Evidence map›Paper›PMID 42856588›Full record

ReviewChinese medical journal pulmonary and critical care medicine2026

Treatable traits-based management of bronchiectasis: moving from theory to clinical practice.

Guiyin Zhu, James D Chalmers, Jin-Fu Xu

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

3 authors.

Guiyin ZhuDepartment of Respiratory and Critical Care Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.
James D ChalmersRadcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, United Kingdom.
Jin-Fu XuDepartment of Respiratory and Critical Care Medicine, Huadong Hospital, Fudan University, Shanghai 200040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bronchiectasis is a chronic airway disease characterized by irreversible bronchial dilatation and substantial clinical heterogeneity. Accumulating evidence from large international observational cohorts has highlighted wide variation in the features of this disease and unmet clinical needs. The treatable traits-based approach has emerged as a means to prioritize identifiable and clinically actionable problems over traditional diagnostic labels. In this review, we summarize the reported prevalence of major treatable traits across large cohorts and describe notable regional differences, alongside the ongoing absence of data relating to behavioral and environmental traits. We further update the treatable traits framework based on recent guideline recommendations, clarifying the strength of evidence supporting the interventions available. We also review selected molecular mechanisms relevant to key treatable traits. Despite growing interest, the use of treatable traits in routine practice is restricted by ambiguous terminology, insufficient prospective data, and inadequate evidence for many therapies. However, the fundamental constraint for implementation is not insufficient characteristic identification, but rather the attempt to manage a complicated and non-linear disease system with a static checklist. Future research should emphasize standardized definitions and real-world longitudinal studies, and develop practical tools to help clinicians determine which traits should be addressed first. Such efforts may support transparent, individualized, and adaptive decision-making in bronchiectasis.

Indexed as

BronchiectasisChronic airway diseaseClinical heterogeneityTreatable traits

Identifiers

PMID42856588
PMCPMC13649498

What OpenQuestion holds

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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.