Evidence map›Paper›PMID 41643921›Full record

ArticleFertility and sterility2026

Unplanned pregnancy and severe maternal morbidity.

Alice Abernathy, Miatta Goba, Markolline Forkpa, Jesse Chittams, Sindhu K Srinivas, Sunni L Mumford, Courtney A Schreiber

Abstract read
In one paragraph

Article in Fertility and sterility, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

7 authors.

Alice AbernathyDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: Alice.Abernathy@pennmedicine.upenn.edu.
Miatta GobaUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Markolline ForkpaDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jesse ChittamsUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Sindhu K SrinivasDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.
Sunni L MumfordDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Courtney A SchreiberDepartment of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

WOMENS REPRODUCTIVE HEALTH RESEARCH CAREER DEVELOPMENTK12HD001265 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth A Howell · 1998 to 2026
$7.5M
NICHD NIH HHS K12 HD001265NICHD NIH HHS L30 HD113119
6 · The paper itself

Abstract

objectiveTo measure the association between unplanned pregnancy and severe maternal morbidity (SMM).

designRetrospective cohort study. SUBJECTS: Prepandemic singleton deliveries from January 1, 2019 to December 31, 2019 at two Philadelphia hospitals. EXPOSURE: Unplanned pregnancy, self-reported at the start of pregnancy.

main outcome measuresSevere maternal morbidity with blood transfusion, identified using Centers for Disease Control and Prevention (CDC) methodology. Covariates included maternal age, race, ethnicity, insurance, site of care, chronic hypertension, diabetes, and prepregnancy body mass index. We compared unadjusted and adjusted associations between unplanned pregnancy and SMM using complete case analysis, inverse probability weighting, and multiple imputation.

resultsThe cohort consisted of 9,592 births, unplanned pregnancy was assessed in 32.8% (n=3,153) patients. Across all methods to address missing data, unplanned pregnancy was not associated with SMM (complete case adjusted odds ratio [aOR] 0.80, 95% confidence interval 0.60-1.09), either before or after adjustment for covariates.

conclusionIn this cohort, unplanned pregnancy was not associated with SMM. More nuanced measures of pregnancy planning behavior, especially among people at high risk of SMM, warrants future investigation.

Indexed as

Pregnancy ComplicationsPregnancy, UnplannedAdultBlood TransfusionFemaleHumansMorbidityPhiladelphiaPregnancyRetrospective StudiesRisk FactorsYoung Adultpreconception carePregnancy planningsevere maternal morbidity

Identifiers

PMID41643921
PMCPMC13343395

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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.