Salivary Gland Cancer in Patients Younger than 30 Years
Bibliographic record
Abstract
Previous research has shown that salivary gland tumors are rare in the young population. A clinical diagnosis has to be made very carefully because the proportion of malignancies is higher in children than in adults. We present a review of cases of malignant salivary gland carcinoma (SGC) in patients younger than 30 years of age. Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) 17 Registry. A total of 763 patients younger than 30 years with carcinoma of a major salivary gland from 1973 to 2004 were identified within the SEER database. The most common salivary gland cancer was mucoepidermoid parotid gland carcinoma. The incidence of all major salivary gland carcinomas increased with increasing patient age. The 5-year relative survival rate for salivary gland carcinomas in our population was calculated according to the Kaplan-Meier analysis in each age group. Relative 5-year survival was 100% in the 1 patient younger than 1 year, 50.0% in the 1- to 4-year-old group; 87.2% among the 5- to 9-year-olds; 97.0% among the 10- to 14-year-olds; 95.0% among the 15- to 19-year-olds; 95.1% among the 20- to 24-year-olds; and 93.6% in the 25- to 29-year-old group. We found that SGC affects patients of all ages, even children in the first year of life. It is essential for physicians to detect salivary gland neoplasms promptly and to evaluate them thoroughly when they are found in children.
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 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) | 0.004 | 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".