Evidence map›Paper›PMID 40797023›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2025

Categorizing weight growth of infants born before 32 weeks' gestation using the 2023 postnatal growth charts for preterm infants.

Fu-Sheng Chou, Hung-Wen Yeh, Crystal Hsueh, Jing Zhang, Maria Fe B Villosis, Karine Barseghyan, Ashwini Lakshmanan, Reese H Clark

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2025. 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

8 authors.

Fu-Sheng ChouSouthern California Permanente Medical Group, Pasadena, CA, USA. Fu-Sheng.X.Chou@kp.org.ORCID http://orcid.org/0000-0002-5770-0580
Hung-Wen YehDivision of Health Services and Outcomes Research, Children's Mercy Research Institute, Kansas City, MO, USA.ORCID http://orcid.org/0000-0002-9904-3275
Crystal HsuehUniversity of California, Los Angeles, Los Angeles, CA, USA.
Jing ZhangDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Maria Fe B VillosisSouthern California Permanente Medical Group, Pasadena, CA, USA.
Karine BarseghyanSouthern California Permanente Medical Group, Pasadena, CA, USA.
Ashwini LakshmananKaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
Reese H ClarkCenter for Research, Education, Quality and Safety, Pediatrix Medical Group, Sunrise, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo categorize growth and correlate growth categories with morbidities in infants born before 32 weeks of gestation. STUDY

designThis retrospective study categorized weight growth by correlating mean growth velocity (GV) with growth trajectory z-score changes (

resultsWeight gain of infants without morbidities was categorized into three groups based on correlating

conclusionUsing the 2023 Postnatal Growth Charts for Preterm Infants, this study presents an alternative method for weight growth categorization.

Indexed as

Growth ChartsInfant, PrematureWeight GainBronchopulmonary DysplasiaFemaleGestational AgeHumansInfant, NewbornMaleRetinopathy of PrematurityRetrospective Studies

Identifiers

PMID40797023
PMCPMC12717005

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LicenceCC BY-NC-ND
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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.