Surgical margins after open versus transoral surgery for oropharyngeal cancer and their impact on the need for multimodal treatments
Bibliographic record
Abstract
Objective: transoral) and the subsequent risk of additional treatments. Methods: Medical databases were searched including PubMed, Scopus, EMBASE, and Cochrane Library from January 2000 to August 2024. Data analysis was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis, and the quality of studies was evaluated using the Newcastle-Ottawa Scale. Results: Four studies, including 305 patients (126 treated by an open approach, and 179 by transoral surgery), were qualitatively analysed. No significant difference was found in the rates of positive margins (p = 0.422) or need for adjuvant therapy (p = 0.368) between the two approaches. It was not feasible to conduct a meta-analysis due to significant inconsistencies in the reporting of data across the studies included. Conclusions: Transoral approach is recommended for early-stage OPSCC when adequate exposure is achievable, although its impact on positive surgical margins remains unclear. The management of close or positive margins remains debated due to the oropharyngeal unique anatomy and function, with no clear de-intensification protocol established.
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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 | 0.009 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.013 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".