Head and Neck Melanoma Incidence Trends in the Pediatric, Adolescent, and Young Adult Population of the United States and Canada, 1995-2014
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».