Evidence map›Paper›PMID 40630611›Full record

ReviewEClinicalMedicine2025

Digitally mapping the asthma journey-from diagnosis to remission.

Amy Hai Yan Chan, David Drummond, Sanjay Ramakrishnan, Job F M van Boven, Peter G Gibson, Dennis Thomas

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Asthma endotypes and theratypes.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  3. Diagnosis of Lung Diseases in the Artificial Intelligence Era.International journal of molecular sciences · 2026
    Article
  4. 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

6 authors.

Amy Hai Yan ChanSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
David DrummondDepartment of Pediatric Pulmonology and Allergology, University Hospital Necker-Enfants Malades, AP-HP, Université Paris Cité, Inserm UMR 1138, HeKA Team, Centre de Recherche des Cordeliers, F-75006, Paris, France.
Sanjay RamakrishnanInstitute for Respiratory Health, University of Western Australia, Perth, Western Australia, Australia.
Job F M van BovenDepartment of Clinical Pharmacy & Pharmacology, Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Peter G GibsonCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, Hunter Medical Research Institute Asthma and Breathing Programme, Newcastle, NSW, Australia.
Dennis ThomasCentre of Excellence in Treatable Traits, College of Health, Medicine and Wellbeing, University of Newcastle, Hunter Medical Research Institute Asthma and Breathing Programme, Newcastle, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies can play a central role in achieving precision medicine by monitoring changes in physiological and behavioural states. This could transform asthma care for the health provider and patient across the patient journey, from diagnosis to remission. For diagnosis, smartphones and artificial-intelligence-enabled devices can objectively capture respiratory symptoms, while digital peak flow meters enable home assessment of airflow variability. For routine monitoring and self-management, technologies can monitor biomarkers more frequently, digital inhalers can improve medication adherence and control whilst serious games can improve patient knowledge. Symptom tracking, lung function monitoring and environmental parameters can help identify exacerbation triggers. For assessing remission, digital technologies can capture most of the components of remission definitions, from exacerbations to reliever use, enabling a more objective assessment of this emerging endpoint. Together, this evidence supports the role of digital technologies in enabling the personalised approach to asthma called for by the Lancet Commission. Funding: None.

Indexed as

AsthmaDiagnosisDigitalRemissionSelf-management

Identifiers

PMID40630611
PMCPMC12235388

What Socratic 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 Socratic graph.