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Record W3011992929 · doi:10.1002/acr2.11123

Modified Disease Activity Score at 3 Months Is a Significant Predictor for Rapid Radiographic Progression at 12 Months Compared With Other Measures in Patients With Rheumatoid Arthritis

2020· article· en· W3011992929 on OpenAlexaff
Mohammad Movahedi, Deborah Weber, Pooneh Akhavan, Edward Keystone

Bibliographic record

VenueACR Open Rheumatology · 2020
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineAdalimumabInternal medicineRheumatoid arthritisReceiver operating characteristicMethotrexateOdds ratioRheumatoid factorArea under the curveLogistic regressionConfounding

Abstract

fetched live from OpenAlex

OBJECTIVE: Progressive rheumatoid arthritis (RA) is responsible for joint damage causing disabilities, but there is no agreement on which disease measures best predict radiographic progression. We aimed to determine which disease activity measures, including the disease activity score, the modified disease activity score in 28 joints with C-reactive protein testing (M-DAS28-CRP), the Clinical Disease Activity Index, and the Health Assessment Questionnaire Disability Index, at baseline and 3 months best predicted rapid radiographic progression (RRP) in patients with early RA. METHODS: Data were used from PREMIER, a 2-year, multicenter, double-blind, active comparator controlled study with methotrexate (MTX)-naïve patients with RA and active disease for less than 3 years. Treatments included adalimumab plus oral MTX, adalimumab, or oral MTX. Only patients in the MTX arm were analyzed in this study. RRP was defined as a change in the modified total Sharp score of less than 3.5 at month 12. The logistic regression analysis assessed the impact of measures at baseline and 3 months on RRP at 12 months. Best cutoff points of the M-DAS28-CRP were also estimated by using area under the receiver operating characteristic curve. RESULTS: A total of 149 patients were included (female patients: n = 113 [75.8%]; positive rheumatoid factor: n = 127 [85.2%]; mean [SD] age: 52.9 [13.3] years; mean [SD] disease duration: 0.8 [0.9] year; mean [SD] M-DAS28-CRP: 6.3 [0.9]). After adjusting for potential confounders, only the M-DAS28-CRP at baseline (adjusted odds ratio [AOR] = 3.29; 95% confidence interval [CI]: 1.70-6.36) and 3 months (AOR = 2.56; 95% CI: 1.43-4.56) strongly predicted RRP at 12 months. M-DAS28-CRP of 4.5 and 2.6 at baseline and 3 months, respectively, maximized positive and negative predictive values for prediction of RRP. CONCLUSION: The M-DAS28-CRP was a stronger predictor at baseline and 3 months for RRP compared with other disease activity measures. Removing tender joint count and patient global assessment from the DAS28-CRP improves prediction of RRP.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.270
Teacher spread0.240 · 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 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

Citations8
Published2020
Admission routes1
Has abstractyes

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