Evidence map›Paper›PMID 42656538›Full record

ArticleFrontiers in public health2026

Gestational age, birthweight, and maternal factors associated with neonatal mortality in the United States.

Lin Wang, Xiaoling Shen, Qingjun Li, Lihong Hao

Abstract read
In one paragraph

Article in Frontiers in 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.

Lin Wang *Department of Neonatal Internal Medicine, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin, China.
Xiaoling Shen *Department of Neonatal Internal Medicine, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin, China.
Qingjun LiDepartment of Vascular Diseases, Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China.
Lihong HaoDepartment of Neonatal Internal Medicine, Tianjin Children's Hospital (Children's Hospital, Tianjin University), Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal mortality remains a key indicator of maternal and infant health and continues to show substantial variation across demographic and clinical groups in the United States. A clearer understanding of nonlinear associations and effect modification may help characterize epidemiologic patterns of neonatal mortality and inform perinatal prevention efforts. Methods: We conducted a population-based retrospective cohort study using the U.S. Linked Birth-Infant Death Database from 2015 to 2020. Neonatal mortality was defined as death occurring from day 0 through day 27 after live birth, inclusive. The study included 22,184,639 live births, among which 77,523 neonatal deaths were identified. Multivariable logistic regression was used to estimate adjusted odds ratios and 95% confidence intervals. Restricted cubic splines were used to characterize nonlinear associations, and subgroup analyses were conducted to evaluate potential effect heterogeneity. Results: Among 22,184,639 live births, 77,523 neonatal deaths occurred, corresponding to a neonatal mortality rate of 0.35%. Preterm birth was strongly associated with neonatal mortality (aOR, 4.81; 95% CI, 4.62-5.04), as was low birthweight (aOR, 5.21; 95% CI, 5.04-5.45). Late or absent prenatal care was associated with higher odds of neonatal mortality (aOR, 1.70; 95% CI, 1.60-1.82), as were non-Hispanic Black race/ethnicity (aOR, 1.45; 95% CI, 1.38-1.53), maternal smoking (aOR, 1.35; 95% CI, 1.28-1.43), hypertensive disorders of pregnancy (aOR, 1.22; 95% CI, 1.15-1.31), and male infant sex (aOR, 1.12; 95% CI, 1.08-1.16). Restricted cubic spline analyses showed nonlinear associations for both gestational age and birthweight, with the lowest mortality odds near 39-40 weeks and approximately 3,200-3,600 g. Conclusion: In this nationwide observational cohort, gestational age, birthweight, and several maternal and infant characteristics were associated with neonatal mortality. The identified nonlinear patterns and subgroup differences may help characterize population-level mortality gradients and identify groups with comparatively elevated risk, although causal inferences cannot be made.

Indexed as

Birth WeightGestational AgeInfant MortalityAdultFemaleHumansInfantInfant, NewbornMalePregnancyRetrospective StudiesRisk FactorsUnited Statesbirth weightgestational agematernal risk factorsneonatal mortalitypopulation-based studyprenatal care

Identifiers

PMID42656538
PMCPMC13506870

What OpenQuestion holds

Textmetadata
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.