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Enregistrement W3201215375 · doi:10.1093/jjco/hyab097

Age-specific larynx cancer incidence rate in the world

2021· article· en· W3201215375 sur OpenAlexaboutno aff
Hadrien Charvat, Eiko Saito

Notice bibliographique

RevueJapanese Journal of Clinical Oncology · 2021
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer-related molecular mechanisms research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineLarynxIncidence (geometry)Cancer incidenceCancerOncologyInternal medicineSurgery

Résumé

récupéré en direct d'OpenAlex

In order to make a comparison of the age-specific skin cancer incidence rate between Japan and other countries, we abstracted cancer incidence rate from the Cancer Incidence in Five Continents Vol. XI (CI5) (1). The International Agency for Research on Cancer provides the CI5 databases on the incidence of cancer recorded by cancer registries (regional and national) worldwide. We used cancer incidence rate in five countries in Asia (China, India, Japan, Republic of Korea and Thailand), three countries in America (the USA, Canada and Brazil), two countries in Oceania (Australia and New Zealand) and four countries in Europe (the UK, France, Germany and Italy). Some countries have plural cancer registries and we aggregated all registries to calculate the incidence rate in the countries from the CI5-XI database. The period of years at cancer diagnosis was from 2008 to 2012. Larynx cancer was coded as C32 based on ICD-10. The figures show the age-specific incidence rates of laryngeal cancer by 5-year age groups for the selected countries in males (Fig. 1), and in females (Fig. 2). From a general point of view, the pattern of incidence is very similar across countries and gender: laryngeal cancer is very rare in the first two decades of life; its incidence rises steeply to reach a peak in late adulthood and then plateaus or decreases slightly in extreme age categories. Age-specific larynx cancer incidence rate per 100 000 person-years at risk in male. For men, the curves are very similar within each world region. In Asia, the peak, varying from 18.5 to 32.3 cases per 100 000 person-years at risk, is generally reached in the 75–79- or 80–84-year age groups, with slightly higher incidence rates observed in India. For America and Oceania, the peak is generally observed in the same age groups and varies from 20.0 to 44.4 cases per 100 000 person-years at risk; Brazil has consistently higher incidence rates and reaches its peak sooner than the other countries of the region. In Europe, the phase of steep increase in the incidence rate is homogeneous across the selected countries. The peak, varying between 26.0 and 43.8 cases per 100 000 person-years at risk, is reached sooner than in the other two world region, in the 65–69- or 70–74-year age groups, and the incidence rates subsequently tend to plateau until ages 85 years and over. Italy exhibits higher incidence rates than the other countries in older age categories. The pattern of incidence for women is comparable to that of men but the rates are much smaller, with a maximum ranging from 1.4 and 5.0 per 100 000 person-years at risk in Asia, from 3.3 to 6.0 for America and Oceania and from 3.4 to 4.9 in Europe. The shapes of the age-specific incidence curves are very similar to those observed in men. In Asia, the incidence rates begin to plateau from the 60–64-year age group, and India shows higher incidence rates consistently across the age categories. For America and Oceania, there is some heterogeneity in the age-incidence curves between countries with the USA and Brazil showing consistently higher incidence rates. The peak is usually reached in the 65–69 or 70–74-year age groups and the incidence rates then decrease in older age groups. In Europe, as for men, the phase of steep increase of the age-specific incidence rate is very similar between countries. The curves then tend to reach a plateau from the 50–54-year age group, with the UK and Italy showing slightly higher incidence rates than France and Germany. Note: Data were downloaded from the Global Cancer Observatory (GCO), which is an interactive web-based platform presenting global cancer statistics (https://gco.iarc.fr/). Responsibility for this presentation and interpretation lies with the authors of this article. Age-specific larynx cancer incidence rate per 100 000 person-years at risk in female. The authors declare no conflict of interest.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,819
Score d'incertitude au seuil0,404

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,088
Tête enseignante GPT0,457
Écart entre enseignants0,368 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2021
Routes d'admission1
Résumé présentoui

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