A Swiss real world best practice experience in three different clinical settings of the 6 hour fingolimod first dose observation procedure
Bibliographic record
Abstract
BACKGROUND: The Swiss label of oral fingolimod (0.5 mg once daily) requires a 6-hour first dose observation (FDO) including an ECG prior to and 6 hours after the first intake but in comparison to other countries such as Austria, Australia and Canada there are no restrictions regarding the clinical settings of the FDO procedure in Switzerland. We present here our real-world experience of the 6 hour FDO procedure in three different clinical settings, following fingolimod treatment initiation. This is the first report on the FDO of fingolimod in these real-world clinical settings in Swiss patients with multiple sclerosis (MS). METHODS: This was a retrospective, multi-clinic, observational study of 136 patients with relapsing-remitting multiple sclerosis. Summary statistics have been used to present the data. RESULTS: Only two patients (<1.5% [2/136]) experienced symptoms after the first dose of fingolimod. Atrioventricular conduction abnormalities were reported in 3% (4/136) of patients, which resolved spontaneously within 24 hours of treatment initiation. During the average 6.8 months follow-up, 96% (131/136) of the patients remained on therapy CONCLUSIONS: These findings support the safety and feasibility of FDO and tolerability of fingolimod in real-world clinical settings.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".