Evidence map›Paper›PMID 22123123›Full record

ArticleBMC pregnancy and childbirth2011

Inability to predict postpartum hemorrhage: insights from Egyptian intervention data.

Ndola Prata, Sabry Hamza, Suzanne Bell, Deborah Karasek, Farnaz Vahidnia, Martine Holston

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
5.2field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Predicting postpartum haemorrhage: A systematic review of prognostic models.The Australian & New Zealand journal of obstetrics & gynaecology · 2022
    Pooled it
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  4. Prepartum Anemia and Risk of Postpartum Hemorrhage: A Meta-Analysis and Brief Review.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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  18. Blood Transfusion Practices in Obstetrics: Our Experience.Journal of obstetrics and gynaecology of India · 2018
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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

6 authors at 3 institutions in 2 countries.

Ndola PrataBixby Center for Population, Health and Sustainability, School of Public Health, University of California at Berkeley, 229 Warren Hall, UC-Berkeley, Berkeley, CA 94720-7360, USA. ndola@berkeley.edu
Sabry Hamza
Suzanne Bell
Deborah Karasek
Farnaz Vahidnia
Martine Holston
University of California, Berkeley · USAin Shams University · EGBerkeley Public Health Division · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge on how well we can predict primary postpartum hemorrhage (PPH) can help policy makers and health providers design current delivery protocols and PPH case management. The purpose of this paper is to identify risk factors and determine predictive probabilities of those risk factors for primary PPH among women expecting singleton vaginal deliveries in Egypt.

methodsFrom a prospective cohort study, 2510 pregnant women were recruited over a six-month period in Egypt in 2004. PPH was defined as blood loss ≥ 500 ml. Measures of blood loss were made every 20 minutes for the first 4 hours after delivery using a calibrated under the buttocks drape. Using all variables available in the patients' charts, we divided them in ante-partum and intra-partum factors. We employed logistic regression to analyze socio-demographic, medical and past obstetric history, and labor and delivery outcomes as potential PPH risk factors. Post-model predicted probabilities were estimated using the identified risk factors.

resultsWe found a total of 93 cases of primary PPH. In multivariate models, ante-partum hemoglobin, history of previous PPH, labor augmentation and prolonged labor were significantly associated with PPH. Post model probability estimates showed that even among women with three or more risk factors, PPH could only be predicted in 10% of the cases.

conclusionsThe predictive probability of ante-partum and intra-partum risk factors for PPH is very low. Prevention of PPH to all women is highly recommended.

Indexed as

Cohort StudiesDelivery, ObstetricEgyptFemaleHumansIncidenceMaternal Health ServicesPostpartum HemorrhagePregnancyPrenatal DiagnosisProspective StudiesRegression AnalysisRisk Factors

Identifiers

PMID22123123
PMCPMC3276439
OpenAlexW2148745521

What OpenQuestion holds

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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.