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The use of elastic bandage and kinesiotherapy in lombar pain treatment: case report

2017· article· en· W2796360480 on OpenAlexaboutno aff
Fernanda Cimão dos Santos, Helen Katharine Christofe, Ovídia Ignêz Pires, Rodrigo Antônio Carvalho Andraus

Bibliographic record

VenueManual Therapy Posturology & Rehabilitation Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsVisual analogue scaleMedicinePhysical therapyMcGill Pain QuestionnaireQuality of life (healthcare)LumbarFlexibility (engineering)Test (biology)SurgeryNursing

Abstract

fetched live from OpenAlex

Background: Nowadays, lumbar pain may be one of the most frequent causes of medical leave, regardless of age and gender, and may have a known or unknown cause. Objective: To evaluate the existence of a decrease in pain and improvement in the lumbar functionalities using therapeutic elastic bandaging by the Therapy Taping method and kinesiotherapy. Method: 23 years old subject, 80 pounds, 1.73 high, single, assists in the school transportation of children. The patient answered the questionnaires SF-36 Quality of Life Questionnaire, Oswetry 2.0 Disability Index, McGill pain questionnaire, Visual Analogue Scale and was submitted to Schöber’s flexibility test, as well as an exercise protocol and elastic bandaging application in Region of pain for 6 weeks. Results: The results showed improvement in the tests, decrease of pain, gain of functionality and improvement in quality of life. Conclusion: The use of kinesiotherapy and elastic bandaging was effective for the treatment of chronic low back pain.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.239
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.030
GPT teacher head0.334
Teacher spread0.304 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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