Evidence map›Paper›PMID 39398262›Full record

ArticleCanadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR2024

Cut-off values of one-minute sit-to-stand test for determining physical performance in mild-post-COVID-19 individuals.

Arunrat Srithawong, Puttipong Poncumhak, Tichanon Promsrisuk, Patchareeya Amput

Abstract read
In one paragraph

Article in Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR, 2024. 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. 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

4 authors.

Arunrat SrithawongDepartment of Physical Therapy, School of Allied Health Sciences University of Phayao.
Puttipong PoncumhakDepartment of Physical Therapy, School of Allied Health Sciences University of Phayao.
Tichanon PromsrisukDivision of Physiology, School of Medical Sciences University of Phayao.
Patchareeya AmputDepartment of Physical Therapy, School of Allied Health Sciences University of Phayao.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to establish cutoff values for the one-minute sit-to-stand test (1STST) to predict physical performance in mild-post- coronavirus disease 2019 (COVID-19) individuals and to compare the 1STST with the 6-minute walk test (6MWT) in assessing hemodynamic response and to explore the correlation between 1STST, 6MWT, and muscle strength, including leg and respiratory muscle strength. Methods: A cross-sectional study of 93 participants with mild post-COVID-19 symptoms was conducted. Sociodemographic and anthropometric data were collected, and pulmonary function, as well as respiratory and quadriceps muscle strength, were evaluated. Functional capacity was assessed using the 6MWT and 1STST. Additionally, hemodynamic responses, fatigue, and dyspnea were measured before and after each test. Results: The cutoff for the 1STST in mild post-COVID-19 individuals was ≥29 repetitions, with an AUC of 0.84, sensitivity of 80.52%, and specificity of 75.00%. The 1STST resulted in higher heart rate, systolic blood pressure, and dyspnea compared to the 6MWT, and showed a significant moderate correlation with the 6MWT (r = 0.532, Conclusion: A cutoff of less than 29 repetitions on the 1STST indicates functional impairment in mild post-COVID-19 cases, as it induces greater physiological stress than the 6MWT and correlates with muscle strength, making it crucial for rehabilitation assessment.

Indexed as

1-minute sit-to-stand test6-minute walk testmild-post-COVID-19muscle strengthrespiratory function

Identifiers

PMID39398262
PMCPMC11470771

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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.