The minimal clinically important difference of the dyspnea index in laryngotracheal stenosis
Bibliographic record
Abstract
OBJECTIVE: The Dyspnea Index (DI) is a validated patient-reported outcome (PRO) instrument that has been used in the management of laryngotracheal stenosis (LTS). The minimal clinically important difference (MCID) is an established concept to help determine the change in a PRO instrument that reflects meaningful change for the patient. It is not known what change in the DI is of clinical significance in airway surgery. This study aims to determine the MCID for the DI in patients undergoing surgical treatment for LTS. METHODS: This is a prospective cohort study in which 26 patients with LTS completed the DI (score range 0 to 40) before and 6 to 8 weeks postoperatively, in addition to a Global Ratings Change Questionnaire (GRCQ), scored from -7 to +7, at the postoperative interval. A hypothesis test was carried out to test the association between GRCQ and change in DI. The MCID for change in DI was determined using anchor-based analysis. RESULTS: Overall mean change in DI was -11, and mean change in GRCQ was +5. Change in DI scores were significantly different among the improvement and no improvement groups (P value <0.002). Area under the receiver operating curve was 0.92, demonstrating high discriminatory ability of the change in DI score. A change of -4 was determined to be the threshold that discriminated between significant improvement and no improvement. CONCLUSION: A decrease of 4 in the DI can be considered as the MCID for patients with LTS after surgical treatment. LEVEL OF EVIDENCE: 2b Laryngoscope, 130:1775-1779, 2020.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".