Evidence map›Paper›PMID 42058942›Full record

ArticleJournal of pediatrics. Clinical practice2026

First-Year Mortality in Infants Born Moderately Preterm and Late Preterm: A National Register Study.

Kati Kallio, Riitta Ojala, Tiina Luukkaala, Outi Tammela

Abstract read
In one paragraph

Article in Journal of pediatrics. Clinical practice, 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.

Kati KallioDoctoral Program in Medicine, Tampere University, Tampere, Finland.
Riitta OjalaTampere Center for Child Health Research, Tampere University, Tampere, Finland.
Tiina LuukkaalaResearch, Development, and Innovation Center, Tampere University, Tampere, Finland.
Outi TammelaTampere Center for Child Health Research, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate first-year mortality and predictors and causes of death in infants born moderately preterm (MP; birth at 32 Study design: Data on all infants (n = 1 546 787) born in Finland between 1991 and 2016 were collected from national registers. Of those born prematurely (5.9%), infants born MP and LP accounted for 85,9%. Results: Early, late, and postneonatal mortality decreased with advancing gestational age. Despite overall declines, early neonatal mortality remained significantly greater in infants born MP and LP than in infants born at term. Over time, early neonatal mortality decreased only in MP and LP groups, whereas first-year mortality declined in infants born MP and LP. Predictors of death in all mortality categories in infants born MP and LP included small for gestational age, low Apgar score, and ventilator treatment. Some regional and hospital-level differences in early neonatal mortality were observed. Causes of death in infants born MP and LP resembled those of term more than infants born very preterm, with congenital anomalies being the most common, albeit not easily preventable causes of death. Conclusions: Infants born MP and LP had an elevated risk of early neonatal mortality compared with infants born at term. Continued reductions may be achieved by targeting preventable causes such as asphyxia and respiratory distress, while counseling-based interventions may help prevent sudden infant death syndrome and reduce late neonatal and postneonatal mortality.

Indexed as

causes of deathearly neonatal mortalitylate neonatal mortalitylate pretermmoderately pretermpostneonatal mortalitypredictors of mortality

Identifiers

PMID42058942
PMCPMC13122826

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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.