Evidence map›Paper›PMID 41166342›Full record

Observational studyPloS one2025

Gestational age, birth weight, and infant 1-year mortality risk: A large-scale analysis of 6.9 million births from the Japanese National registry.

Miho Sassa, Ayaka Monoi, Yayoi Murano, Utako Kondo, Hiromichi Shoji, Daisuke Yoneoka

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Miho SassaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Ayaka MonoiNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Yayoi MuranoDepartment of Pediatrics, Juntendo University, Faculty of Medicine, Tokyo, Japan.
Utako KondoDepartment of Neonatology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Hiromichi ShojiDepartment of Pediatrics, Juntendo University, Faculty of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2532-8910
Daisuke YoneokaNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3525-5092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundJapan's low infant mortality rates (IMR) reflect advancements in neonatal care. However, a comprehensive understanding of factors influencing long-term infant mortality nationwide is lacking. We examined the 1-year relationships between gestational age (GA), birth weight, small-for-gestational-age (SGA) status, and infant mortality risk.

objectiveThis study aimed to estimate the 1-year survival probability of infants stratified by GA, birth weight and SGA status.

methodsThis study is an observational study using Japan's vital registration data between 2012 and 2018. Whole national birth and death registration data was analyzed. 6,918,305 births and 12,440 deaths within the first year of age were included. The main outcome is 1-year infant mortality and survival curve.

resultsInfants born preterm, and SGA exhibited elevated mortality rates (15 and 8.5 per 1,000, respectively). Survival probability varied significantly based on GA, birth weight, and SGA status. Overall 1-year mortality risk was 1.8 per 1,000 live births with survival probabilities notably increasing with GA. Late preterm and early term births also exhibited increased mortality risks compared to full term infants (e.g., 2.2 per 1,000 live births if born at 37 weeks vs 0.76 at 39 weeks). Notably, late preterm births constituted the majority of preterm births and were associated with major mortality risks.

conclusionsThis study, extending beyond previous short-term research, provides insights into long-term infant mortality risks in Japan, underscoring the importance of gestational age, birth weight, and SGA status in infant mortality risk among live births. Further study to elucidate the reasons behind pregnancy termination decisions and the specifics of antenatal and neonatal care is needed to better understand the factors influencing infant mortality.

Indexed as

Birth WeightGestational AgeInfant MortalityFemaleHumansInfantInfant, NewbornInfant, PrematureInfant, Small for Gestational AgeJapanMaleRegistriesRisk Factors

Identifiers

PMID41166342
PMCPMC12574836

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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.