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A Research Protocol: Comparison of Ultrasound Therapy with Zingiber Cassumunar Roxb based Phonophoresis and Conventional Gel in Patients with Knee Osteoarthritis-Randomized Control Trial

2021· article· en· W3207391712 on OpenAlexaboutno aff
Medhavi Vivek Joshi, Pratik Phansopkar

Bibliographic record

VenueJournal of Pharmaceutical Research International · 2021
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineWOMACPhonophoresisRandomized controlled trialPhysical therapyUltrasoundUltrasound treatmentSurgeryAlternative medicineRadiology

Abstract

fetched live from OpenAlex

Background: Knee Osteoarthritis is considered as the leading cause of the disability in almost all over the world after age of 40. Almost about 54 percent people will end up in knee osteoarthritis in old age. Awareness of non-pharmacological treatment for knee osteoarthritis is more in practice in European as well as in Asian countries. Physical therapy, Ultrasound therapy, Otago exercises etc. are the treatments that are available for conservative management as well as preventive measure of knee Osteoarthritis.
 Methodology: Subjects with knee osteoarthritis with grade II to III on Kallgren and Lawrence classification will be included in the study N = 52. Two groups each of 26 will be allocated randomly as group A who will receive ultrasound treatment with Otago exercises control group and group B who will receive ultrasound treatment with zingiber Cassumunar based gel and Otago exercises as experimental group. The Western Ontario and McMaster University Osteoarthritis Index (WOMAC), VAS, star excursion balance test will be performed before and after the treatment after 2 weeks with single blind procedure.
 Objective: This research will examine the effect of treatment with Zingiber Cassumunar based gel applied by means of phonophoresis with ultrasound therapy in knee osteoarthritis patients with Randomized control trial.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.086
GPT teacher head0.461
Teacher spread0.376 · 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.

Study designRandomized 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

Citations8
Published2021
Admission routes1
Has abstractyes

Explore more

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