Evidence map›Paper›PMID 42064519›Full record

ArticleCureus2026

Selective Postoperative Hemoglobin Testing After Cesarean Delivery: A Predictive Model for Severe Postpartum Anemia.

Abbey P Donahue, Jeff Laux, Aileen J Beckham, James Edwards

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Abbey P DonahueObstetrics and Gynecology, Atrium Health Wake Forest Baptist, Winston-Salem, USA.
Jeff LauxBiostatistics, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Aileen J BeckhamObstetrics and Gynecology, WakeMed Hospitals, Raleigh, USA.
James EdwardsObstetrics and Gynecology, WakeMed Hospitals, Raleigh, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCesarean delivery is one of the most common surgeries in the United States and is associated with greater postpartum blood loss than vaginal delivery. Despite increasing emphasis on selective, symptom-driven evaluation, routine postoperative hemoglobin testing following cesarean delivery remains common practice. Identifying patients at greatest risk for severe postpartum anemia may help guide more targeted laboratory assessment while avoiding unnecessary testing in low-risk individuals. This study aimed to develop and evaluate a predictive model for severe postpartum anemia following cesarean delivery.

methodsWe conducted a retrospective cohort study of patients undergoing cesarean delivery at three hospitals within the WakeMed Health and Hospitals system in North Carolina during 2019. Patients aged ≥18 years with both preoperative and postoperative hemoglobin measurements were included. Demographic, obstetric, and clinical variables were extracted from the electronic health record. Severe postpartum anemia was defined as postoperative hemoglobin <7 g/dL. Elastic net logistic regression with 10-fold cross-validation was used to identify predictors of severe anemia.

resultsA total of 2,061 patients met the inclusion criteria. Severe postpartum anemia occurred in 80 patients (3.8%), and 116 patients (5.6%) received blood transfusion. The final predictive model retained two variables: preoperative hemoglobin level and number of uterotonic agents administered. The model demonstrated strong discrimination for predicting severe anemia (area under the curve: 0.89). Applying a prevalence-based probability threshold of 3.5% reduced postoperative hemoglobin testing by 65% while maintaining 90% sensitivity for identifying severe anemia. DISCUSSION: These findings suggest that a small number of routinely available clinical factors can effectively identify patients at increased risk for severe postpartum anemia following cesarean delivery. A risk-based approach to postoperative laboratory evaluation may support current guideline recommendations favoring selective testing and may reduce unnecessary laboratory utilization without compromising patient safety.

conclusionA predictive model incorporating preoperative hemoglobin level and uterotonic use provides a simple method for identifying patients at the highest risk for severe postpartum anemia after cesarean delivery. Implementing selective postoperative hemoglobin testing based on risk stratification may improve resource utilization and streamline postpartum care.

Indexed as

cesarean deliveryelastic net regressionhemoglobin testingobstetric hemorrhagepostpartum anemiapostpartum transfusionpredictive modelquality improvementrisk stratification

Identifiers

PMID42064519
PMCPMC13126415

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.