Evidence map›Paper›PMID 42414580›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Perinatal prediction of mortality for neonates born at 22-25 weeks gestation.

Xuxin Chen, Tianyao Lu, Davide De Francisco, Jeffrey B Gould, Susan R Hintz, Deirdre J Lyell, Xiao Xu, Lillian Sie, Matthew A Rysavy, Nima Aghaeepour and 1 more

Erratum issuedAbstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

11 authors.

Xuxin ChenDivision of Neonatology, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian, New York, NY, USA. xc2663@cumc.columbia.edu.ORCID http://orcid.org/0000-0001-8898-163X
Tianyao LuDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Davide De FranciscoDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Jeffrey B GouldDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8495-077X
Susan R HintzDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7023-4433
Deirdre J LyellDepartment of Obstetrics & Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
Xiao XuDepartment of Obstetrics & Gynecology, Columbia University Vagelos College of Physicians and Surgeons and New York Presbyterian, New York, NY, USA.
Lillian SieDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0069-5028
Matthew A RysavyDivision of Neonatology, Department of Pediatrics, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1209-6607
Nima AghaeepourDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6117-8764
Henry C LeeDivision of Neonatology, Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0001-8383-1720

Funding

Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01HD098287
6 · The paper itself

Abstract

objectiveTo predict mortality of 22-25 weeks' gestation neonates in a population-based cohort using characteristics available at birth. STUDY

designThis observational study included 8981 actively treated 22-25 weeks' gestation infants born between 2008 and 2018 at CPQCC hospitals. Proposed models were used to relate maternal, infant, and birth hospital factors to the primary outcome of death before hospital discharge. These models were compared based on predictive discrimination and calibration.

resultsDeath before hospital discharge occurred in 2824 (32%) infants. In addition to the five factors in the NICHD model, we found two additional variables, receipt of prenatal care and maternal age, were associated with death. The c-statistics ranged from 0.72 to 0.75 across all models. When compared to the NICHD 5-factor model, our models showed similar discrimination.

conclusionWe found additional factors to the NICHD 5-factor model associated with death before hospital discharge, although these factors did not improve prediction performance.

Identifiers

PMID42414580

What OpenQuestion holds

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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.