Intratracheal Dilation-injection Technique in the Treatment of Granulomatosis with Polyangiitis Patients with Subglottic Stenosis
Bibliographic record
Abstract
OBJECTIVE: An analysis of subglottic stenosis (SGS) occurrence frequency in patients with granulomatosis with polyangiitis (GPA) based on the time of appearance of clinical symptoms, and an assessment of treatment effectiveness, in particular with the intratracheal dilation-injection technique (IDIT). METHODS: Review and treatment with IDIT of 34 patients with SGS associated with GPA. RESULTS: SGS developed in 34 of 250 patients with GPA (13.6%) and was not reflective of disease activity in the organs in 15 of 34 patients (44%): 11 cases after and 4 cases during immunosuppressive therapy (IST) when patients did not have organ symptoms. All patients underwent IDIT and in total, the treatment resulted in immediate improvement. In addition, in 21 cases, IST was applied because of other organ involvement or of the lack of longterm efficacy of IDIT. The median time of response was 37 months and the median interval between sessions was 5 months. None of the patients required tracheostomy after beginning IDIT in our hospital. CONCLUSION: SGS often occurs independently of other features of active GPA. IDIT is a safe and effective technique in the treatment of GPA-related SGS. It should be performed in all patients with GPA who develop significant SGS and in those with multiorgan disease concomitantly with IST. In patients with isolated SGS, IDIT also makes IST and tracheostomy unnecessary.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".