Evidence map›Paper›PMID 41056961›Full record

SynthesisLancet (London, England)2025

Prognostic accuracy of clinical markers of postpartum bleeding in predicting maternal mortality or severe morbidity: a WHO individual participant data meta-analysis.

Ioannis Gallos, Caitlin R Williams, Malcolm J Price, Aurelio Tobias, Adam Devall, John Allotey, Fernando Althabe, Jenny A Cresswell, Jill Durocher, A Metin Gülmezoglu and 9 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Lancet (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. ClotProBMC pregnancy and childbirth · 2026
    Observational
  3. Article
  4. Article
  5. Article
  6. 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

19 authors.

Ioannis GallosUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, WHO, Geneva, Switzerland. Electronic address: gallosi@who.int.
Caitlin R WilliamsUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, WHO, Geneva, Switzerland.
Malcolm J PriceDepartment of Public Health, Canadian University Dubai, Dubai, United Arab Emirates.
Aurelio TobiasSpanish Council for Scientific Research, Barcelona, Spain.
Adam DevallTommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
John AlloteyInstitute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Fernando AlthabeUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, WHO, Geneva, Switzerland.
Jenny A CresswellUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, WHO, Geneva, Switzerland.
Jill DurocherGynuity Health Projects, New York, NY, USA.
A Metin GülmezogluConcept Foundation, Geneva, Switzerland.
Christian HaslingerDepartment of Obstetrics, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Rodolfo C PacagnellaDepartment of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas, São Paulo, Brazil.
Loïc SentilhesDepartment of Obstetrics and Gynecology, Bordeaux University Hospital, Bordeaux, France.
Soha SobhyTommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Idnan YunasNuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK; Department of Metabolism and Systems Science, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Jonathan J DeeksDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK; NIHR Birmingham Biomedical Research Centre, hosted by University Hospitals Birmingham NHS Foundation Trust in partnership with the University of Birmingham, Birmingham, UK.
Arri CoomarasamyTommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.
Olufemi T OladapoUNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction, Department of Sexual, Reproductive, Maternal, Child, Adolescent Health and Ageing, WHO, Geneva, Switzerland.
WHO Consortium on Postpartum Haemorrhage Definition

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundPostpartum haemorrhage (excessive bleeding after birth) is a leading cause of maternal mortality and morbidity worldwide. However, there is no global consensus on which clinical markers best define excessive bleeding or reliably predict adverse maternal outcomes. The aim of this study was to assess the prognostic accuracy of clinical markers of postpartum bleeding in predicting maternal mortality or severe morbidity.

methodsIn this individual participant data meta-analysis, eligible datasets were identified through a global call for data issued by WHO and systematic searches of PubMed, MEDLINE, Embase, the Cochrane Library, and WHO trial registries (from database inception to Nov 6, 2024). Studies were eligible if they included at least 200 participants with objectively measured blood loss or other clinical markers of haemodynamic instability, and reported at least one clinical outcome of interest. Individual participant data were requested for all eligible studies. For each dataset, we computed the prognostic accuracy of each clinical marker to predict a composite outcome of maternal mortality or severe morbidity (blood transfusion, surgical interventions, or admission to intensive care unit). Five clinical markers were assessed: measured blood loss, pulse rate, systolic blood pressure, diastolic blood pressure, and shock index. Results were meta-analysed through two-level mixed-effects logistic regression models, with a bivariate normal model used to generate summary accuracy estimates. Clinical marker and threshold selections were informed by a WHO expert consensus process, which placed emphasis on maximising prognostic sensitivity (preferably >80%) over prognostic specificity (preferably ≥50%). This meta-analysis was registered on PROSPERO (CRD420251034918).

findingsWe identified 33 potentially eligible datasets and successfully obtained and analysed full data for 12 datasets, comprising 312 151 women. At the conventional threshold of 500 mL, measured blood loss had a summary prognostic sensitivity of 75·7% (95% CI 60·3-86·4) and specificity of 81·4% (95% CI 70·7-88·8) for predicting the composite outcome. The preferred sensitivity threshold was reached at 300 mL (83·9% [95% CI 72·8-91·1]), although at the expense of reduced specificity (54·8% [95% CI 38·0-70·5]). Prognostic performance improved with a decision rule that combined the use of either blood loss thresholds less than 500 mL (≥300 mL to ≥450 mL) and any abnormal haemodynamic sign (pulse rate >100 beats per min, systolic blood pressure <100 mm Hg, diastolic blood pressure <60 mm Hg, or shock index >1·0) or 500 mL or more of blood loss, with sensitivities ranging from 86·9% to 87·9% and specificities from 66·6% to 76·1%.

interpretationMeasured blood loss below the conventional threshold, combined with abnormal haemodynamic signs, accurately predicts women at risk of death or life-threatening complications from postpartum bleeding and could support earlier postpartum haemorrhage diagnosis and treatment.

fundingThe Gates Foundation and UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction.

Indexed as

Maternal MortalityPostpartum HemorrhageBiomarkersBlood PressureFemaleHumansPregnancyPrognosisBiomarkers

Identifiers

PMID41056961
PMCPMC12549477

What OpenQuestion holds

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LicenceCC BY
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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.