Evidence map›Paper›PMID 39065985›Full record

ArticleSensors (Basel, Switzerland)2024

GPS Suitability for Physical Frailty Assessment.

Pablo Boronat, Miguel Pérez-Francisco, Arturo Gascó-Compte, Miguel Pardo-Navarro, Oscar Belmonte-Fernández

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

5 authors.

Pablo BoronatComputer Languages and Systems Department, Universitat Jaume I (UJI), Av. Sos Baynat s/n, 12071 Castellón, Spain.ORCID 0000-0001-7850-8179
Miguel Pérez-FranciscoComputer Science and Engineering Department, Universitat Jaume I (UJI), Av. Sos Baynat s/n, 12071 Castellón, Spain.ORCID 0000-0003-3831-4075
Arturo Gascó-CompteComputer Languages and Systems Department, Universitat Jaume I (UJI), Av. Sos Baynat s/n, 12071 Castellón, Spain.ORCID 0000-0001-8212-6149
Miguel Pardo-NavarroComputer Languages and Systems Department, Universitat Jaume I (UJI), Av. Sos Baynat s/n, 12071 Castellón, Spain.ORCID 0009-0004-2618-3164
Oscar Belmonte-FernándezComputer Languages and Systems Department, Universitat Jaume I (UJI), Av. Sos Baynat s/n, 12071 Castellón, Spain.ORCID 0000-0002-0121-0697

Funding

Ministerio de Ciencia, Innovación y Universidades TED2021-129866B-I00Ministerio de Ciencia, Innovación y Universidades: PID2021-122642OB-C44
6 · The paper itself

Abstract

The ageing of the population needs the automation of patient monitoring. The objective of this is twofold: to improve care and reduce costs. Frailty, as a state of increased vulnerability resulting from several diseases, can be seen as a pandemic for older people. One of the most common detection tests is gait speed. This article compares the gait speed measured outdoors using smartphones with that measured using manual tests conducted in medical centres. In the experiments, the walking speed was measured over a straight path of 80 m. Additionally, the speed was measured over 2.4 m in the middle of the path, given that this is the minimum distance used in medical frailty tests. To eliminate external factors, the participants were healthy individuals, the weather was good, and the path was flat and free of obstacles. The results obtained are promising. The measurements taken with common smartphones over a straight path of 80 m are within the same order of error as those observed in the manual tests conducted by practitioners.

Indexed as

FrailtySmartphoneAdultAgedFemaleGaitGeographic Information SystemsGeriatric AssessmentHumansMaleWalking Speeddaily monitoringfrailty assessmentgait speedGPS monitoring

Identifiers

PMID39065985
PMCPMC11280939

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.