Considerations in Transition of Pediatric Neurology Patients to Adult Care
Bibliographic record
Abstract
Background: Transition refers to the planned, coordinated movement of adolescents from the child- and family-centered environment of pediatric care to the adult healthcare system. A well-structured transition process is essential for ensuring adolescents with chronic health conditions continue to thrive in young adulthood. Poor transitions can lead to negative health outcomes, worsening of comorbidities such as anxiety and depression, and poorer psychosocial well-being. Methods: This topical review combines literature from general pediatrics, adolescent medicine, general child neurology, and child neurology subspecialities to provide holistic recommendations for the transition of pediatric patients to adulthood. Conclusions: Core principles of transition include starting transition planning early, creating individualized transition plans, providing support before transition, and ensuring ongoing support after transition to adult care. For adolescents with neurological conditions, additional considerations include recognizing that many childhood neurological disorders are now lifelong conditions, addressing the impact of varying levels of intellectual disability, reevaluating the diagnosis at the time of transfer, and establishing emergency care planning.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".