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Record W2310321662 · doi:10.1097/jim.0000000000000158

Fractalkine (CX3CL1): A Biomarker Reflecting Symptomatic Severity in Patients with Knee Osteoarthritis

2015· article· en· W2310321662 on OpenAlex
Li Wei Huo, Yong Liang Ye, Guang Wei Wang, Yong Guang Ye

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Investigative Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicChemokine receptors and signaling
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineCX3CL1BiomarkerInternal medicineSynovial fluidKnee painChemokineGastroenterologyInflammationPathologyChemokine receptor

Abstract

fetched live from OpenAlex

BACKGROUND: Elevated serum and synovial fluid (SF) fractalkine (CX3CL1) levels have been detected in patients with knee osteoarthritis (OA). The current study was carried out to investigate the association between serum and SF fractalkine levels with symptomatic severity in patients with knee OA. METHOD: One hundred ninety-three patients with OA and 182 healthy controls were enrolled in this study. The symptomatic severity was assessed by the Western Ontario McMaster University Osteoarthritis scores. RESULTS: Fractalkine levels in SF and serum were both positively associated with self-reported greater pain and physical disability. CONCLUSIONS: Fractalkine in SF and serum may serve as a biomarker for reflecting symptomatic severity. Therapeutic interventions that target fractalkine signaling pathways to delay OA-related symptoms deserve further study.

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.

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)0.003
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 score0.066
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.302
Teacher spread0.251 · 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