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Record W7133018913

UNCOVER: Understanding Near-term Care Of Very Early Rheumatoid arthritis in a national, multi-centre, randomly selected, historical inception cohort of newly diagnosed disease

2007· dissertation· W7133018913 on OpenAlexaboutno aff
Ruben Tavares

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsRheumatoid arthritisCohortPharmacotherapyRheumatologyLogistic regressionErythrocyte sedimentation rateRetrospective cohort studyDisease
DOInot available

Abstract

fetched live from OpenAlex

Rationale. Clinical guidelines for rheumatoid arthritis (RA) pharmacotherapy recommend initiating disease modifying anti-rheumatic drugs (DMARDs) within three months of established disease and three months of symptoms are required to establish a diagnosis with certainty. Unfortunately, data on delays to accessing DMARD therapy for early RA is lacking from Canada. These patients may not be receiving optimal treatment in a timely manner. Purpose. To determine the proportion of Canadian RA patients treated with DMARDs within six months of symptom onset; to determine the predictors and components of time to treatment; and, to characterize early pharmacotherapy and clinical management in usual care. Methods. A retrospective chart audit of 339 randomly selected adult patients, clinically diagnosed with RA between June 2001 and May 2003 from the practices of 18 rheumatology specialists. Time to DMARD treatment was determined using Kaplan-Meier analysis. Multivariable logistic regression (LR) and Cox modeling using Markov Chain Monte Carlo multiple imputed data was conducted to determine predictors of delay. Bootstrapping was used to validate LR models. Median component delays and frequency estimates of pharmacotherapies and clinical assessments utilized were determined. Results. Subjects were 50 +/- 14 years at symptom onset and 75.5% were female. At baseline, subjects had a median (interquartile range) of 10 (6,14) swollen and 13 (8,19) tender joints, an erythrocyte sedimentation rate (ESR) of 32 (20,46) mm/h, and C-reactive protein (CRP) of 29 (14,37) mg/L, 69.9% of subjects were rheumatoid factor positive (RF+), 40.4% had an arthritic comorbidity, 41.9% previously consulted another rheumatologist, and the majority (85.0%) were previously treated with non-steroidal anti-inflammatory drugs (NSAIDs). Within six months of symptom onset, 39.1% were treated with DMARDs. Multivariable predictors of increased time from symptom onset to treatment included the existence of an arthritic comorbidity, female gender, and younger age at symptom onset. Previously consulting another rheumatologist and seeing an academic investigator were associated with decreased time to treatment. The major delays occurred prior to rheumatology referral (78%), of which, 27% occurred prior to NSAID therapy. Therapy with DMARDs was initiated a median of 70 days prior diagnosis confirmation. The most common first DMARDs were hydroxychloroquine (HCQ, 55.5%) and methotrexate (MTX, 40.1%). At DMARD initiation, 47.2% were prescribed a combination therapy, including multiple DMARDs for 16.5% and DMARD-corticosteroid combinations for 30.7%. Laboratory assessments frequently accompanied referral letters (81.0%). Joint examination (40.7%), pain (50.2%), function (28.9%), and radiographs (49.7%) were infrequently included in referral letters. Except for radiography (55.5%), all other assessments noted above were conducted at a frequency of greater than 80% at baseline and follow-up by the investigator. Formal assessments of disease activity (DAS, 0.3%; DAS28, 8.6%), functional (HAQ, 34.6%; MHAQ, 16.0%), and pain (VAS, 43.6%) were infrequently collected over follow-up. Conclusions. Almost 40% of RA patients are treated with DMARDs within six months of symptom onset. The largest components of delays to treatment precede referral to rheumatologic care. On average, patients are treated with DMARDs prior to the confirmation of a diagnosis. Attention should be given to the development of RA symptoms in patients with arthritic comorbidities, lesser age, and females, as these variables predict increased time to treatment. Underlying characteristics of subjects who consult a single rheumatologist leading up to diagnosis and those referred to nonacademic specialists need to be explored as they also predict increased time to treatment. In light of patients being started on DMARDs in advance of a confirmed diagnosis, as well as the low proportion of patients with high disease activity early in the disease course, the initial DMARD care provided may be considered aggressive with nearly 50% receiving either multiple DMARDs or single-DMARD-corticosteroid combinations at this time point. The potential improvement in rheumatologic care achievable with tight monitoring of patients should be met with increased frequency of formal disease activity, function, pain and radiography assessments over the course of care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.387
Threshold uncertainty score0.770

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.023
GPT teacher head0.322
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2007
Admission routes1
Has abstractyes

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