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Clinical benefits and risk assessment of TriNyros in osteoarthritis of the knee: BRATO evidence generation program

2020· article· en· W3117983452 on OpenAlexaboutno aff
Gautam Chakraverty, Arun Gupta, Anish Desai, Sunaina S Anand

Bibliographic record

VenueInternational Journal of Orthopaedics Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisTolerabilityWOMACVisual analogue scaleInternal medicineMeloxicamPhysical therapyAdverse effectAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: Osteoarthritis is a major cause of disability worldwide, especially in older adults. Alternative treatments are preferred due to the cardiovascular and gastrointestinal side effects of non-steroidal anti-inflammatory drugs (NSAIDs). Nutraceuticals help in balancing anabolic and catabolic processes in the joint tissue, improve redox balance, free-radical scavenging, thus provide cartilage protection. Rosa canina L. (Rosehip), Boswellia serrata and Harpagophytum procumbens (Devil`s claw) extract are being recognized for their anti-inflammatory, antioxidant, analgesic and chondroprotective properties in Osteoarthritis.Aim: A post-marketing clinical evidence generation program was conducted to assess the effectiveness and tolerability of capsule TriNyros in knee osteoarthritis. Methods: An evidence generation program was conducted in 20 outpatient orthopedic clinics. All patients received TriNyros containing [Rosehip 275 mg, Irido ForceTM (Devil`s claw extract) 100 mg and Aflapin® 50 mg] twice daily for 90 days. Patients were on their regular anti-arthritic treatment and TriNyros was added as an adjuvant to their regular treatment. Clinical assessment of symptoms included palpation pain, limitation of mobility, joint crepitus, swelling and redness was assessed. Osteoarthritis symptoms were measured using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), 3- pointer and 10mm visual analogue scale (VAS). Hematological and serum biomarkers were analyzed to evaluate tolerability of TriNyros. Results: A total of 105 patients, comprising 42 women and 63 men mostly belonging to the age group of 58-65 years (39.05%) enrolled in the program. Significant reduction in WOMAC scores was seen in majority of the patients at day 15, 30, 60 and 90 (P< 0.0001). WOMAC scores for joint pain declined by 58.82% (mean ± SD: 66.43 ± 11.97 to 27.35 ± 7.92) at the end of 3 months (p< 0.0001). The reduction was significant from the 15th day itself (p = 0.02) and continued till day 90. Pain measured by VAS significantly reduced by 67% (7.11 ± 1.56 to 2.34 ± 0.72, P< 0.0001) at day 30, 60 and 90. At the end of the treatment, palpation pain, limitation of mobility, joint crepitus, swelling and redness showed significant improvements (P< 0.01). Intake of concomitant medication was observed in 32 (30.48%) patients. No major adverse reactions were reported. Conclusion: Overall, this preliminary study concluded that TriNyros was found to be effective and well tolerated in reducing pain and improving general condition in osteoarthritis of the knee.

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)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.129
GPT teacher head0.451
Teacher spread0.322 · 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 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".

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Citations2
Published2020
Admission routes1
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