Evidence map›Paper›PMID 42404003›Full record

ReviewJournal of inflammation research2026

Biomarkers for Pediatric Acute Respiratory Distress Syndrome: A Systematic Review.

Fuxiang Yang, Jiahuan Zou, Ling Zheng, Cheng Zeng, Hongbo Xu, Jun Yang

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 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.

Fuxiang Yang *Department of Neonatology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.
Jiahuan Zou *Nursing Department, Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.
Ling Zheng *Department of Pediatrics, The Second Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.
Cheng ZengDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.
Hongbo XuDepartment of Pediatrics, Affiliated Hospital of Zunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.
Jun YangZunyi Medical University, Zunyi City, Guizhou Province, 563000, People's Republic of China.ORCID 0009-0007-7573-4809

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Pediatric acute respiratory distress syndrome (PARDS) is a common and severe complication in critically ill children, significantly impacting both short-term and long-term outcomes. Diagnosis currently relies on the Berlin definition; however, the applicability of existing diagnostic criteria across different clinical settings remains challenging, particularly in pediatric populations, hindering early recognition and clinical implementation. Biomarkers have demonstrated potential in PARDS diagnosis, prediction, and prognosis assessment, but a systematic synthesis of existing evidence remains lacking. Methods: We systematically searched PubMed, Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, SinoMed, and Scopus from their inception to September 12, 2025. Study quality was assessed using the Revised Newcastle-Ottawa Scale and the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Data extraction included study characteristics, biomarker names, research objectives, sample types, sampling time points, biomarker types, PARDS diagnostic criteria, and outcome measures. Results: A total of 4889 publications were screened, with 9 studies of moderate to high quality (score >6) ultimately included, involving 759 critically ill children (median age range: 1.8-14.7 years; 641 [63.8%] male). Nine biomarkers were identified and categorized into four mechanisms: epithelial injury (CC16), stress response (Glypican-4, nucleosomes), inflammatory response (Gal-3BP, miR-424, mirR-21, HBP, PGRN), and endothelial injury (VWF). Six biomarkers demonstrated strong predictive and diagnostic capabilities (AUC > 0.80), while the remaining three showed moderate efficacy (AUC 0.60-0.80). Conclusion: Although the nine biomarkers demonstrate potential in PARDS assessment, their clinical utility remains inconsistent. Future large-scale, multicenter prospective validation studies are needed. Combining advanced technologies to optimize existing biomarkers and explore new candidates will enhance the prediction, diagnosis, and management of PARDS.

Indexed as

biomarkersdiagnosisPARDSpredictionprognosissystematic review

Identifiers

PMID42404003
PMCPMC13332779

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.