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Record W2471329098 · doi:10.1177/0961203316655213

Treatment pathways in an inception lupus cohort over the first three years

2016· article· en· W2471329098 on OpenAlexaff
John G. Hanly, Amyn Sayani, Steve Doucette, Sandra Iczkovitz, Jorge Alfonso Ross Terres

Bibliographic record

VenueLupus · 2016
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsCapital District Health AuthorityGlaxoSmithKline (Canada)Queen Elizabeth II Health Sciences CentreDalhousie University
Fundersnot available
KeywordsMedicineRheumatologyInternal medicineSystemic lupus erythematosusCohortDemographicsSystemic lupusDiseaseDemography

Abstract

fetched live from OpenAlex

Objective The treatment algorithm for new onset systemic lupus erythematosus (SLE) is less well defined than for other rheumatic diseases. We examined the treatment patterns in an inception cohort of SLE patients over the first three years of disease between 2000 and 2010. Methods Patients fulfilled the American College of Rheumatology classification criteria for SLE within 12 months of enrollment and completed three subsequent annual visits. Data collection included patient demographics, SLE manifestations, medications, SLE disease activity index-2K (SLEDAI-2K) and Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage index. Analysis included descriptive statistics and repeated measures mixed models. Results Seventy-nine patients, 83.5% female and 91.1% Caucasian were studied. At baseline the mean (SD) age was 40.6 (16.4) years, disease duration was 0.36 (0.28) years and SLEDAI-2K was 5.7 (4.6). Over three years, cumulative use of corticosteroids, antimalarials and immunosuppressants was 53.2%, 77.2% and 40.5% respectively. Corticosteroids were usually used in combination with antimalarials and/or immunosuppressants. Between baseline and final assessments the use of corticosteroids fell (44.3% vs 15.2%) in contrast to antimalarials (55.7% vs 70.9%) and immunosuppressants (26.6% vs 34.2%). Of 44/79 (55.7%) patients not receiving corticosteroids at baseline 84.1% remained off corticosteroids for the study duration. Thirty-seven of 79 (46.8%) patients never received corticosteroids and only 5/79 (6.3%) at all four assessments. Patients taking corticosteroids at baseline had higher mean (SD) daily dose and cumulative dose over three years compared with patients not on corticosteroids at baseline (9.0 (0.8) vs 0.3 (1.3) mg; 10.8 (8.5) vs 0.3 (1.2) g). As a group, SLE patients who used corticosteroids either at baseline, at any time in the three year study or in high cumulative doses had the highest average disease activity scores over the same time frame and had a significant fall in SLEDAI-2K scores ( p < 0.05) compared with patients not exposed to corticosteroids. Conclusion Use of corticosteroids occurred in approximately half of new onset SLE, usually in combination with antimalarials and/or immunosuppressants. It was associated with both higher disease activity at baseline and improvement over time. Patients who did not receive corticosteroids at presentation were unlikely to do so over the next three years.

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)0.004
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.032
GPT teacher head0.292
Teacher spread0.260 · 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".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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