Evidence map›Paper›PMID 41790844›Full record

ArticlePLOS global public health2026

Neonatal near miss in a State of Northeastern Brazil: Near miss characterization and determinants.

Daiane Porto Nery, Amanda Cristina de Souza Andrade, Daniela Silva Rocha, Vanessa Moraes Bezerra

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Daiane Porto NeryFederal University of Bahia, Multidisciplinary Institute of Health, Vitória da Conquista, Bahia, Brazil.ORCID https://orcid.org/0009-0001-0794-0690
Amanda Cristina de Souza AndradeRené Rachou Institute, Oswaldo Cruz Foundation (FIOCRUZ-Minas), Belo Horizonte, Minas Gerais, Brazil.ORCID https://orcid.org/0000-0002-3366-4423
Daniela Silva RochaFederal University of Bahia, Multidisciplinary Institute of Health, Vitória da Conquista, Bahia, Brazil.
Vanessa Moraes BezerraFederal University of Bahia, Multidisciplinary Institute of Health, Vitória da Conquista, Bahia, Brazil.ORCID https://orcid.org/0000-0001-5333-2875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate neonatal near miss (NNM) in a state in northeastern Brazil and to identify possible sociodemographic, obstetric, childbirth, and healthcare-related determinants. This cohort study of live births was conducted from 2012 to 2020 in Bahia, Brazil (n = 1,821,384), using data retrieved from national health information systems (Live Birth Information System and Mortality Information System). The criteria for defining NNM were gestational age < 32 weeks, birth weight <1,500 grams, 5-minute Apgar score <7, and congenital malformations. Logistic regression models with hierarchical entry of variables were adjusted, and the odds ratio was estimated with 95% confidence intervals. The NNM rate was 30.4/1,000 LB. The following risk factors for NNM were identified: newborn sex (male); maternal age (10-19 years and 35 years or older); low maternal schooling; not having a partner; having one or more fetal losses/miscarriages; multiple pregnancies; having had fewer than six prenatal care appointments; absence of labor induction; having had a cesarean section and non-cephalic fetal presentation. The protective factors for NNM were being primiparous and having had one or more previous vaginal or cesarean deliveries. The NNM rate was associated with sociodemographic, obstetric, childbirth, and healthcare factors. Addressing this complex event requires include everything from breaking down social disparities to a robust health system that responds to calls for treatment and rehabilitation and consistently working on promotion and prevention actions in maternal and child health.

Identifiers

PMID41790844
PMCPMC12965687

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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.