Evidence map›Paper›PMID 41333403›Full record

ArticleResearch square2025

Estimating the incidence and risk factors of postpartum hemorrhage from the national ENACT network.

Malarkodi J Samayamuthu, Olga Kravchenko, Wei-Hsuan Lo-Ciganic, Eugene M Sadhu, Seonkyeong Yang, Vanathi Gopalakrishnan, Shyam Visweswaran

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

7 authors.

Malarkodi J SamayamuthuUniversity of Pittsburgh.
Olga KravchenkoUniversity of Pittsburgh.
Wei-Hsuan Lo-CiganicUniversity of Pittsburgh.
Eugene M SadhuUniversity of Pittsburgh.
Seonkyeong YangUniversity of Pittsburgh.
Vanathi GopalakrishnanUniversity of Pittsburgh.
Shyam VisweswaranUniversity of Pittsburgh.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
ENACT: Translating Health Informatics Tools to Research and Clinical Decision MakingU24TR004111 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEVEN E REIS, SHYAM VISWESWARAN · 2022 to 2026
$23.3M
NCATS NIH HHS U24 TR004111NCATS NIH HHS UL1 TR001857
6 · The paper itself

Abstract

Aggregated counts from electronic health records (EHRs) provide a rich source of real-world data that can be leveraged to investigate critical medical conditions such as postpartum hemorrhage (PPH). We used the Evolve to Next-Gen Accrual to Clinical Trials (ENACT) network, a large, federated network of EHRs, and conducted repeated annual cross-sectional analyses on PPH incidence, risk factors, and maternal comorbidities in a large cohort of 591,375 delivery hospitalizations during the period 2005 to 2022. During this time, there was a statistically significant increasing trend in the incidence of PPH, which is consistent with previous studies. Native Hawaiian or Other Pacific Islander women had the highest incidence of PPH (12.14%), followed by Asian (11.04%) and Black or African American (9.36%) women. In PPH deliveries, the top-ranked risk factor was placenta previa or accreta (19.58%), the top-ranked comorbidity was primary cesarean delivery (41.08%), and the commonest cause was uterine atony (76.5%).

Identifiers

PMID41333403
PMCPMC12668171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.