Abstract A44: The prevalence of prognostic and treatment features for breast cancer survival: Are they different for First Nations women compared to other women in Ontario, Canada?
Notice bibliographique
Résumé
Background: There is growing literature in the United States proposing that the distribution of some prognostic features for cancer may vary by ethnic/racial status. Among Canadian cancer registries, data on prognostic features, as well as treatment, ethnicity, socioeconomic status, are not routinely collected. To determine these characteristics, data from medical charts of the cancer patient is abstracted. Previous work in Ontario, Canada has demonstrated that survival after a breast cancer diagnosis is poorer among First Nations women compared to other Ontario women. The purpose of this study is to identify the distribution of prognostic features and treatment received among First Nations and non-First Nations women diagnosed with breast cancer from 1995 to 2004 in Ontario. Study Design: This study employed a case-case design using the cohort of First Nations people in Ontario to identify 297 women diagnosed with invasive breast cancer between 1995 and 2004. Concurrently, a random sample of 694 non-First Nations women were selected through the population-based cancer registry at Cancer Care Ontario and matched 2 to 1 on five-year date of diagnosis, age at diagnosis (15–54 vs. 55+), and Integrated Cancer Program (ICP) first attended. Data on stage at diagnosis, treatment received, risk factors and co-morbid conditions was collected from medical charts at the provincial ICP. Analysis: Univariate analyses were calculated by First Nations status. Results: A similar proportion of First Nations women are screened with mammography; stage at diagnosis is later for First Nations women (71% are diagnosed at stage II or higher compared to 55% among other Ontario women); proportions of women receiving chemo/hormonal therapy are similar; proportion of women undergoing biopsies and surgeries are similar, however the distribution of each procedure is different (for instance, modified radical mastectomies are 14% higher among First Nations women); and proportion of women having radiotherapy are lower for First Nations women. Conclusions: It is important to identify the prognosis and treatment factors that influence breast cancer survival in First Nations women. These preliminary findings will be further explored and controlled for variables such as socioeconomic status and other tumor characteristics. Once better understood, actions can be taken to improve the prognosis and treatment of First Nations women with breast cancer.
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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 | 0,001 | 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 ».