Evidence map›Paper›PMID 40727011›Full record

ArticleEClinicalMedicine2025

Optimal timing and mode of planned birth for term, large infants: a retrospective, population-based cohort study.

Georgia Anne Santomartino, Kylie Crawford, Jesrine Hong, Sailesh Kumar

Abstract read
In one paragraph

Article in EClinicalMedicine, 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. Article
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.

Georgia Anne SantomartinoMater Research Institute, University of Queensland, Level 3, Aubigny Place, Raymond Terrace, South Brisbane, Queensland, 4101, Australia.
Kylie CrawfordMater Research Institute, University of Queensland, Level 3, Aubigny Place, Raymond Terrace, South Brisbane, Queensland, 4101, Australia.
Jesrine HongMater Research Institute, University of Queensland, Level 3, Aubigny Place, Raymond Terrace, South Brisbane, Queensland, 4101, Australia.
Sailesh KumarMater Research Institute, University of Queensland, Level 3, Aubigny Place, Raymond Terrace, South Brisbane, Queensland, 4101, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large infants (birthweight > 75th centile) are at increased risk of mortality, severe neonatal neurological and non-neurological morbidity. We aimed to ascertain the optimal method and gestation of planned birth (scheduled caesarean section or induction of labor) that were associated with lower odds of adverse outcomes. Methods: This was a retrospective cohort study of term singleton births with birthweight >75th centile between January 2000 and December 2021 in Queensland, Australia. Primary outcomes were severe adverse maternal outcome, perinatal mortality (intrapartum stillbirth or neonatal death), severe neonatal neurological morbidity, and other severe neonatal morbidity. Multivariable logistic regression models were built to determine odds ratios (OR) for the effect of timing of both methods of planned birth on adverse outcomes. Induction of labor at 38 Findings: There were 151,464 planned births for large infants. 86,515 (57.1%) were induction of labor while 64,949 (42.9%) were scheduled caesarean section. Compared to induction of labor at 38 Interpretation: In our cohort, scheduled caesarean section between 39 Funding: National Health and Medical Research Council and Mater Foundation.

Indexed as

Caesarean sectionInduction of laborLarge for gestational ageMacrosomiaNeonatal morbidityPerinatal mortalityPregnancy

Identifiers

PMID40727011
PMCPMC12302999

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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.