Evidence map›Paper›PMID 33070247›Full record

SynthesisJournal of medical systems2020

Sensors are Capable to Help in the Measurement of the Results of the Timed-Up and Go Test? A Systematic Review.

Vasco Ponciano, Ivan Miguel Pires, Fernando Reinaldo Ribeiro, Susanna Spinsante

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. 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 at 3 institutions in 2 countries.

Vasco PoncianoR&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal. Vasco.ponciano@ipcbcampus.pt.
Ivan Miguel PiresInstituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal.
Fernando Reinaldo RibeiroR&D Unit in Digital Services, Applications and Content, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal.
Susanna SpinsanteDepartment of Information Engineering, Marche Polytechnic University, Ancona, Italy.
Polytechnic Institute of Castelo Branco · PTMarche Polytechnic University · ITPolytechnic Institute of Viseu · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of movements used in physiotherapy areas related to the elderly is becoming increasingly important due to factors such as the increase in the average life expectancy and the rate of elderly people over the whole population. In this systematic review, we try to determine how the inertial sensors embedded in mobile devices are exploited for the measurement of the different parameters involved in the Timed-Up and Go test. The results show the mobile devices equipped with onboard motion sensors can be exploited for these types of studies: the most commonly used sensors are the magnetometer, accelerometer and gyroscope available in consumer off-the-shelf smartphones. Other features typically used to evaluate the Timed-Up and Go test are the time duration, the angular velocity and the number of steps, allowing for the recognition of some diseases as well as the measurement of the subject's performance during the test execution.

Indexed as

MovementSmartphoneAgedComputers, HandheldHumansMass ScreeningElderly peopleInertial sensorsMobile devicesPhysical exercisesPhysiotherapySystematic reviewTimed-Up and Go test measurement

Identifiers

PMID33070247
OpenAlexW3093089331

What OpenQuestion holds

Textmetadata
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.