Indicators of cure for women living after uterine and ovarian cancers: a population-based study.

Cancer prevalence Cervical cancer Corpus uteri cancer Cure Fraction Long-term Survival Mixture cure models Ovarian cancer Time to Cure

Journal

American journal of epidemiology
ISSN: 1476-6256
Titre abrégé: Am J Epidemiol
Pays: United States
ID NLM: 7910653

Informations de publication

Date de publication:
15 Apr 2024
Historique:
received: 21 08 2023
revised: 29 01 2024
medline: 17 4 2024
pubmed: 17 4 2024
entrez: 17 4 2024
Statut: aheadofprint

Résumé

This study aims to estimate long-term survival, cancer prevalence, and several cure indicators for Italian women with gynaecological cancers. Thirty-one cancer registries, representing 47% of the Italian female population, were included. Mixture cure models were used to estimate Net Survival (NS), Cure Fraction, Time To Cure (5-year conditional NS>95%), Cure Prevalence (women who will not die of cancer), and Already Cured (living longer than Time to Cure). In 2018, 0.4% (121,704) of Italian women were alive after corpus uteri cancer, 0.2% (52,551) after cervical, and 0.2% (52,153) after ovarian cancer. More than 90% of patients with uterine cancers and 83% with ovarian cancer will not die from their neoplasm (Cure Prevalence). Women with gynaecological cancers have a residual excess risk of death <5% after 5 years since diagnosis. The Cure Fraction was 69% for corpus uteri, 32% for ovarian, and 58% for cervical cancer patients. Time To Cure was ≤10 years for women with gynaecological cancers aged <55 years. 74% of patients with cervical cancer, 63% with corpus uteri cancer, and 55% with ovarian cancer were Already Cured. These results will contribute to improving follow-up programs for women with gynaecological cancers and supporting efforts against discrimination of already cured ones.

Identifiants

pubmed: 38629583
pii: 7646051
doi: 10.1093/aje/kwae044
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

Auteurs

Classifications MeSH