Evidence map›Paper›PMID 38298025›Full record

ArticleEuropean journal of physical and rehabilitation medicine2024

System for Tracking and Evaluating Performance (Step-App®): validation and clinical application of a mobile telemonitoring system in patients with knee and hip total arthroplasty. A prospective cohort study.

Lorenzo Lippi, Francesco Desimoni, Massimo Canonico, Gregorio Massocco, Alessio Turco, Marco Polverelli, Alessandro de Sire, Marco Invernizzi

Open access · diamondAbstract read
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Article in European journal of physical and rehabilitation medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Lorenzo LippiUnit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Francesco DesimoniComputer Science Institute, Department of Sciences and Technological Innovation, University of Eastern Piedmont, Alessandria, Italy.
Massimo CanonicoComputer Science Institute, Department of Sciences and Technological Innovation, University of Eastern Piedmont, Alessandria, Italy.
Gregorio MassoccoUnit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Alessio TurcoUnit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Marco PolverelliUnit of Rehabilitation, Department of Rehabilitation, Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy.
Alessandro de SireDepartment of Medical and Surgical Sciences, University of Catanzaro Magna Graecia, Catanzaro, Italy - alessandro.desire@unicz.it.
Marco InvernizziUnit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITAzienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo · ITMagna Graecia University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnological advances and digital solutions have been proposed to overcome barriers to sustainable rehabilitation programs in patients with musculoskeletal disorders. However, to date, standardized telemonitoring systems able to precisely assess physical performance and functioning are still lacking.

aimTo validate a new mobile telemonitoring system, named System for Tracking and Evaluating Performance (Step-App

designProspective cohort study.

methodsA consecutive series of older adults with knee and hip total arthroplasty participated in a comprehensive rehabilitation program. The Step-App

resultsOut of 42 patients assessed, 25 older patients were included in the present study. The correlation analysis between the Step-App

conclusionsTherefore, we might conclude that Step-App CLINICAL REHABILITATION IMPACT: Our findings might guide clinicians in remote monitoring of physical performance in patients with musculoskeletal conditions, providing new insight into tailored telerehabilitation programs.

Indexed as

Arthroplasty, Replacement, HipMobile ApplicationsTelerehabilitationAgedHumansKnee JointProspective Studies

Identifiers

PMID38298025
PMCPMC11131591
OpenAlexW4391453012

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.