Interruption of enzyme replacement therapy in Gaucher disease
Bibliographic record
Abstract
In Australia, 58 patients with Gaucher disease were managed by a Gaucher Disease Advisory Committee (GDAC) through a centrally adminis-tered national programme, the Life Savings Drug Program (LSDP). In June 2009, Genzyme Corporation, which manufactures imiglucerase (Cerezyme), the only enzyme replacement therapy (ERT) registered for the treatment of Gaucher disease in Australia at that time, announced that due to a viral contamination problem there would be no further shipments of Cerezyme to Australia prior to the end of 2009. The GDAC allocated available drug supplies in order to maintain treatment to those most in need on a hierarchal clinical severity basis. A cohort of 24 patients with Type 1 Gaucher disease was withdrawn from therapy, 22 of whom had no discernible clinically significant adverse effects when reviewed off therapy for up to 6 months. In this paper, we review the course of 20 of the patients who have been on imiglucerase for periods of at least 24 months after the end of their 'drug holiday'. No patient experienced a bone crisis nor clinical nor magnetic resonance imaging evidence of new avascular necrosis events during this period. Two years after recommencing ERT after a 6-month drug holiday, no patient had developed an overt irreversible complication of their Gaucher disease, with the majority returning to their previous clinical status.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".