Head and Neck Melanoma Incidence Trends in the Pediatric, Adolescent, and Young Adult Population of the United States and Canada, 1995-2014
Bibliographic record
Abstract
IMPORTANCE: Melanoma is one of the most common cancers worldwide, typically diagnosed in older adults. There is an increasing incidence in the younger population (age ≤40 years) in America. In addition, approximately 1 in 5 cases of melanoma affect the head and neck. However, there are limited data on the incidence of head and neck melanoma in the pediatric, adolescent, and young adult population in North America (United States and Canada). OBJECTIVE: To assess 20-year demographic and incidence changes associated with head and neck melanoma in the pediatric, adolescent, and young adult population in North America. DESIGN, SETTING, AND PARTICIPANTS: A descriptive analysis of retrospective data on head and neck melanoma from the North American Association of Central Cancer Registries' Cancer in North America public use data set from 1995 to 2014 was conducted. The data set currently includes 93% of the United States and 64% of the Canadian populations. Eligible data were from 12 462 pediatric, adolescent, and young adult patients (aged 0-39 years) with a confirmed diagnosis of melanoma (International Classification of Diseases-Oncology 3 histologic types 8720-8790) in primary head and neck sites: skin of lip, not otherwise specified (C44.0); eyelid (C44.1); external ear (C44.2); skin of other/unspecified parts of face (C44.3); and skin of scalp and neck (C44.4). The study was conducted from January 26 to July 21, 2019. MAIN OUTCOMES AND MEASURES: Log-linear regression was used to estimate annual percentage change in age-adjusted incidence rates (AAIRs) of head and neck melanoma. RESULTS: Of the 12 462 patients with head and neck melanoma included in the study, 6810 were male (54.6%). The AAIR was 0.51 per 100 000 persons (95% CI, 0.50-0.52 per 100 000 persons). In North America, the incidence of head and neck melanoma increased by 51.1% from 1995 to 2014. The rate was higher in the United States (AAIR, 0.52; 95% CI, 0.51-0.53 per 100 000 person-years) than Canada (AAIR, 0.43; 95% CI, 0.40-0.45 per 100 000 persons). In the United States, the incidence increased 4.68% yearly from 1995 to 2000 and 1.15% yearly from 2000 to 2014. In Canada, the incidence increased 2.18% yearly from 1995 to 2014. Male sex (AAIR, 0.55; 95% CI, 0.54-0.57 per 100 000 persons), older age (AAIR, 0.79; 95% CI, 0.79-0.80 per 100 000 persons), and non-Hispanic white race/ethnicity (AAIR, 0.79; 95% CI, 0.77-0.80 per 100 000 persons) were associated with an increased incidence of head and neck melanoma. CONCLUSIONS AND RELEVANCE: The incidence of pediatric, adolescent, and young adult head and neck melanoma in North America appears to have increased by 51.1% in the past 2 decades, with males aged 15 to 39 years the main cohort associated with the increase.
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) | 0.000 | 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".