Evidence map›Paper›PMID 35062542›Full record

SynthesisSensors (Basel, Switzerland)2022

Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review.

Ivan Miguel Pires, Hanna Vitaliyivna Denysyuk, María Vanessa Villasana, Juliana Sá, Diogo Luís Marques, José Francisco Morgado, Carlos Albuquerque, Eftim Zdravevski

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  3. The effect of resistance inspiratory muscle training in the management of breathlessness in patients with thoracic malignancies: a randomised controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

8 authors.

Ivan Miguel PiresInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.ORCID 0000-0002-3394-6762
Hanna Vitaliyivna DenysyukInstituto de Telecomunicações, Universidade da Beira Interior, 6200-001 Covilhã, Portugal.
María Vanessa VillasanaCentro Hospitalar Universitário da Cova da Beira, 6200-251 Covilhã, Portugal.ORCID 0000-0002-4957-9477
Juliana SáHealth Sciences Research Unit: Nursing (UICISA: E), School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal.
Diogo Luís MarquesDepartment of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal.ORCID 0000-0002-6653-0616
José Francisco MorgadoComputer Science Department, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal.
Carlos AlbuquerqueHealth Sciences Research Unit: Nursing (UICISA: E), School of Health, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal.
Eftim ZdravevskiFaculty of Computer Science and Engineering, University Ss Cyril and Methodius, 1000 Skopje, North Macedonia.ORCID 0000-0001-7664-0168

Funding

Fundação para a Ciência e Tecnologia UIDB/00742/2020Fundação para a Ciência e Tecnologia UIDB/50008/2020
6 · The paper itself

Abstract

In the pandemic time, the monitoring of the progression of some diseases is affected and rehabilitation is more complicated. Remote monitoring may help solve this problem using mobile devices that embed low-cost sensors, which can help measure different physical parameters. Many tests can be applied remotely, one of which is the six-minute walk test (6MWT). The 6MWT is a sub-maximal exercise test that assesses aerobic capacity and endurance, allowing early detection of emerging medical conditions with changes. This paper presents a systematic review of the use of sensors to measure the different physical parameters during the performance of 6MWT, focusing on various diseases, sensors, and implemented methodologies. It was performed with the PRISMA methodology, where the search was conducted in different databases, including IEEE Xplore, ACM Digital Library, ScienceDirect, and PubMed Central. After filtering the papers related to 6MWT and sensors, we selected 31 papers that were analyzed in more detail. Our analysis discovered that the measurements of 6MWT are primarily performed with inertial and magnetic sensors. Likewise, most research studies related to this test focus on multiple sclerosis and pulmonary diseases.

Indexed as

Exercise TestWalkingWalk TestIoTmobile devicessix-minute walk testsystematic reviewtelemedicine

Identifiers

PMID35062542
PMCPMC8782011

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.