Long-term Outcomes of Submandibular Gland Transfer for Prevention of Postradiation Xerostomia
Bibliographic record
Abstract
BACKGROUND: Xerostomia is a permanent and devastating sequela of head and neck irradiation, and its numerous consequences affect most aspects of the patient's life. A new method of preserving and protecting a single submandibular gland from radiation damage through the Seikaly-Jha procedure (SJP) has recently been described. OBJECTIVE: To report the long-term outcomes of the SJP. DESIGN: Inception cohort. Patients The trial was conducted between February 1, 1999, and February 1, 2002. All patients were followed up through the head and neck cancer clinic at the Cross Cancer Institute. All data were collected by a dedicated research nurse. Salivary function was evaluated at regular intervals with salivary flow studies and questionnaires. RESULTS: Ninety-six patients were enrolled in the study, and 38 had a minimum of 2 years' follow-up. The cohort of 38 patients was composed of 2 groups: 26 patients had preservation of one submandibular gland through the SJP, while the remaining 12 did not. Salivary flow was preserved in the SJP group, in which 83% of patients reported normal amounts of saliva 2 years after radiotherapy, compared with none in the SJP group. There were no disease recurrences on the side of the transferred gland or in the submental space. There were no surgical complications attributed to the transfer procedure. CONCLUSIONS: The SJP prevented xerostomia in 83% of the study patients. The approach appears to be oncologically sound and safe.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".