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Record W2183930267

COMPARATIVE STUDY OF ANALGESIC ALONG WITH TAPING TECHNIQUE VERSUS ANALGESIC ALONG WITH CRYOTHERAPY IN UNILATERAL PATELLO-FEMORAL OSTEOARTHRITIS OF KNEE JOINT

2014· article· en· W2183930267 on OpenAlexaboutno aff
Soumik Basu, Prof.Tushar J Palekar

Bibliographic record

VenueInternational Journal of Pharma and Bio Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsCryotherapyOsteoarthritisMedicineAnalgesicWOMACVisual analogue scaleKnee JointPhysical therapyAnesthesiaSurgery
DOInot available

Abstract

fetched live from OpenAlex

Osteoarthritis(OA) is a leading cause of pain and disability in elder people world-wide. Cryotherapy has been proven to control pain in OA knee. Taping has shown relieving the pain.40 patients with unilateral patello femoral OA of knee joint of both the sexes were taken randomly, divided into Group A and Group B. Group A treated with Analgesic and taping Group B treated with Analgesic and Cryotherapy .Both the groups were treated daily for 15 days for 20-25 mins. Patients were evaluated with visual Analog Scale, Goniometer and Western Ontario and Mac Master- Universities Osteoarthritis index on day the1 and the day 15. The values are statistically analyzed to determine theireffect in reducing the pain and improving function. In comparison with VAS, ROM and WOMAC-pain, stiffness and difficulty scores, Group A shows significant improvement of all the parameters than Group B.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.040
GPT teacher head0.321
Teacher spread0.281 · 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 designNon-randomized trial
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
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Pharma and Bio SciencesSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207