Evidence map›Paper›PMID 39035139›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2024

Predictors of Postpartum Hemorrhage and Associated Outcomes at a Midwest Academic Medical Center.

Megan Mooberry, Natalie Voss, Linder Wendt, Kimberly A Kenne, J Brooks Jackson, Mary B Rysavy

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Megan MooberryCarver College of Medicine, University of Iowa, Iowa City, IA, USA.
Natalie VossCarver College of Medicine, University of Iowa, Iowa City, IA, USA.
Linder WendtInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA, USA.
Kimberly A KenneDepartment of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, USA.
J Brooks JacksonDepartment of Pathology, University of Iowa, Iowa City, IA, USA.
Mary B RysavyDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-7657-5746

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Postpartum hemorrhage (PPH) remains a significant cause of maternal morbidity and mortality around the world, with rates increasing in the United States. The objective of this study was to determine predictors of, and outcomes associated with, PPH at a Midwest academic health center. Methods: Demographic and clinical data were obtained from the electronic medical record on all consecutive delivering patients between May 1, 2020, and April 30, 2021. Associations between PPH and perinatal characteristics and outcomes were assessed using logistic regression models. A significance threshold of 0.05 was used for all comparisons. Results: Of the 2497 delivering patients during the study period, 437 (18%) experienced PPH. Chronic hypertension, gestational hypertension, and preeclampsia with and without severe features were all associated with increased odds of PPH (odds rations [ORs], respectively, 1.61 (95% CI:1.13-2.24, Conclusion: Our findings confirm previous literature that preexisting and pregnancy-related hypertension, diabetes mellitus, multiple gestation, cesarean delivery, and assisted vaginal delivery are important predictors of PPH. In addition, we found that neonates of mothers with PPH had more adverse outcomes. These results may help to inform clinical care as rates of PPH continue to rise in the United States.

Indexed as

hypertensionobstetricspostpartum hemorrhagepregnancy-induced

Identifiers

PMID39035139
PMCPMC11257117

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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.