Functional outcomes and laryngectomy-free survival after transoral CO₂ laser microsurgery for stage 1 and 2 glottic carcinoma.
Bibliographic record
Abstract
OBJECTIVE: To compare the functional and oncologic outcomes of transoral CO₂ laser microsurgery relative to radiotherapy for early-stage glottic carcinoma. DESIGN: Functional analysis: population-based, prospective, nonrandomized consecutive series of stage 1 and 2 glottic carcinoma treated with laser surgery (n = 54) or radiotherapy (n = 25). Oncologic analysis: population-based, historical cohort comparing laser surgery (n = 54) and radiotherapy (n = 76). SETTING: Academic cancer centre. METHODS AND OUTCOME MEASURES: Functional results were prospectively collected prior to treatment and at 3, 6, 12, and 24 months following treatment using validated performance scales assessing general level of function, speech, and swallowing. Oncologic results were collected from a larger cohort from the cancer registry of CancerCare MB. RESULTS: Laser surgery resulted in a voice that was less likely to be understood all the time (Performance Status Scale for Head and Neck Cancer Patients: understandability score < 100; OR = 12.2; p = .03) and a higher likelihood of having a Voice Handicap Index (VHI-10) score of 10 or more (OR = 16.2; p = .001). Five-year laryngectomy-free survival rates for laser versus radiation were 87 versus 76% (p = .16). Subset analysis revealed that stage 1 5-year laryngeal preservation rates for laser (n = 51) versus radiation (n = 46) were 100 versus 86% (p = .02). CONCLUSIONS: There is a higher likelihood of hoarseness after laser surgery, but the severity of this handicap is mild in most patients. Laser microsurgery results in excellent laryngeal preservation rates, which may exceed those of radiation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".