Evidence map›Paper›PMID 30514326›Full record

ArticleReproductive health2018

Distribution of postpartum blood loss: modeling, estimation and application to clinical trials.

José Ferreira de Carvalho, Gilda Piaggio, Daniel Wojdyla, Mariana Widmer, A Metin Gülmezoglu

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Reproductive health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00781066 (Controlled Cord Traction During Third Stage of Labor), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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.

NCT00781066 phase3completednot on this map

Controlled Cord Traction During Third Stage of Labor: Pilot Trial

TypeinterventionalSponsorUniversidad de la RepublicaRan2007 to 2007Enrolled200ConditionsPostpartum HemorrhageArmsControlled cord traction, No controlled cord traction
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 3 countries.

José Ferreira de CarvalhoStatistika Consultoria, Campinas, São Paulo, Brazil.
Gilda PiaggioStatistika Consultoria, Campinas, São Paulo, Brazil. gilda.piaggio@gmail.com.ORCID http://orcid.org/0000-0002-9885-8392
Daniel WojdylaDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Mariana WidmerDepartment of Reproductive Health and Research, World Health Organization, UNDP/UNFPA/ UNICEF/WHO/World Bank Special programme of research, development and research training in human reproduction (HRP), Geneva, Switzerland.
A Metin GülmezogluDepartment of Reproductive Health and Research, World Health Organization, UNDP/UNFPA/ UNICEF/WHO/World Bank Special programme of research, development and research training in human reproduction (HRP), Geneva, Switzerland.
Elabora Consultoria (Brazil) · BRWorld Health Organization · CHDuke University · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe loss of large amounts of blood postpartum can lead to severe maternal morbidity and mortality. Understanding the nature of postpartum blood loss distribution is critical for the development of efficient analysis techniques when comparing treatments to prevent this event. When blood loss is measured, resulting in a continuous volume measure, often this variable is categorized in classes, and reduced to an indicator of volume greater than a cutoff point. This reduction of volume to classes entails a substantial loss of information. As a consequence, very large trials are needed to assess clinically important differences between treatments to prevent postpartum haemorrhage.

methodsThe authors explore the nature of postpartum blood loss distribution, assuming that the physical properties of blood loss lead to a lognormal distribution. Data from four clinical trials and one observational study are used to confirm this empirically. Estimates of probabilities of postpartum haemorrhage events 'blood loss greater than a cutoff point' and relative risks are obtained from the fitted lognormal distributions. Confidence intervals for relative risk are obtained by bootstrap techniques.

resultsA variant of the lognormal distribution, the three-parameter lognormal distribution, showed an excellent fit to postpartum blood loss data of the four trials and the observational study. A measurement quality assessment showed that problems of digit preference and lower limit of detection were well handled by the lognormal fit. The analysis of postpartum haemorrhage events based on a lognormal distribution improved the efficiency of the estimates. Sample size calculation for a hypothetical future trial showed that the application of this procedure permits a reduction of sample size for treatment comparison.

conclusionA variant of the lognormal distribution fitted very well postpartum blood loss data from different geographical areas, suggesting that the lognormal distribution might fit postpartum blood loss universally. An approach of analysis of postpartum haemorrhage events based on the lognormal distribution improves efficiency of estimates of probabilities and relative risk, and permits a reduction of sample size for treatment comparison.

trial registrationThis paper reports secondary analyses for trials registered at Australian New Zealand Clinical Trials Registry (ACTRN 12608000434392 and ACTRN12614000870651); and at clinicaltrials.gov (NCT00781066).

Indexed as

Clinical Trials as TopicModels, TheoreticalFemaleHumansPostpartum HemorrhagePostpartum PeriodPregnancySeverity of Illness IndexBlood loss distributionClinical trialsDigit preferenceLimit of detection of blood loss measuresLognormalPostpartum blood lossPostpartum haemorrhage

Identifiers

PMID30514326
PMCPMC6280488
OpenAlexW2902933617

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.