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Record W4408491064 · doi:10.1080/21679169.2025.2476457

Physiotherapy treatment at home for patients with parkinsonian disorders, effects on disability, pain and gait: a cross-sectional study

2025· article· en· W4408491064 on OpenAlexaff
M. C. Sousa-Fraguas, Nélida M. Conejo, D. Lastra-Barreira, Gustavo Rodríguez Fuentes

Bibliographic record

VenueEuropean Journal of Physiotherapy · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsGaitPhysical therapyCross-sectional studyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

Background Parkinsonian disorders lead to functional impairment that requires appropriate physiotherapy treatment. Home physiotherapy is presented as a possible treatment option.Objectives To describe the sociodemographic and clinical characteristics in patients with parkinsonian disorders referred to a home rehabilitation service. To know the degree of therapeutic adherence. To evaluate how the applied physiotherapy treatment influences pain, functional recovery and walking ability.Methods The medical records of patients with parkinsonian disorders admitted to a home rehabilitation service were retrospectively analysed. The main outcome measures were disability assessed by the Barthel Index (BI), pain with the Visual Analogue Scale and walking ability through Holden’s functional ambulation categories.Results 189 medical records were analysed; 54.5% had idiopathic Parkinson’s disease, 38.1% secondary parkinsonism and 7.4% atypical parkinsonism. 24.42% of the men and 29.13% of the women showed improvements of more than 20% in the BI after the physiotherapy treatment. The therapeutic adherence rate was 94.21%.Conclusions This home-based intervention helps to prevent functional deterioration and reduces the risk of potential complications in the evolution of the disease, such as the risk of falls or those derived from the progressive loss of mobility, with the associated hospital care costs.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
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 score0.071
Threshold uncertainty score0.705

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.298
Teacher spread0.290 · 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

Labeled directly by 2 models reading the full record.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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