Evidence map›Paper›PMID 41114082›Full record

ReviewChinese medical journal pulmonary and critical care medicine2025

The value of treatable traits across the spectrum of adult asthma severity.

Wenwen Wu, Vanessa M McDonald, Gang Wang, Peter Gerard Gibson

Abstract readReview
In one paragraph

Review in Chinese medical journal pulmonary and critical care medicine, 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. 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

4 authors.

Wenwen WuDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Vanessa M McDonaldCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New South Wales 2305, Australia.
Gang WangDepartment of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Peter Gerard GibsonCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, New South Wales 2305, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a heterogeneous condition characterized by diverse clinical phenotypes and variable treatment responses, underscoring the limitations of the traditional "one-size-fits-all" stepwise management paradigm. The treatable traits (TTs) approach, a precision medicine framework, targets individualized, clinically relevant characteristics spanning pulmonary, extrapulmonary, and behavioral domains. This review synthesizes current evidence on the prevalence and impact of TTs across the spectrum of asthma severity-mild, moderate, and severe. Although severe asthma is associated with a greater overall burden of TTs, patients with mild-to-moderate disease frequently present with substantial trait-related challenges, including persistent symptoms and exacerbations. Key traits, such as eosinophilic inflammation, fixed airflow limitation, obesity, gastroesophageal reflux disease, and psychological comorbidities, vary in prevalence yet exert influence across all severity strata. Super-traits, including T2 inflammation and suboptimal inhaler adherence, warrant prioritization owing to their broad therapeutic implications. Optimal implementation requires tailored strategies in both primary and tertiary care, supported by multidisciplinary collaboration, patient engagement, and resource-efficient diagnostic tools. While barriers include limited clinician awareness and integration into existing workflows, enablers such as decision aids and structured education can facilitate adoption. The TTs model represents a promising pathway toward personalized asthma care, with the potential to improve outcomes across all severities.

Indexed as

AsthmaAsthma severityTreatable traits

Identifiers

PMID41114082
PMCPMC12529570

What OpenQuestion holds

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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 OpenQuestion graph.