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Record W4402050457 · doi:10.1039/d4fo01640h

Effectiveness and safety of steamed ginger extract on mild osteoarthritis: a randomized, double-blind, placebo-controlled clinical trial

2024· article· en· W4402050457 on OpenAlexaboutno aff
Hyang-Im Baek, Lei Shen, Ki-Chan Ha, Yu Kyung Park, Cha Soon Kim, Jeong Eun Kwon, Soo-Jung Park

Bibliographic record

VenueFood & Function · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicGinger and Zingiberaceae research
Canadian institutionsnot available
FundersKorea Food Research InstituteMinistry of Agriculture, Food and Rural Affairs
KeywordsOsteoarthritisPlaceboDouble blindMedicineRandomized controlled trialClinical trialTraditional medicineInternal medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

as GGE03) group and administered 1.6 g of the product for 12 weeks. Biomarkers were measured before and after intervention. At the efficacy endpoint, pain visual analog scale (VAS) Korean-Western Ontario and McMaster University Osteoarthritis Index (K-WOMAC; total scores, sub-scores) and patient global assessment (PGA) were found to be decreased in a statistically significantly manner in the GGE03 group compared to the placebo group. No significant changes were observed in any safety endpoint. These results suggest that GGE03 intake is useful as a functional food because it has beneficial effects in terms of improving joint pain as well as managing or preventing knee OA without side effects.

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)0.001
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.166
GPT teacher head0.476
Teacher spread0.309 · 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
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

Citations12
Published2024
Admission routes1
Has abstractyes

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