepartum SMM risk factors were identified with multivariable logistic regression following imputations for missing data.

resultsAntepartum SMM complicated 0.33% (95% confidence interval [CI] 0.30, 0.36) of pregnancies. Antepartum SMM risk factors were maternal age ≥35 years (adjusted odds ratio [OR] 1.55, 95% CI 1.22, 1.97), increased body mass index (OR for 5 kg/m

conclusionsAntepartum SMM is rare but associated with increased rates of adverse delivery and neonatal outcomes.

Indexed as

Pregnancy ComplicationsAdultCase-Control StudiesFemaleHumansInfant, NewbornMaternal AgePregnancyPregnancy, MultipleRisk Factorsperinatal morbiditypregnancy-related hypertensive disorderspreterm deliverysevere maternal morbidity, antepartum

Identifiers

PMID34964499
PMCPMC9255856
OpenAlexW4200195032

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.