Evidence map›Paper›PMID 41437233›Full record

SynthesisBMC pregnancy and childbirth2025

Global prevalence of neonatal mortality in preterm infants: a systematic review and meta-analysis.

Isabela Cristina Santos Freire de Paula, Caroline Souza Dos Santos, Renata Iani Werneck, Cristiano Miranda de Araujo, Ádelin Olívia Lopes Joly Rodrigues, Angela Leite Mendes, Everson Ribeiro de Lima, Michelle de Fatima Tavares Alves, Mario Vianna Vettore, Samuel Jorge Moysés and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

11 authors.

Isabela Cristina Santos Freire de PaulaPontifícia Universidade Católica do Paraná, Graduate Program in Dentistry, R. Imac. Conceição, 1155 - Prado Velho, Curitiba, PR, Brazil. isabelafreirep@gmail.com.ORCID http://orcid.org/0000-0001-6996-0673
Caroline Souza Dos SantosPontifícia Universidade Católica do Paraná, Graduate Program in Dentistry, R. Imac. Conceição, 1155 - Prado Velho, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0001-8669-619X
Renata Iani WerneckSchool of Life Sciences, Universidade Católica do Paraná, R. Imac. Conceição, 1155 - Prado Velho, Curitiba, PR, Brazil. renata.iani@pucpr.br.ORCID http://orcid.org/0000-0003-1134-5357
Cristiano Miranda de AraujoSchool of Dentistry, Universidade Tuiuti do Paraná, R. Padre Ladislau Kula, 395 - Santo Inácio, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0003-1325-4248
Ádelin Olívia Lopes Joly RodriguesPontifícia Universidade Católica do Paraná, Graduate Program in Dentistry, R. Imac. Conceição, 1155 - Prado Velho, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0003-3883-0010
Angela Leite MendesCuritiba Municipal Health Department, R. Francisco Torres, 830 - Centro, Curitiba, PR, Brazil.ORCID http://orcid.org/0009-0000-1134-8393
Everson Ribeiro de LimaSpecialization in Public Health, Curitiba Municipal Health Department, R. Francisco Torres, 830 - Centro, Curitiba, PR, Brazil.ORCID http://orcid.org/0009-0009-5594-8513
Michelle de Fatima Tavares AlvesMaster in Collective Health, Curitiba Municipal Health Department. R. Francisco Torres, 830 - Centro, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0002-9587-4813
Mario Vianna VettoreEpidemiology and Public Health, Department of Dentistry and Oral Health, Aarhus University, , Nordre Ringgade 1, 8000 Aarhus C, Aarhus, 8000, Denmark.ORCID http://orcid.org/0000-0001-6299-4432
Samuel Jorge MoysésEpidemiology & Public Health, Collective Health Department, Universidade Federal do Paraná, R. Padre Camargo, 280 - Alto da Glória, Curitiba, PR, Brazil.ORCID http://orcid.org/0000-0003-3075-6397
Juliana Schaia Rocha OrsiSchool of Life Sciences, Pontifícia Universidade Católica do Paraná, R. Imac. Conceição, 1155 - Prado Velho, Curitiba, PR, Brazil. juliana.orsi@pucpr.br.ORCID http://orcid.org/0000-0001-7056-7422

Funding

Research Program for SUS: Shared Health Management - PPSUS (MS, CNPq, Fundação Araucária, and SESA-PR) 018/2021
6 · The paper itself

Abstract

backgroundThe leading cause of neonatal mortality is preterm birth, with the risk of death in the first days of life increasing as the gestational age decreases. The objective was to estimates the global prevalence of neonatal mortality in preterms through a systematic review and meta-analysis of cohort studies.

methodsObservational cohort studies were included irrespective of temporal or linguistic confines. Studies reporting the prevalence of newborns delivered before 37 complete weeks of gestation, with deaths within 28 days postpartum, were included. The bibliographic search and selection were conducted across multiple databases, including PubMed/Medline, SciVerse Scopus, Web of Science, CINAHL Information Systems, Scientific Electronic Library Online, EMBASE, Latin American and Caribbean Health Sciences Literature and gray literature. Quality assessment was carried out using the Joanna Briggs Institute appraisal tool. Meta-analysis was conducted utilizing RStudio software.

resultsA total of 47 articles were included. Of them, 29 studies analyzed general preterm birth (delivery before 37 complete weeks of gestation), three studies evaluated extremely preterm (< 28 weeks), seven studies assessed very preterm (28 to less than 32 weeks), and five studies examined moderate to late preterm infants (32 to 37 weeks). The pooled prevalence of neonatal mortality was 8%. When considering only the subgroup of general preterm, the mortality rate was 10%. Extremely preterm infants had a mortality rate of 40%, very preterm infants had a rate of 15%, and moderate to late preterm infants had a mortality rate close to 0%. High heterogeneity was found (I² = 100%; Q-test p = 0; wide prediction interval). Meta-regression analyses were conducted to examine the observed heterogeneity. Factors such as Human Development Index and admission to NICUs influenced neonatal mortality. In terms of quality assessment, 89.1% of the studies were considered adequate in representing the target population. Regarding sample size, 30.4% of studies lacked calculations, hindering evaluation.

conclusionThe prevalence of neonatal mortality was 8 per 100 premature births. The prevalence of neonatal mortality varied according to gestational age at birth. These data should be interpreted with caution as it was not possible to identify all sources of heterogeneity in the meta-analysis.

Indexed as

Global HealthInfant MortalityInfant, PrematurePremature BirthFemaleGestational AgeHumansInfantInfant, NewbornPregnancyPrevalenceMeta-AnalysisMortalityPremature infantPrevalenceSystematic review

Identifiers

PMID41437233
PMCPMC12729231

What OpenQuestion holds

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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.