Increasing Trends in Mortality Rate Among Salivary Gland Tumors in Non-Geriatric African Americans
Bibliographic record
Abstract
Background: The treatment of salivary gland tumors has not changed significantly in the past two decades. However, the increase in the geriatric population with these tumors poses a new challenge for their management. This study explores the incidence-based mortality trends in the geriatric and non-geriatric population for the time period of 2000 - 2014 and compares the trends between races. Methods: Mortality data were extracted from the Surveillance, Epidemiology, and End Results (SEER) Database for the years 2000 - 2014. Incidence-based mortality for all stages of salivary gland tumors was queried and the results were grouped by age (geriatric vs. non-geriatric determined as 65 vs. below 65 years of age) and race (Caucasian/White, African American/Black, American Indian/Alaskan native and Asian/Pacific Islander). All stages and both genders were included in the analysis. T -test was used to determine statistically significant difference between various subgroups. Linearized trend lines were used to visualize the mortality trends between various subgroups (geriatric vs. non-geriatric and Caucasian vs. African American). Results: Incidence-based mortality for salivary gland tumors has worsened since 2000 to 2014 for both geriatric and non-geriatric patients (P < 0.05). There was a statistically significant difference between these two groups in both Caucasian/White patients and African American/Black patients. Notably, the worst incidence-based mortality rates were noted in African American/Black non-geriatric patients followed by Caucasian/White non-geriatric patients. However, there was no statistical difference in incidence-based mortality between Caucasian/White patients and African American/Black geriatric patients. Conclusions: The similarity in incidence-based mortality for geriatric patients with salivary gland tumors in both Caucasian/White patients and African American/Black groups suggests that the effects of race may not be pronounced in the elderly population. The high rate of incidence-based mortality in African American/Black non-geriatric patients may suggest environmental influence and warrants further study. World J Oncol. 2022;13(2):96-101 doi: https://doi.org/10.14740/wjon1420
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| 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 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".