Evidence map›Paper›PMID 39360873›Full record

ReviewPediatric pulmonology2025

Integrating genomics as clinical biomarkers in pediatric pulmonology.

Erick Forno

Abstract readReview
In one paragraph

Review in Pediatric pulmonology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Prognostic utility of pre-biologic treatment correlates of childhood severe asthma exacerbation risk: Real world evidence.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
  2. Review
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

1 author.

Erick FornoDepartment of Pediatrics, Indiana University School of Medicine and Riley Hospital for Children, Indianapolis, Indiana, USA.ORCID http://orcid.org/0000-0001-6497-9885

Funding

None
6 · The paper itself

Abstract

Respiratory diseases often result from complex interactions between an individual's genetic predisposition and their exposure to various environmental and other risk factors. Here we will briefly review how various types of "omics", particularly epigenomics and transcriptomics, hold promise for translation into clinical biomarkers in pediatric pulmonary medicine, using asthma and cystic fibrosis as examples.

Indexed as

AsthmaCystic FibrosisGenomicsPulmonary MedicineBiomarkersChildEpigenomicsGenetic Predisposition to DiseaseHumansPediatricsBiomarkersasthmacystic fibrosisgenomicstranscriptomics

Identifiers

PMID39360873
PMCPMC11921082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.