Evidence map›Paper›PMID 36062397›Full record

Observational studyInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2023

Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.

Alicia Aleman, Mercedes Colomar, Valentina Colistro, Gisselle Tomaso, Claudio Sosa, Suzanne Serruya, Luis Andrés de Francisco, Alvaro Ciganda, Bremen De Mucio

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Predicting severe maternal outcomes in a network of sentinel sites in Latin-American countries.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Observational
  3. 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

9 authors at 5 institutions in 3 countries.

Alicia AlemanDepartment of Preventive and Social Medicine, School of Medicine, Udelar, Uruguay.ORCID https://orcid.org/0000-0002-9247-1031
Mercedes ColomarClinical and Research Unit (UNICEM), Montevideo, Uruguay.ORCID https://orcid.org/0000-0001-7424-5551
Valentina ColistroDepartment of Quantitative Methods, School of Medicine, Udelar, Uruguay.ORCID https://orcid.org/0000-0002-5727-4980
Gisselle TomasoClinical and Research Unit (UNICEM), Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-4424-1581
Claudio SosaLatin American Center for Perinatology, Women's Health, and Reproductive Health, (CLAP/WR), Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-2539-0848
Suzanne SerruyaLatin American Center for Perinatology, Women's Health, and Reproductive Health, (CLAP/WR), Montevideo, Uruguay.ORCID https://orcid.org/0000-0003-1371-4558
Luis Andrés de FranciscoFamily, Health Promotion, and Life Course, Pan American Health Organization-World Health Organization, Washington, DC, USA.ORCID https://orcid.org/0000-0002-0249-8530
Alvaro CigandaClinical and Research Unit (UNICEM), Montevideo, Uruguay.ORCID https://orcid.org/0000-0002-4291-6776
Bremen De MucioLatin American Center for Perinatology, Women's Health, and Reproductive Health, (CLAP/WR), Montevideo, Uruguay.ORCID https://orcid.org/0000-0003-0662-9742
RedCLARA · UYUniversidad de Montevideo · UYQuantitative BioSciences · USUniversitat Autònoma de Barcelona · ESWorld Health Organization Regional Office for the Americas · US

Funding

Pan American Health OrganizationWorld Health Organization 001
6 · The paper itself

Abstract

objectiveThis study aimed to determine incidences of potentially life-threatening conditions (PLTC), maternal near misses (MNM), and maternal deaths (MD) in women who gave birth in participating facilities, and to determine the probability that a pregnancy involving a PLTC would evolve into an MNM and/or an MD.

methodsThis was a multicentric observational study implemented on a maternal network from August 2018 to May 2019 in five Latin-American countries. We summarized categorical variables as frequencies and continuous variables with median, interquartile range, and standard deviations. Positive and negative likelihood ratios were calculated and multivariate predictive models were built.

resultsThere were 33 901 deliveries and miscarriages, of which 8.0% had at least one PLTC and 0.6% had an MNM. Hypertensive disorder was the most frequent condition to evolve into a severe maternal outcome.

conclusionIdentifying PLTC can help to prevent MNM and MD. The inclusion of these predictors in a real-time data registration system like the Perinatal Informatic System could work as a surveillance tool for early detection, leading to a reduction in the rate of worsening conditions.

Indexed as

Maternal DeathNear Miss, HealthcarePregnancy ComplicationsFamilyFemaleHumansMaternal MortalityPregnancyRacial GroupsLatin Americamaternal mortalitymaternal near misspotentially life-threatening conditionssevere maternal outcomes

Identifiers

PMID36062397
PMCPMC10087448
OpenAlexW4294598717

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.