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Effects of cryotherapy on tonic adequacy upper limb hemiparesis after stroke.

2014· article· en· W1890017431 on OpenAlexaff
Stéfanie Saccomam Freitas Guimarães, Carly de Faria Coelho, Luciana Barcala Carruba

Bibliographic record

VenueManual Therapy Posturology & Rehabilitation Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsProfessional Engineers Ontario
Fundersnot available
KeywordsCryotherapySpasticityMuscle tonePhysical medicine and rehabilitationMedicineWeaknessHemiparesisFunctional Independence MeasureStroke (engine)Activities of daily livingPhysical therapyLimitingRange of motionSurgeryLesion

Abstract

fetched live from OpenAlex

Introduction: After stroke , over 80 % of survivors have hemiparesis associated with muscle weakness . It is cited as a major deficiency , responsible for reducing the functional use of the upper limb . Spasticity , changes in muscle tone caused by injury to the upper moto neuron is present in most patients who suffer strokes , cause resistance to mobilization speed dependent , the individual providing significant motor changes , which lead to the difficulty of movement , limiting activities of daily living , especially in manual tasks . Objective: This study aims to compare the evolution of the treatment of hemiplegic patients using cryotherapy before the exercises cinesioterapêuticos . Methods: Among the resources in physical therapy as a treatment for spasticity , will be used cryotherapy technique , which consists in the use of cold to promote relaxation of the area to be treated and allow progressive active exercise without pain and with good range of motion . In the case of patients suffering from stroke , cryotherapy may reduce muscle atrophy, it can adjust the tone to achieve the motion. Results: After reviews all patients increased their level of functional independence , both the Fugl- Meyer and the Functional Independence Measure , with physical therapy associated with the use of ice. Conclusion: Further research may prove the efficacy of ice in reducing spasticity in post-stroke patients.

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)0.001
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 score0.315
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.267
Teacher spread0.262 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

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