Evidence map›Paper›PMID 42442658›Full record

Observational studyThe Journal of pediatrics2026

Trends in Postmenstrual Age at Discharge and Predictive Factors Among a Contemporary Cohort of Infants Born Preterm.

Sara C Handley, Heather H Burris, Melissa Schmatz, Evan Miller, Justin Y Lo, Lindsey A Knake, Moeun Son, Kathryn M McKenney, Jennifer F Culhane, Jay Greenspan and 1 more

Abstract readObservational Study
In one paragraph

Observational study in The Journal of pediatrics, 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
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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

11 authors.

Sara C HandleyDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, PA. Electronic address: handleys@chop.edu.
Heather H BurrisDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia, PA.
Melissa SchmatzDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Evan MillerNemours Children's Health System, Wilmington, DE.
Justin Y LoKFF, San Francisco, CA; Yale School of Medicine, New Haven, CT.
Lindsey A KnakeDivision of Neonatology, Department of Pediatrics, University of Iowa, Iowa City, IA; Heath Care Information Systems, University of Iowa Hospitals and Clinics, Iowa City, IA.
Moeun SonWeill Cornell Medical College, New York, NY.
Kathryn M McKenneyUniversity of Colorado School of Medicine, Aurora, CO.
Jennifer F CulhaneYale School of Medicine, New Haven, CT.
Jay GreenspanDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA.
Kevin DysartDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.

Funding

The impact of delivery hospital organizational structure and culture on perinatal outcomesK23HD109426 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Sara Christine Handley · 2023 to 2026
$621k
NICHD NIH HHS K23 HD109426
6 · The paper itself

Abstract

objectiveTo evaluate contemporary trends in postmenstrual age (PMA) at discharge among infants born at 23-33 completed weeks' gestation and to examine which factors predict discharge PMA by birth gestational age (GA). STUDY

designThis retrospective, observational cohort study used Epic Systems Cosmos data. Infants born from January 1, 2017 to December 31, 2023, at 23 + 0 to 33 + 6 weeks' gestation, who were not transferred and survived to discharge were included. We examined discharge PMA annually stratified by birth GA categories (23-24, 25-26, 27-28, 29-30, and 31-33 weeks) and assessed trends using linear mixed models. Random forest models examined factors predicting discharge PMA.

resultsMedian discharge PMA increased over the study period by 3.4 days (95% CI: 3.1-3.8). Trends varied by GA, with the highest increase of 6.4 days (95% CI: 2.1-10.8) for infants born at 23-24 weeks and the lowest 2.3 days (95% CI: 1.8-2.6) for infants born at 31-33 weeks. Among all infants, the 3 most important factors predicting discharge PMA were: GA, bronchopulmonary dysplasia (BPD) diagnosis, and mechanical ventilation. When examining factors by GA category, the 3 most important factors for infants born at 23-24 weeks were: BPD diagnosis, birth hospital unit, and ventilation; for infants born at 31-33 weeks, they were ventilation, caffeine administration, and BPD diagnosis. Unit was also predictive of discharge PMA in all GA categories.

conclusionsMedian discharge PMA increased among all infants born preterm. Although indicators of illness were expected predictors of discharge PMA, the importance of unit on discharge PMA within GA strata suggests that practice variation plays a significant role in discharge timing.

Indexed as

Gestational AgeInfant, PrematurePatient DischargeFemaleHumansInfant, NewbornIntensive Care Units, NeonatalMaleRetrospective Studieshospital dischargelength of stayneonatal intensive care unitpractice variationprematurity

Identifiers

PMID42442658
PMCPMC13636005

What OpenQuestion holds

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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.