Endoscopic treatment of Cis-T2 glottic cancer with a CO2 laser: 2-year survival analysis of 36 cases.
Bibliographic record
Abstract
OBJECTIVE: To report our 2-year survival outcomes for early glottic carcinoma using microsurgical resection with the CO2 laser. DESIGN: A prospective study. METHODS: Outcomes from a cohort of 36 patients with glottic cancer staged Cis-T2 (7 Cis, 17 T1, 12 T2) who underwent endoscopic resection using a CO2 laser between January 2002 and June 2005 were studied. The mean follow-up was 27 months (range 0-54 months). All follow-ups were performed at our multidisciplinary head and neck oncology clinic at Dalhousie University, Halifax, Nova Scotia. RESULTS: Using a Kaplan-Meier survival analysis, the 2-year recurrence-free survival for the cohort was 89%, with a standard error of 6.7%. At the time of the study, no patient had died of laryngeal cancer, one patient had died of other disease, and one patient was lost to follow-up. There had been three recurrences in the cohort, two local recurrences (T1), and one recurrence in a regional lymph node (T2). After salvage, all patients with recurrences were disease free at the time of the study. Of 35 cases with follow-up, 60% had no reported problems with voice on their last visit and 17% reported consistent hoarseness or weakness. CONCLUSION: These results justify the continued treatment of early glottic carcinoma with CO2 laser microsurgery at our centre.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".