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Record W1844488212 · doi:10.1186/ar1581

The value of serum type II collagen epitope measurement in assessing early clinical response to treatment with anti-tumour necrosis factor alpha therapy in rheumatoid arthritis

2005· article· en· W1844488212 on OpenAlexaff
RH Mullan, Tatiana Lobanok, Ceara AE Walsh, Lindsay King, Oliver FitzGerald, Barry Bresnihan, Ursula Fearon, RM Poole, Douglas J. Veale

Bibliographic record

VenueArthritis Research · 2005
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsShriners Hospitals for Children - Canada
FundersNational Center for Research ResourcesNational Institutes of HealthDeutsches KrebsforschungszentrumDutch Arthritis AssociationHungarian Scientific Research FundVlaamse regeringStudienstiftung des Deutschen VolkesDeutsche ForschungsgemeinschaftQueen Mary University of LondonCancer Research UKWellcome TrustFondation pour la Recherche MédicaleNorthwestern University
KeywordsComputer science

Abstract

fetched live from OpenAlex

Current guidelines on the use of anti-tumour necrosis factor alpha (anti-TNF-α) therapies in rheumatoid arthritis (RA) recommend a 3-month trial of the drug before a clinical assessment of treatment efficacy can be made. The serum level of the type II collagen propeptide CPII correlates with type II collagen synthesis, and is elevated in RA. The collagen cleavage neo-epitope C2C is specific for the destruction of type II collagen by the collagenases MMP-1, MMP-8 and MMP-13. Previously we have shown that the ratio of C2C/CPII is increased in osteoarthritis and correlates with cartilage destruction. The current pilot study assessed the utility of serum measurement of C2C and CPII in predicting early response to treatment with anti-TNF-α therapy in a group of 20 RA patients.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
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 head0.097
GPT teacher head0.398
Teacher spread0.301 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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