Evidence map›Paper›PMID 33920035›Full record

ArticleJournal of clinical medicine2021

A COVID-19 Rehabilitation Prospective Surveillance Model for Use by Physiotherapists.

Paula Postigo-Martin, Irene Cantarero-Villanueva, Ana Lista-Paz, Eduardo Castro-Martín, Manuel Arroyo-Morales, Jesús Seco-Calvo

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Scoping review of rehabilitation care models for post COVID-19 condition.Bulletin of the World Health Organization · 2022
    Article
  8. Postural balance and its association with functionality and quality of life in non-hospitalized patients with post-acute COVID-19 syndrome.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
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.

Paula Postigo-MartinHealth Sciences Faculty, University of Granada, 18016 Granada, Spain.ORCID 0000-0001-6430-5207
Irene Cantarero-VillanuevaHealth Sciences Faculty, University of Granada, 18016 Granada, Spain.ORCID 0000-0002-3834-1711
Ana Lista-PazFaculty of Physiotherapy, University of La Coruña, 15006 La Coruña, Spain.
Eduardo Castro-MartínHealth Sciences Faculty, University of Granada, 18016 Granada, Spain.
Manuel Arroyo-MoralesHealth Sciences Faculty, University of Granada, 18016 Granada, Spain.ORCID 0000-0003-3552-8051
Jesús Seco-CalvoPhysiotherapy Department, Institute of Biomedicine (IBIOMED), University of Leon, Campus de Vegazana s/n, 24071 Leon, Spain.ORCID 0000-0002-7818-9777

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term sequelae of coronavirus disease 2019 (COVID-19) are only now beginning to be defined, but it is already known that the disease can have direct and indirect impacts mainly on the cardiorespiratory and neuromuscular systems and may affect mental health. A role for rehabilitation professionals from all disciplines in addressing COVID-19 sequelae is recognised, but it is essential that patient assessment be systematic if health complications are to be identified and treated and, if possible, prevented. The aim is to present a COVID-19 prospective surveillance model based on sensitive and easily used assessment tools, which is urgently required. Following the Oxford Centre for Evidence-Based Medicine Level of Evidence Tool, an expert team in cardiorespiratory, neuromuscular and mental health worked via telemeetings to establish a model that provides guidelines to rehabilitation professionals working with patients who require rehabilitation after suffering from COVID-19. A COVID-19 prospective surveillance model is proposed for use by rehabilitation professionals and includes both face-to-face and telematic monitoring components. This model should facilitate the early identification and management of long-term COVID-19 sequelae, thus responding to an arising need.

Indexed as

cardiorespiratory systemCOVID-19mental healthneuromuscular systemprospective surveillance model

Identifiers

PMID33920035
PMCPMC8071011

What Socratic 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 Socratic graph.