Transition of care from adolescence to early adulthood in severe asthmatic patients treated with omalizumab in real life
Bibliographic record
Abstract
Transitional care consists of managing patients with chronic disease or disability from the pediatric to the adult care system [1–3]. It aims to prepare adolescents to manage their disease to become autonomous young adults, and to avoid any gap in the disease management. To succeed, transitional care must be an integral part of the management, coordinated by the healthcare team [3, 4]. However, to date, transition period remains critical in current practice, with a risk of loss to follow-up and deterioration in the health of adolescents with chronic conditions [5]. Footnotes This manuscript has recently been accepted for publication in the ERJ Open Research . It is published here in its accepted form prior to copyediting and typesetting by our production team. After these production processes are complete and the authors have approved the resulting proofs, the article will move to the latest issue of the ERJOR online. Please open or download the PDF to view this article. Conflict of interest: Camille Taillé reports support for the present manuscript from Novartis. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Astrazeneca, Chiesi, GSK, Novartis, Sanofi, outside the submitted work. Conflict of interest: Arnaud Bourdin reports support for the present manuscript from Novartis. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Astrazeneca, Chiesi, GSK, Novartis, Sanofi, outside the submitted work. Conflict of interest: Antoine Deschildre reports support for the present manuscript from Novartis. Grants or contracts from Fondation du Souffle; Conseil Régional Hauts-de- France”- program 2014–2018 (grant number: ARCiR 2015–284), outside the submitted work; consulting fees from Novartis, ALK, GSK, Sanofi, Aimmune Therapeutics, DBV Technologies, Nestlé Health Science, Boehringer Ingelheim, outside the submitted work; Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Novartis, ALK, GSK, Sanofi, Aimmune Therapeutics, DBV Technologies, Nestlé Health Science, Boehringer Ingelheim, outside the submitted work; Support for attending meetings and/or travel from ALK, Sanofi, Boehringer Ingelheim, Stallergenes Greer, Novartis, Astra-Zeneca, Meda, DBV Technologies, Aimmune, Nutricia, outside the submitted work. Participation on Data Safety Monitoring Board (DSMB) for BOOM study: BOOM study ClinicalTrials.gov identifier: [NCT04045301][1] Lead Investigator: Philippe Bégin (Montreal), outside the submitted work. Conflict of interest: Marc HUMBERT reports support for the present manuscript from Novartis. Consulting fees from Astrazeneca, Chiesi, GSK, Novartis, Sanofi, outside the submitted work. Payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Astrazeneca, GSK, Novartis, Sanofi, outside the submitted work. Conflict of interest: Audrey Lajoinie reports support for the present manuscript from Novartis. Conflict of interest: Mathieu Molimard reports support for the present manuscript from Novartis. Consulting fees from Novartis and Stallergen, outside the submitted work; Participation on a Data Safety Monitoring Board or Advisory Board for Banook, outside the submitted work. Conflict of interest: Céline Thonnelier reports support for the present manuscript from Novartis. [1]: /lookup/external-ref?link_type=CLINTRIALGOV&access_num=NCT04045301&atom=%2Ferjor%2Fearly%2F2024%2F02%2F15%2F23120541.00976-2023.atom
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".