Breast cancer mortality and mammography screening in Europe, the United States of America, Canada, and Australia.
Notice bibliographique
Résumé
1576 Background: Since the 1990s, important changes in the detection and management of breast cancer have taken place and subsequent declines in mortality are observed in most high income countries. Breast cancer mortality trends were analysed from 1989 to 2012 in 31 European countries and in the United States of America (USA), Canada and Australia to investigate the role of of screening on the observed declines. Methods: Age-standardised breast cancer mortality rates were calculated using data in the WHO database. Percent changes in mortality trends were assessed over the period 1989-2012. Data on mammography screening were available in the literature and countries were classified according to screening implementation: early, delayed, late and uncommon screening. Results: From 1989 to 2012, mortality reductions of 20% or more were observed in twenty-five countries overall. Mortality reductions in countries that implemented nationwide screening in the late 1980s with high participation rates (early screening) were similar or lower than in countries where nationwide screening was implemented 12-15 years later (delayed screening) or where participation in 2005 was still low (late screening). With similar mortality rates in 1987-89, lower mortality reductions were observed in Finland (-19.4%) and Sweden (-26.6%), where national screening programmes were launched in the late 1980s, than in Portugal (-26.8%), Spain (-34.4%) or Norway (-38.7%) where screening was introduced 12-15 years later and more progressively. Similar reductions were observed in the Netherlands (-36.3%), where early screening was implemented, and in Denmark (-34.9%) or Ireland (-34.9%) with late screening. Moreover, mammography screening was mainly implemented in women aged 50-69 years but the largest decline in mortality was observed in women less than 50 in the 31 European countries and in the USA, Canada and Australia. Conclusions: Downward trends in breast cancer mortality prevail in most European countries and in the USA, Canada and Australia. Differences in mortality reductions between countries seem to be less influenced by screening programs and may have more to do with advances in breast cancer management.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».