Proposal for a Structured Outpatient Clinic for Dupilumab Treatment in Chronic Rhinosinusitis with Nasal Polyps in the First Year of Treatment
Bibliographic record
Abstract
Chronic rhinosinusitis with nasal polyps (CRSwNP) is a common disease of the nose and paranasal sinuses with important economic and sanitary burdens, as well as having a great impact on patients' quality of life. In this field, a new therapeutic approach for those patients who have been described as affected by severe uncontrolled CRSwNP, resistant to medical and best surgical treatment, is represented by subcutaneous human monoclonal antibodies (including dupilumab) that block specific targets involved in the type 2 inflammatory pathway which most commonly drives CRSwNP pathophysiology. This paper aims to report our experience in the management of severe uncontrolled CRSwNP and, in particular, describe our diagnostic workup including baseline evaluation and follow-up visits in the first year of treatment. We also describe into detail our multidisciplinary approach to the disease. We finally report the outcomes of treatment in a real-life setting. In this outpatient real-life setting, our results confirmed the effectiveness of dupilumab in reducing the volume of nasal polyps and restoring nasal obstruction and sense of smell, as well as improving patients' quality of life. The adherence to the dupilumab treatment was very high. The dose of administration was never modified in patients in the first year of treatment. All the patients respected the plan of the visits at proposed time points. We believe that the structural organization of our outpatient clinic appears to be functional: it allows us to study patients thoroughly before starting treatment and to make a proper follow-up after it starts. We believe that sharing both our strict clinical flowchart and growing experience with dupilumab with the medical community can lead to more standardized and effective pathways of care for CRSwNP patients.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".