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Record W2019011319 · doi:10.1002/art.20696

Serum levels of matrix metalloproteinase 3 and macrophage colony‐stimulating factor 1 correlate with disease activity in ankylosing spondylitis

2004· article· en· W2019011319 on OpenAlexaff
Chunhua Yang, Jieruo Gu, Markus Rihl, Dominique Baeten, Feng Huang, Mian-song Zhao, Hanwei Zhang, Walter P. Maksymowych, Filip De Keyser, Eric Veys, David Tak Yan Yu

Bibliographic record

VenueArthritis Care & Research · 2004
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnkylosing spondylitisBASDAIMedicineInfliximabMatrix metalloproteinaseInternal medicineMatrix Metalloproteinase 3SpondylitisGastroenterologyTumor necrosis factor alphaImmunologyLogistic regressionDiseaseMetalloproteinaseMatrix metalloproteinase 9Macrophage colony-stimulating factorMacrophageBiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the usefulness of measuring serum matrix metalloproteinase 3 (MMP-3) and macrophage colony-stimulating factor (M-CSF) in patients with ankylosing spondylitis (AS). METHODS: Serum levels of MMP-3 and M-CSF were measured in AS patients who did and did not receive infliximab treatment. These were compared with those of 28 healthy subjects. RESULTS: In the group of AS patients not treated with biologics, both M-CSF and MMP-3 correlated with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) values, but not with each other. Logistic regression analysis showed that MMP-3 values were high in those with severely active disease. Infusions of infliximab in AS patients led to a significant decrease in the values of the BASDAI as well as the serum MMP-3, but no change in the serum M-CSF values. CONCLUSION: MMP-3 and M-CSF are potentially useful markers of AS disease activity.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.040
GPT teacher head0.358
Teacher spread0.317 · 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

Citations78
Published2004
Admission routes1
Has abstractyes

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