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Enregistrement W4297457662 · doi:10.1093/jjco/hyac152

International variations in soft tissue sarcoma incidence in children and adolescents

2022· article· en· W4297457662 sur OpenAlexaboutno aff
Laureline Gatellier, Tomohiro Matsuda

Notice bibliographique

RevueJapanese Journal of Clinical Oncology · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueSarcoma Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineIncidence (geometry)Soft tissue sarcomaSoft tissueSarcomaPediatricsRadiologyPathology

Résumé

récupéré en direct d'OpenAlex

In order to compare the subtype distribution of soft tissue sarcoma in children and adolescents between Japan and other countries, we extracted information on cancer incidence in children and adolescents from the third volume of the International Incidence of Childhood Cancer series (IICC-3) (1). The IICC-3 reports the number or incidence rates of cancers diagnosed in childhood and adolescence, from cancer registries (regional or national) worldwide. We analysed soft tissue sarcoma incidence in four countries in Asia (Japan, China, the Republic of Korea and Thailand), two countries in Africa (Egypt and Uganda), four countries in the Americas (North: The United States of America and Canada, Latin and Caribbean: Brazil and Colombia), three countries in Europe (the United Kingdom [UK], France and Germany) and two countries in Oceania (Australia and New Zealand). Information from the Republic of Korea, USA, UK, Australia and New Zealand was obtained at the national level, and that from the other countries was extracted from one or multiple regional cancer registries. The years of incidence included in the analyses varied from country to country, ranging from 1990 to 2014, with the shortest being 12 years (Egypt: 1999–2010, UK: 2000–2011) and the longest being 24 years (Japan and China: both 1990–2013). In this study, we compared the incidence and proportional distribution of soft tissue sarcoma subtypes in children (0–14 years old) and adolescents (15–19 years old) between these countries. As shown in Table 1, with the exception of Uganda, the incidence rates of soft tissue sarcomas varied between 5.0 and 10.3 per 1 000 000 person-year in children (0–14 years old) and between 5.5 and 11.5 per 1 000 000 persons-year in adolescents (15–19 years old), with rhabdomyosarcomas as the leading subtype for most countries. In contrast, in Uganda, due to higher incidence of Kaposi sarcoma, sarcoma incidence rates were notably higher than other countries, respectively, representing 36.2 and 38.2 per 1 000 000 persons-year in children and adolescents. For all countries, incidence rates were consistently higher for adolescents than for children in all countries. Both for children and adolescents, the incidence rate was lowest in Asia, followed in turn by Europe and America (Latin and Caribbean), Oceania and America (North). Incidence rates were outlying in Africa, with relatively low rates in Egypt, and highest rates in Uganda in comparison to all other countries (up to 7-fold of lowest incidence rate). Incidence rates of soft tissue sarcoma in children and adolescents (per 1 000 000 person-years) aAge-standardized incidence rate. Figure 1 shows the proportional distribution of subtypes of soft tissue sarcoma incidence in children aged 0–14 years by country. Except for Uganda, the most frequently identified subtypes were rhabdomyosarcoma (with proportions ranging from 41.2% in China to 60.3% in Brazil), followed by fibrosarcoma (with proportions ranging from 5.9% in France to 13.6% in China). Other specified ranged from 21.9% for Brazil to 36.3% for Egypt. Uganda was an exception for all subtypes as the most frequent subtype was Kaposi sarcoma (proportion of 78.6%, by contrast with all other countries, for which the proportion ranged from 0.0% for most countries and up to 0.6% for the remaining ones), followed by rhabdomyosarcoma (13.5%) and fibrosarcoma (2.2%). Proportional distribution of subtype of soft tissue sarcoma in children (0–14 years old). Figure 2 shows the proportional distribution of subtypes of soft tissue sarcoma in adolescents aged 15–19 years. Proportions of subtypes showed highest differences in rhabdomyosarcoma and ‘other specified’, with an average of decrease by half for rhabdomyosarcomas (range of 11.8% for Uganda to 29.3% in New Zealand, including a most prominent decrease for France, from 56.4% for children to 16.5% for adolescents). In line with the decrease of rhabdomyosarcoma, ‘other specified’ turned into the most prominent subtype, again apart from Uganda, ranging from 36.6% for Brazil to 60.7% in Egypt. The proportion of Kaposi sarcoma in adolescents remained similar to that of for children (70.9% in Uganda and below 4.6% for all other countries). Proportional distribution of subtype of soft tissue sarcoma in adolescents (15–19 years old). Note: Data were extracted from the third volume of the International Incidence of Childhood Cancer series (IICC-3) (1). The table and figures are prepared by the authors of this article, and the responsibility for this presentation and its interpretation lies with the authors of this article.

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)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,077
Score d'incertitude au seuil0,354

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
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 ouverte0,0000,000
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 Opus0,043
Tête enseignante GPT0,418
Écart entre enseignants0,375 · 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'étudeObservationnel
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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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