Gradual Glucocorticosteroid Withdrawal Is Safe in Clinically Quiescent Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVES: Patients with systemic lupus erythematosus (SLE) are usually treated with glucocorticosteroids even during periods of clinically quiescent disease. A recent study showed that abrupt glucocorticoid withdrawal was associated with an increased likelihood of flare in the next 12 months. The aim of the present study was to assess clinical flare rates and damage accrual in patients who tapered glucocorticosteroids gradually. METHODS: Patients from the Toronto Lupus Clinic with 2 consecutive years of clinically quiescent disease were retrieved from the database. Individuals who maintained a low prednisone dose (5 mg/day) comprised the maintenance group, whereas patients who gradually tapered prednisone within these two years comprised the withdrawal group. All individuals were followed for 2 years after prednisone discontinuation or the corresponding date for the maintenance group. Propensity score matching was implemented to adjust for certain baseline differences. Outcomes included clinical flares and damage accrual. RESULTS: Of 270 eligible patients, 204 were matched (102 in each group). Flare rate (any increase in clinical SLE Disease Activity Index 2000) was lower in the withdrawal group both at 12 (17.6% versus 29.4%; P = 0.023) and 24 months (33.3% versus 50%; P = 0.01). Moderate to severe flares (requiring systemic treatment escalation) were not different at 12 months (10.8% versus 13.7%; P = 0.467) but were less frequent at 24 months (14.7% versus 27.5%; P = 0.024). Damage accrual was less frequent in the withdrawal group (6.9% versus 17.6%; P = 0.022). No predictors for clinical flares were identified. CONCLUSION: Gradual glucocorticoid withdrawal is safe in clinically quiescent SLE and is associated with fewer clinical flares and less damage accrual at 24 months.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".