Evidence map›Paper›PMID 32840385›Full record

ReviewChronic respiratory disease

Home-based or remote exercise testing in chronic respiratory disease, during the COVID-19 pandemic and beyond: A rapid review.

Anne E Holland, Carla Malaguti, Mariana Hoffman, Aroub Lahham, Angela T Burge, Leona Dowman, Anthony K May, Janet Bondarenko, Marnie Graco, Gabriella Tikellis and 2 more

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 7 pooled it
11.8field-weighted citation impact, top 1% of its field
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

66 citing papers in PubMed, 7 syntheses or guidelines pooled it, 137 citations in OpenAlex.

  1. Pooled it
  2. Clinimetric properties of field exercise tests in cystic fibrosis: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2024
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  7. Telerehabilitation for chronic respiratory disease.The Cochrane database of systematic reviews · 2021
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6 more citing papers are in PubMed but not listed here.

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

12 authors at 4 institutions in 2 countries.

Anne E HollandDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-2061-845X
Carla MalagutiDepartment of Cardiorespiratory and Skeletal muscle, 28113Federal University of Juiz de Fora, São Pedro, Juiz de Fora, Brazil.
Mariana HoffmanDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Aroub LahhamDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Angela T BurgeDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Leona DowmanDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Anthony K MayDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Janet BondarenkoDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Marnie GracoInstitute for Breathing and Sleep, Australia.
Gabriella TikellisDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Joanna Yt LeeDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-2567-6990
Narelle S CoxDepartment of Allergy, Immunology and Respiratory Medicine, 2541Monash University, Clayton, Victoria, Australia.
Institute for Breathing and Sleep · AUMonash University · AUDeakin University · AUUniversidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify exercise tests that are suitable for home-based or remote administration in people with chronic lung disease.

methodsRapid review of studies that reported home-based or remote administration of an exercise test in people with chronic lung disease, and studies reporting their clinimetric (measurement) properties.

results84 studies were included. Tests used at home were the 6-minute walk test (6MWT, two studies), sit-to-stand tests (STS, five studies), Timed Up and Go (TUG, 4 studies) and step tests (two studies). Exercise tests administered remotely were the 6MWT (two studies) and step test (one study). Compared to centre-based testing the 6MWT distance was similar when performed outdoors but shorter when performed at home (two studies). The STS, TUG and step tests were feasible, reliable (intra-class correlation coefficients >0.80), valid (concurrent and known groups validity) and moderately responsive to pulmonary rehabilitation (medium effect sizes). These tests elicited less desaturation than the 6MWT, and validated methods to prescribe exercise were not reported. DISCUSSION: The STS, step and TUG tests can be performed at home, but do not accurately document desaturation with walking or allow exercise prescription. Patients at risk of desaturation should be prioritised for centre-based exercise testing when this is available.

Indexed as

Coronavirus InfectionsLung DiseasesPandemicsPneumonia, ViralBetacoronavirusCOVID-19Exercise TestHome Care ServicesHumansReproducibility of ResultsSARS-CoV-2TelemedicineExercise testhome care serviceslung diseasesrehabilitationtelemedicine

Identifiers

PMID32840385
PMCPMC7450293
OpenAlexW3080986640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.