Evidence mapPaperPMID 41970196Full record

ReviewChinese medical journal pulmonary and critical care medicine2026

Asthma endotypes and theratypes.

Ioana Agache, Shengjie Li, Yang Zheng, Yadong Gao

Abstract readReview
In one paragraph

Review in Chinese medical journal pulmonary and critical care 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

4 authors.

Ioana AgacheTransylvania University of Brasov, Faculty of Medicine, Brasov 500051, Romania.
Shengjie LiDepartment of Allergy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.
Yang ZhengDepartment of Allergy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.
Yadong GaoDepartment of Allergy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The model of asthma as a single entity has now been replaced by a much more complex biological network of distinct and interrelating inflammatory and tissue driven pathways. Individual disease manifestations (phenotypes), pathogenetic pathways (endotypes) and response to therapy (theratypes) are discussed here in the context of current stratified management of asthma in the clinic based on biomarkers measured at the point-of-care. As the current classification criteria result in significant overlaps among phenotypes, endotypes and theratypes, this paper further describes the advantage of combining precision immunology, imaging and the digital biomarkers in an unbiased approach offered by machine learning. The new European Academy of Allergy and Clinical Immunology (EAACI) nomenclature for hypersensitivity reaction is detailed as a basis for the stratified asthma management with a special focus on tissue-driven mechanisms (type V asthma), metabolic/microbiome/epigenetic/neurogenic mechanisms (type VI asthma) and direct cellular activation (type VII asthma).

Indexed as

AsthmaBiomarkersEndotypeMachine learningPrecision immunologyTheratype

Identifiers

PMID41970196
PMCPMC13063285

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.