Functional outcomes of the modified submandibular gland transfer procedure
Bibliographic record
Abstract
OBJECTIVES: Treatment for advanced head and neck cancers typically includes surgery followed by radiation therapy (RT). Radiation-induced xerostomia is a common sequela of these treatments. The modified submandibular gland transfer (M-SGT) procedure was developed to decrease xerostomia in the treatment of oral cavity cancer by sparing one submandibular gland (SMG) from radiation. This study's objectives were to: 1) elucidate the radiation-sparing capacity of the M-SGT, and 2) study the xerostomia-reducing potential of the M-SGT based on the University of Washington Quality-of-Life Questionnaire (UW-QOL). METHODS: Radiation therapy treatment plans were reviewed for all patients treated with surgery and RT who had a M-SGT at the University of Alberta Hospital during the study period. Outcomes included: 1) radiation dose received by the transferred SMG within the periparotid area compared to the submandibular triangle (ST), and 2) patient-reported saliva scores on the UW-QOL compared to historical controls without a gland transfer. RESULTS: Twenty-two patients were included. The mean radiation dose received by the transferred SMG was 29.00 grays (Gy) (standard deviation 14.59 Gy), thus reducing the mean radiation dose to the SMG by a statistically significant 18.34 Gy (confidence interval 95% (13.37, 23.32), P < 0.01) compared to the ST and below the D50 of the SMG (34 Gy). Sixty-five percent of patients rated their saliva as normal or mildly reduced on the UW-QOL as compared to 16% of controls (P = 0.01). CONCLUSION: The M-SGT technique is successful at reducing the radiation dose sustained by the SMG during adjuvant treatment and provides a significant improvement in xerostomia-related functional outcomes as compared to historical controls not receiving a gland transfer. LEVEL OF EVIDENCE: 4 Laryngoscope, 130:925-929, 2020.
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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) | 0.001 | 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 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".