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Record W2261730971 · doi:10.7754/clin.lab.2015.150135

Increased Synovial Fluid YKL-40 Levels are Linked with Symptomatic Severity in Knee Osteoarthritis Patients

2015· article· en· W2261730971 on OpenAlexaboutno aff
Jian Guan, Liu Zhang, Feng Li, Jianshu Feng, Huajun Wang, Jian-Guo Chu, Yong-zhou Song, Lei Xie, Luo-Bin Ding

Bibliographic record

VenueClinical Laboratory · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicStudies on Chitinases and Chitosanases
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACMedicineSynovial fluidInternal medicineBiomarkerGastroenterologyKnee painArthritisSeverity of illnessPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Elevated serum and synovial fluid (SF) YKL-40 levels have been detected in knee osteoarthritis (OA) patients. The current study was focused on the correlation between YKL-40 levels in serum or SF and symptomatic severity in patients with knee osteoarthritis. METHODS: 144 patients with knee OA and 151 healthy individuals were recruited into this study. Symptomatic severity was determined using Western Ontario and McMaster Universities Arthritis Index (WOMAC) scores from OA patients. Serum and SF levels of YKL-40 were explored by enzyme-linked immunosorbent assay. RESULTS: We found that YKL-40 levels in SF but not serum were independently and positively related to WOMAC pain (r = 0.531, p = 0.001), physical disability (r = 0.380, p = 0.025), and total scores (r = 0.407, p = 0.01) in knee OA patients. CONCLUSIONS: YKL-40 in SF could represent a potential biomarker for assessing the symptomatic severity 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.023
GPT teacher head0.287
Teacher spread0.264 · 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 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".

Quick stats

Citations18
Published2015
Admission routes1
Has abstractyes

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