MétaCan
Menu
Back to cohort
Record W3006619020

Intervención de la terapia ocupacional en rizartrosis: revisión bibliográfica:

2019· article· es· W3006619020 on OpenAlexaboutno aff
María Lourdes López Peñalver, David Francisco Pérez Cruzado

Bibliographic record

VenueRevista electrónica de terapia ocupacional Galicia, TOG · 2019
Typearticle
Languagees
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyMedicinePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Objetivos: conocer los efectos de diferentes intervenciones de terapia ocupacional en las personas con rizartrosis, averiguar los tipos de tratamiento que puede realizar un terapeuta ocupacional con personas que sufren rizartrosis e identificar los diferentes tests y escalas estandarizadas que un Terapeuta Ocupacional puede utilizar para conocer la valoracion de la mano con rizartrosis. Metodos: se realizo una revision bibliografica utilizando 5 bases de datos. Fueron seleccionados aquellos articulos relacionados con nuestra pregunta de estudio (tratamiento de la rizartrosis desde la terapia ocupacional) y que habian sido publicados en los ultimos diez anos (junio 2007-julio 2017) en ingles o en espanol y los sujetos comprendian una edad entre 18-65 anos. Resultados: fueron evaluados un total de 8 articulos en los cuales la terapia ocupacional ha mostrado efectos beneficiosos en el mantenimiento de la estabilidad dinamica de la articulacion trapeciometacarpiana, utilizando diferentes tecnicas como proteccion articular, tratamiento ortesico, tratamiento en habilidades motoras finas y ejercicios manuales con el fin de mejorar rango articular y fuerza muscular. Conclusion: existen discrepancias sobre que metodo de tratamiento es el adecuado asi como un consenso en cuanto a la aplicacion de dichas terapias. Ademas de ello, se han analizado las herramientas para la evaluacion de dicha patologia, siendo estas, la Escala Visual Analogica (EVA), el DASH (Disabilities of the arm, shoulder and hand), el AUSCAN (Australian Canadian Osteoarthritis Hand Index) , el Purdue Pegboard y la prueba de O´Connor. Objective: This review aims to identify the effects of different occupational therapy interventions in patients suffering from osteoarthritis of first carpometacarpal joint, to know the types of treatments available for occupational therapists, and to establish various tests and standardized scales that can be applied in the assessment of this condition. Methods: A literature review was carried out using five databases. Articles related to our study, which had been published in the last ten years (June 2007- June 2017) in English or Spanish, were examined. An additional criterion was selecting samples with patients aged between 18 and 65. Results: A total of eight articles were assessed in which occupational therapy has proved to have beneficial effects on maintaining the dynamic stability of the trapeziometacarpal joint, using different techniques such as joint protection, orthotic treatment, treatment of fine motor skills and manual exercises with the aim to improve joint range and muscle strength. Conclusion: There are some discrepancies about which method of treatment is the most appropriate as well as a consensus regarding the application of these therapies. In addition, the assessment tools for this pathology have been tested, these being the Visual Analog Scale (VAS), the Disabilities of the Arm, Shoulder and Hand (DASH), the Australian Canadian Osteoarthritis Hand Index (AUSCAN), the Purdue Pegboard and the O’Connor test. DeCS Rizartrosis; Artrosis Del Pulgar; Terapia De La Mano; Artrosis Trapeciometacarpiana; Rehabilitacion; Pulgar; Terapia Ocupacional. MeSH Rhizarthrosis; Thumb Arthrosis; Hand Therapy; Trapeziometacarpal Arthrosis; Rehabilitation; Thumb; Occupational Therapy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.063
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0150.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.005
GPT teacher head0.300
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista electrónica de terapia ocupacional Galicia, TOGSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207