Evidence map›Paper›PMID 41809858›Full record

ArticleERJ open research2026

Optimising pulmonary rehabilitation for α

Fawaz A Alwadani, Rachel Adams, Mohammed Alshahrani, Harriet Pittaway, Anita Pye, Alice M Turner

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fawaz A AlwadaniDepartment of Applied Health Research, School of Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-5193-2789
Rachel AdamsHealth Services Management Centre, University of Birmingham, Birmingham, UK.
Mohammed AlshahraniInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Harriet PittawayInstitute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
Anita PyeDepartment of Applied Health Research, School of Health Sciences, University of Birmingham, Birmingham, UK.
Alice M TurnerDepartment of Applied Health Research, School of Health Sciences, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0002-5947-3254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: α Methods: This qualitative study (November 2023-July 2024) explored how PR services can be adapted to better meet the needs of individuals with AATD. Semi-structured interviews were conducted with 14 patients. 10 healthcare professionals participated in the study: eight took part in three online focus groups and two were interviewed individually. Data were analysed using the Framework Method to identify key improvement areas. A critical-to-quality diagram was developed to translate insights into service-level recommendations. Results: Six key themes emerged: 1) accessibility and customisation, 2) personalised rehabilitation care, 3) integrated diagnosis and referral pathways, 4) emotional and social support, 5) post-rehabilitation support and 6) technology integration. Participants identified the need for flexible, locally delivered or hybrid PR models, tailored exercise prescriptions ( Conclusion: Tailored PR models for AATD should address disease-specific needs through flexible delivery formats, personalised approaches to desaturation management and structured referral and follow-up pathways. These findings provide a roadmap for optimising PR in AATD and may inform improvements in rehabilitation for other early-onset or rare respiratory conditions.

Identifiers

PMID41809858
PMCPMC12969663

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.