MétaCan
Menu
Back to cohort
Record W4387824253 · doi:10.1097/tgr.0000000000000413

Effects of Telemedicine for Postural Instability in Independent Patients With Parkinson's Disease

2023· article· en· W4387824253 on OpenAlexaff
Andrea De Vitis, Andrea Battaglino, Pierluigi Sinatti, Eleuterio A. Sánchez Romero, Luciano Bissolotti, Diego Cotella, Jorge Hugo Villafañe

Bibliographic record

VenueTopics in Geriatric Rehabilitation · 2023
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsMonsanto (Canada)
Fundersnot available
KeywordsTelerehabilitationMedicineRehabilitationTelemedicinePhysical therapyMEDLINEPhysical medicine and rehabilitationIntervention (counseling)Parkinson's diseaseDiseasePostural instabilityHealth careNursingPathology

Abstract

fetched live from OpenAlex

Background: The purpose of this study is to examine the evidence of the effectiveness of telemedicine in postural stability treatment in independent patients affected by Parkinson's disease (PD). Methods: This is a literature review of studies investigating the effect of telemedicine in postural stability treatment in independent patients affected by PD. PRISMA guidelines were followed during the design, search, and reporting stages of this review. The search was carried out in the MEDLINE databases. Results: A total of 1854 studies were detected and analyzed by performing the proposed searches in the detailed databases. After removing duplicates and analyzing the titles and abstracts of the remaining articles, 6 studies were ultimately selected for this review. At least 50% of the studies included in this review showed positive results in improving postural stability in patients with PD after a home-based intervention. Conclusions: The home-based intervention based upon technologically assisted telerehabilitation may support the aspects of an effective and efficient physical therapy allowing the physiotherapists to deliver functional rehabilitation in the home setting outside the hospital and supervise more than one patient simultaneously during rehabilitation sessions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.255
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueTopics in Geriatric RehabilitationSame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207