Paediatric-to-adult transition experience in vasculitis: report of a model of care and outcomes.
Bibliographic record
Abstract
OBJECTIVES: Transitioning from paediatric to adult care can be challenging. Whereas transition models of care have been shared in some rheumatological conditions, reported experience in vasculitis is lacking. METHODS: Retrospective chart review of adolescents aged 16-18 years assessed at the vasculitis transition clinic by paediatric and adult rheumatologists, and then scheduled for follow-up at the Adult Vasculitis Clinic (Toronto, Canada) from January 2013 until May 2020. RESULTS: Twenty-eight patients were seen at the transition clinic and included. Mean age at transition was 17 years and 11 (± SD 2) months, with a mean follow up from diagnosis of 32 (± 24) months. Most patients had ANCA-associated vasculitis (N=19, 39%), followed by Takayasu's arteritis (N=4, 14%); all but one were in remission at the time of transition. Twenty-six (93%) patients showed up for their first booked adult visit (two did not, were called and rebooked), after a mean of 4 (± 2) months after transition clinic. Subsequently, two patients missed 1 appointment, and three missed ≥ 2 appointments; only one (4%) stopped coming, while in remission for >2 years post-transition. Five (18%) patients were identified to have medication non-adherence after transition. With a mean follow up post-transition of 32 (± 25) months, 7 (25%) patients had minor and five (18%) had major relapses, at a mean of 17 (± 9) and 25 (± 15) months post-transition, respectively (compared to 12 (43%) and 9 (32%) prior to transition). At their last visit, all were in remission, 18 (64%) off glucocorticoids, and damage had remained stable. CONCLUSIONS: This model of care of vasculitis transition clinic resulted in favourable outcomes, as reflected by continuity of follow-up, and no increased risk of relapse.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".