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Record W3195639731 · doi:10.37506/ijfmt.v15i3.16001

The Effect of Combination of Turmeric and Black Pepper Extracts in Osteoarthritis of the Knee

2021· article· en· W3195639731 on OpenAlexaboutno aff
Zahraa matheel Nasir, Haidar M. Jawad, Sami S. Salman

Bibliographic record

VenueIndian Journal of Forensic Medicine & Toxicology · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsnot available
Fundersnot available
KeywordsPiperineCurcuminOsteoarthritisWOMACMedicinePlaceboBioavailabilityPharmacologyCurcumaInternal medicineTraditional medicineGastroenterologyPathology

Abstract

fetched live from OpenAlex

The management of osteoarthritis (OA) remains a challenge. Curcumin is basically a spice that is known for its anti-inflammatory properties. In vitro studies suggest that curcumin could be beneficial for cartilage in OA. Piperine, derived from black pepper, is added to Curcumin to increase its bioavailability. The aim of this randomized, double blind trial was to evaluate the effects of combination curcumin plus piperine in knee OA patients.A total of 43patients were randomly assigned to receive the fixed dose combination (curcumin 500 mg plus piperine 5 mg) or placebo twice daily for three months and was evaluated using a Western Ontario MacMaster (WOMAC) score. Results revealed the serum levels of High Sensitivity C - reactive protein (HS-CRP)and Human Cross Linked C-Telopeptide of Type II Collagen (CTX-II) were changedafter 3 months of treatment. In conclusions: The treatment with curcumin was globally well tolerated. It significantly decreased the WOMAC score and NSAIDS uses. Serum level of CTXII significantly reduced (p<0.001) and tended to decrease serum HS-CRP. In addition, curcumin significantly reduced body mass index,this may point toward that curcuminoids has role in weight reduction,and hence, lower risk of OA

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.006
GPT teacher head0.225
Teacher spread0.220 · 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 designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Forensic Medicine & ToxicologySame topicAntimicrobial Peptides and ActivitiesFrench-language works237,207