Evidence map›Paper›PMID 42547526›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2026

Gestational age-specific metabolic biomarkers for early prediction of bronchopulmonary dysplasia following standardized enteral feeding.

Pingjiao Gu, Yang Yang, Jipeng Shi, Weiji Li, Qiaoyi Shao, Yiheng Dai

Abstract read
PubMed Publisher
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. 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

6 authors.

Pingjiao Gu *Jinan University, Guangzhou, China.ORCID http://orcid.org/0009-0004-2953-656X
Yang Yang *Department of Neonatology, Guangdong Women and Children Hospital, Guangzhou, China.ORCID http://orcid.org/0000-0002-2349-3800
Jipeng ShiDepartment of Neonatology, the Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.
Weiji LiDepartment of Neonatology, the Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China.ORCID http://orcid.org/0009-0006-3373-8257
Qiaoyi ShaoDepartment of Neonatal Disease Screening Center, the Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China. shaoqiaoyi2006@163.com.
Yiheng DaiDepartment of Neonatology, the Affiliated Foshan Women and Children Hospital, Guangdong Medical University, Foshan, China. 18038831721@163.com.ORCID http://orcid.org/0009-0008-4303-8427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly prediction of Bronchopulmonary dysplasia (BPD) remains challenging. Utilizing the NRN 2019 definition and a standardized feeding protocol, this study aimed to identify gestational age (GA)-specific metabolic signatures to optimize early prediction.

methodsThis retrospective study enrolled 455 preterm infants (GA < 32 weeks). Dried blood spots collected at ~14 days postnatal age following standardized nutritional management were analyzed for 83 metabolites via LC-MS/MS to construct GA-stratified predictive models.

resultsDistinct GA-specific metabolic signatures involving specific amino acid and acylcarnitine alterations were identified. Incorporating these biomarkers significantly improved predictive models compared to baseline clinical models: the AUC increased from 0.765 to 0.852 in the GA < 28 weeks subgroup, and from 0.629 to 0.707 in the GA 28-31

conclusionsPost-standardized feeding metabolic profiling at 2 weeks captures distinct GA-specific alterations. Integrating these biomarkers with NRN 2019 criteria significantly enhances early BPD prediction, offering clinical utility for targeted risk stratification.

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.