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Record W2509470849 · doi:10.7600/jspfsm1949.53.559

COLLAGEN AND GLUCOSAMINE HYDRATE SUPPLEMENTATION IMPROVE THE JOINT MARKERS IN HUMANS

2004· article· en· W2509470849 on OpenAlexaff
Muneshige Shimizu, Kotaro Fujita, Jun Ichikawa, Fumiki Morimatsu, Naoki Mukai

Bibliographic record

VenueJapanese Journal of Physical Fitness and Sports Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsConestoga Meat Packers (Canada)
Fundersnot available
KeywordsGlucosamineMatrix metalloproteinaseHydrateChemistryInflammationInternal medicineMedicineBiochemistry

Abstract

fetched live from OpenAlex

The present study was designed to examine the positive impact of collagen and glucosamine hydrate supplementation on joint markers, matrix metalloproteinase-3 (MMP-3), tissue inhibitor of metalloproteinases-1 (TIMP-1) and keratane sulfate (KS) . Thirteen healthy fun-runners supplemented collagen and glucosamine hydrate for 30 days. Blood samples were collected on days 0, 15 and 30. The test-drink supplement, however, significantly decreased MMP-3 and KS on days 15 and 30. These results suggest that the supplementation of collagen and glucosamine hydrate may prevent injury and inflammation of joint cartilages and be useful for joint conditions.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.286

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJapanese Journal of Physical Fitness and Sports MedicineSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207