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Record W2135514767

FORTALECIMENTO DOS MÚSCULOS ESTABILIZADORES DA COLUNA LOMBAR NO TRATAMENTO DA LOMBALGIA

2012· article· pt· W2135514767 on OpenAlexaboutno aff
Andressa Mayra dos Santos, Marinêz Boeing Ruaro, Andersom Ricardo Fréz, João Afonso Ruaro

Bibliographic record

VenueFiep Bulletin - online · 2012
Typearticle
Languagept
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTransversus abdominisBiofeedbackPhysical therapyLow back painLumbarPopulationPhysical medicine and rehabilitationAbdominal musclesAnesthesiaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Background: The high prevalence in the population and the significant negative social and economic impact generated by the cases of disability justify the importance of the study of low back pain. Objective: Evaluate the effect of an exercise protocol to strengthen the stabilizing muscles of the lumbar spine in the treatment of low back pain. Methods: The proposed protocol was applied in 15 subjects randomly assigned to two groups, treated (TG) and a control group (CG), aged between 20 and 60. Methods of assessment questionnaires were used to McGill and Roland-Morris and stabilizer pressure biofeedback unit. The TG was submitted to an exercise protocol, based on the segmental stabilization, which emphasizes the strengthening of the transversus abdominis muscle. The CG did not receive the intervention. Results and conclusion: The results were that the TG presented significant improvement of lumbar function, the transverse abdominal muscle activation (both p <0.0001) and clinical improvement of pain, but not statistically significant (p = 0.0599).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.006

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 head0.022
GPT teacher head0.308
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2012
Admission routes1
Has abstractyes

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