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Record W4413943373 · doi:10.2196/preprints.68306

Efficacy of a Multimodal Ayurveda Regimen in the Management of Primary Knee Osteoarthritis: Protocol for an Open-Label Randomized Controlled Trial (Preprint)

2024· article· en· W4413943373 on OpenAlexaboutno aff
Amit Kumar, Babita Yadav, Uma Kumar, Bharti Gupta, Kinnari Patel, Shruti Khanduri, BS Sharma, Richa Singhal, Narayanam Srikanth, Rabinarayan Acharya

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintProtocol (science)OsteoarthritisRandomized controlled trialRegimenMedicinePhysical therapyAlternative medicineComputer scienceSurgeryWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND Ayurveda recommends a comprehensive therapeutic approach for osteoarthritis management. However, most of the published clinical studies on Ayurveda interventions for osteoarthritis management have addressed selected modalities of Ayurveda treatment rather than the holistic therapeutic regimen. OBJECTIVE This study aimed to assess the efficacy and safety of a multimodal Ayurveda treatment protocol in the long-term management of primary osteoarthritis of the knee compared with standard care. METHODS The proposed open-label, parallel-group randomized controlled trial was conducted in individuals of any gender aged 40 to 70 years and diagnosed with primary osteoarthritis of the knee as per the American College of Rheumatology criteria. Individuals with grade 4 radiographic changes in the affected knee (based on the Kellgren-Lawrence classification) and with comorbidities were not considered. The study was conducted at the All India Institute of Medical Sciences, New Delhi, India. A total of 150 participants underwent random assignment in a 1:1 ratio to receive either the Ayurveda treatment protocol or conventional standard care for 180 days. The primary outcome was the change in the Western Ontario and McMaster Universities Osteoarthritis Index score from baseline. The secondary outcome measures included the change in the score for pain, stiffness, and physical function from baseline; change in the range of motion of the knee joint; change in the score of the numeric pain rating scale, Pain Disability Index, and 12-item short-form survey questionnaire (to assess health-related quality of life); change in highly sensitive C-reactive protein levels, interleukin-6 levels, magnetic resonance imaging scan findings, and dual-energy X-ray absorptiometry scan findings; and change in the need for rescue analgesic medication from baseline. Safety was evaluated by recording the incidence of adverse events and changes in liver and kidney function tests from baseline. RESULTS Recruitment of study participants commenced on October 11, 2022. Currently, all the participants completed the study and the analysis of the study outcomes is ongoing. CONCLUSIONS This randomized controlled trial will be the first study to explore the potential benefits of a multimodal Ayurveda regimen (based on Ayurveda principles and scientific evidence) in the long-term management of osteoarthritis of the knee through validated subjective, laboratory, and imaging parameters. The outcomes of this study may address the needs and challenges associated with osteoarthritis management. CLINICALTRIAL Clinical Trial Registry of India CTRI/2022/05/042792; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=Njk0MTM=&Enc=&userName= INTERNATIONAL REGISTERED REPORT DERR1-10.2196/68306

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)0.031
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.055
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.028
Meta-epidemiology (narrow)0.0050.003
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0020.002
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0550.008

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 head0.041
GPT teacher head0.351
Teacher spread0.310 · 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 designRandomized trial
Domainnot available
GenreProtocol

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
Published2024
Admission routes1
Has abstractyes

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