Evidence map›Paper›PMID 33395048›Full record

ArticleAmerican journal of physical medicine & rehabilitation2021

An Improvised Pulmonary Telerehabilitation Program for Postacute COVID-19 Patients Would Be Feasible and Acceptable in a Low-Resource Setting.

Fanuel Meckson Bickton, Enock Chisati, Jamie Rylance, Ben Morton

Abstract read
In one paragraph

Article in American journal of physical medicine & rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Non-Pharmacological Therapies for Post-Viral Syndromes, Including Long COVID: A Systematic Review.International journal of environmental research and public health · 2023
    Pooled it
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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.

Fanuel Meckson BicktonFrom the University College London, London, United Kingdom (FMB); Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi (FMB, JR, BM); College of Medicine, University of Malawi, Physiotherapy Department, Blantyre, Malawi (EC); Liverpool School of Tropical Medicine, Liverpool, United Kingdom (JR, BM); and Aintree University Hospital NHS Foundation Trust, Liverpool, United Kingdom (BM).
Enock Chisati
Jamie Rylance
Ben Morton

Funding

Wellcome Trust
6 · The paper itself

Abstract

abstractPostacute COVID-19 patients are at risk of long-term functional impairment, and the rehabilitation community is calling for action preparing for a "tsunami of rehabilitation needs" in this patient population. In the absence of standard guidelines and local evidence, a 3-wk pulmonary telerehabilitation program was successfully delivered to a postacute severe COVID-19 patient in Malawi. The patient experienced persistent dyspnea and fatigue, with a remarkable impact on his health status. On the final assessment, all his respiratory severity scores had fallen by more than their thresholds for clinical significance. He reported no continued or new complaints, was walking longer distances, had returned to work, and was discharged from follow-up. Our case shows that an improvised pulmonary telerehabilitation program for postacute COVID-19 patients could be feasible and acceptable in a low-resource setting. Benefits include reducing risk of transmission and use of personal protective equipment.

Indexed as

Quality of LifeCOVID-19FemaleHumansMaleRecovery of FunctionTelerehabilitationTime FactorsTreatment Outcome

Identifiers

PMID33395048
PMCPMC7886367

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.