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Record W3115164399

CLINICAL EVALUATION OF VATARI GUGGULU, MAHARASNADI KWATHA AND NARAYAN TAILA IN THE MANAGEMENT OF OSTEOARTHRITIS KNEE

2005· article· en· W3115164399 on OpenAlexaboutno aff
Sheetal Gupta and Dr. Rahul Sharma

Bibliographic record

VenueWorld Journal of Pharmaceutical and life sciences · 2005
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisMassageWOMACVisual analogue scalePhysical therapyAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

In present era, pharmacological, biochemical and surgical interventions are not successful remedy for osteoarthritis (OA). Ayurveda and complementary medicine have medication for OA. Objectives: The main aim of the study was to assess the efficacy and safety of therapeutic combination of vatari guggulu along with Maharasnadi kwatha and Narayan taila with gentle massage for 15 min daily up to 12 weeks on affected knee joint pain assessed on Visual analogue scale (VAS) and Western Ontario and McMaster University Osteoarthritis Index (WOMAC). Materials and methods: It was an open label, multicenter, prospective, clinical study conducted on 142 patients of OA Knee, Vatari guggulu 500 mg thrice in a day along with Maharasnadi Kwatha 20 ml with equal amount of water twice daily and Narayan taila 20 ml twice in a day for external application with gentle massage for 15 min up to 12 weeks were used to all the study participants.…

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.115
GPT teacher head0.454
Teacher spread0.338 · 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
Published2005
Admission routes1
Has abstractyes

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