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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 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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.115
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 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

Citations0
Published2005
Admission routes1
Has abstractyes

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Same venueWorld Journal of Pharmaceutical and life sciencesSame topicPharmacological Effects of Medicinal PlantsFrench-language works237,207