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Record W2159773018 · doi:10.3899/jrheum.120757

Interleukin 22, a Potential Therapeutic Target for Rheumatoid Arthritis

2012· letter· en· W2159773018 on OpenAlexvenueno aff
Qiang Xie, Shi‐Cun Wang, ­Jun Li­

Bibliographic record

VenueThe Journal of Rheumatology · 2012
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRheumatoid arthritisInternal medicineBiomarkerInterleukinClinical diseaseImmunologyArthritisRheumatoid factorDiseaseGastroenterologyCytokine

Abstract

fetched live from OpenAlex

To the Editor: A recent report by Da Rocha, et al indicated that levels of interleukin 22 (IL-22) were increased in patients with rheumatoid arthritis (RA) compared with controls; levels of IL-22 correlated with Disease Activity Score (DAS28) and Clinical Disease Activity Index measures, rheumatoid factor positivity was correlated with higher levels of IL-22 in patients with RA, and the presence of bone erosions was associated with high IL-22 levels1. These findings suggest that IL-22 may be a good biomarker for assessment of activity in RA, and IL-22 seems to be a potential therapeutic target for RA. Other studies have indicated the similar relationship between IL-22 and RA, … Address correspondence to Dr. Li; E-mail: lijun{at}ahmu.edu.cn

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.281
Teacher spread0.262 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations10
Published2012
Admission routes1
Has abstractyes

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