Evidence map›Paper›PMID 29945633›Full record

ArticleReproductive health2018

Prevention of postpartum haemorrhage: a distributional approach for analysis.

Gilda Piaggio, José Ferreira de Carvalho, Fernando Althabe

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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

3 authors at 2 institutions in 2 countries.

Gilda PiaggioStatistika Consultoria, Campinas, São Paulo, Brazil. gilda.piaggio@gmail.com.
José Ferreira de CarvalhoStatistika Consultoria, Campinas, São Paulo, Brazil.
Fernando AlthabeInstitute for Clinical Effectiveness and Health Policy (IECS-CONICET), Department of Mother & Child Health Research, Buenos Aires, Argentina.
Elabora Consultoria (Brazil) · BRInstituto de Efectividad Clínica y Sanitaria · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is empirical evidence that measured postpartum blood loss has a lognormal distribution. This feature can be used to analyze events of the type 'blood loss greater than a certain cutoff point' using a lognormal approach, which takes into account all the quantitative observations, as opposed to dichotomizing the variable blood loss volume into two categories. This lognormal approach uses all the information contained in the data and is expected to provide more efficient estimates of proportions and relative risk when comparing treatments to prevent postpartum haemorrhage. As a consequence, sample size can be reduced in clinical trials, while keeping the statistical precision requirements.

methodsThe authors illustrate how a lognormal approach can be used in this situation, using data from a clinical trial and the event 'blood loss greater than 1000 mL'.

resultsEstimates of the proportions of this event for each treatment, and relative risks obtained with this method are presented and compared with the standard estimates obtained by dichotomizing measured blood loss volume. An example of how the blood loss distributions of two treatments can be compared is also presented. Different scenarios of the sample size needed to compare two treatments or interventions are presented to illustrate how with the lognormal approach the size of a clinical trial can be reduced.

conclusionsA distributional approach for postpartum blood loss using the lognormal distribution fitted to the data results in more precise estimates of risks of events and relative risks, compared to the use of binomial proportions of events. It also results in reduced required sample size for clinical trials.

trial registrationThis paper reports a secondary analysis for a trial that was registered at clinicaltrials.gov ( NCT00781066 ).

Indexed as

FemaleHumansPostpartum HemorrhagePregnancySample SizeLognormal distributionPostpartum blood lossPostpartum haemorrhageSevere postpartum haemorrhage

Identifiers

PMID29945633
PMCPMC6020008
OpenAlexW2808945647

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.