Evidence map›Paper›PMID 41598844›Full record

ReviewJournal of clinical medicine2026

Beyond the Usual Suspects: Unmasking Low-T2 Asthma in Children.

Iva Mrkić Kobal, Marta Navratil, Helena Munivrana Škvorc, Andrija Miculinić, Davor Plavec

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 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

5 authors.

Iva Mrkić KobalChildren's Hospital Srebrnjak, 10000 Zagreb, Croatia.ORCID 0000-0003-4016-4504
Marta NavratilMedical Faculty, University of Osijek, 31000 Osijek, Croatia.
Helena Munivrana ŠkvorcChildren's Hospital Srebrnjak, 10000 Zagreb, Croatia.ORCID 0000-0003-4508-5530
Andrija MiculinićChildren's Hospital Srebrnjak, 10000 Zagreb, Croatia.ORCID 0000-0002-7901-7571
Davor PlavecMedical Faculty, University of Osijek, 31000 Osijek, Croatia.ORCID 0000-0003-2020-8119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundT2 low asthma in children is an emerging yet underexplored endotype that challenges traditional views of type 2 inflammation. Recent data suggest that it is more prevalent than previously thought and is defined by low type 2 biomarkers, non-allergic clinical profiles, and strong associations with modifiable comorbidities such as obesity, passive smoke exposure, and recurrent respiratory infections. This phenotype often shows a poor response to standard inhaled corticosteroid therapy and T2-targeted biologics, underscoring the urgent need for improved diagnostic and therapeutic approaches.

methodsThis narrative review conducted a literature search from PubMed and WoS databases (2020-2025), focusing on T2-low asthma defined by low blood eosinophils (<150-300/µL), FeNO (<20-25 ppb), and absent atopy in children under 18.

resultsThis review highlights the heterogeneity of T2-low asthma, including subtypes from neutrophilic/Th 17-high to paucigranulocytic airway remodeling and metabolic driven forms, as well as diagnostic challenges from biomarker supresssion by high-dose therapies. Pragmatic phenotyping algorithms using routine tests enable identification, directing comorbidity management over ineffective biologics.

conclusionsSystematic T2-low phenotyping in pediatric practice, alongside prospective studies and non-T2 therapy trials, promises precision medicine to enhance outcomes for these children, moving beyond eosinophil-centric care.

Indexed as

biomarkerschildrenendotypeneutrophilsT2-low asthmatherapy

Identifiers

PMID41598844
PMCPMC12842524

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.