Toward a transitional care from childhood and adolescence to adulthood in surgical neurooncology? A lesson from the Necker-Enfants Malades and the Sainte-Anne Hospitals collaboration
Bibliographic record
Abstract
OBJECTIVE: Transitional care in surgical neurooncology is poorly studied. However, this period is pivotal, since it allows the patient to be empowered in his or her disease management. Here, the authors describe the experience of the Necker-Enfants Malades and the Sainte-Anne Hospital collaboration. METHODS: The mixed transitional consultations started in September 2019 in a dedicated space for transitional care, named the "La Suite" department, located in the Necker-Enfants Malades Hospital, Paris, France. The authors organized planned consultations to schedule the clinical and radiological follow-up in the adult neurosurgical department but also emergency consultations to manage tumor recurrence in young adult patients. Transitional care was performed jointly by pediatric and adult neurosurgeons who have developed clinical and research skills in the field of surgical neurooncology. Neuropathological analysis was performed by a neuropathologist who is specialized in pediatric and adult neurooncology. RESULTS: Fourteen patients benefited from a mixed transitional consultation. All of them accepted to start their management in an adult neurosurgical environment. Eleven patients (78.6%) for whom the disease was controlled benefited from a planned consultation. Three patients (21.4%) required rapid neurosurgical management for a tumor recurrence (n = 2) or for a new primary CNS tumor (n = 1) and benefited from an emergency consultation. CONCLUSIONS: For adult patients harboring a brain tumor during childhood or adolescence, the authors suggest that neurosurgeons specialized in adult surgical neurooncology with a full knowledge in pediatric neurooncology will combine the required skills to optimize care management for these patients within a dedicated multidisciplinary organization framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| 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".