Approaches to developing de novo cancer population models to examine questions about cancer and race in bladder, gastric, and endometrial cancer and multiple myeloma: the Cancer Intervention and Surveillance Modeling Network incubator program.
J Natl Cancer Inst Monogr
; 2023(62): 219-230, 2023 11 08.
Article
en En
| MEDLINE
| ID: mdl-37947329
ABSTRACT
BACKGROUND:
We are developing 10 de novo population-level mathematical models in 4 malignancies (multiple myeloma and bladder, gastric, and uterine cancers). Each of these sites has documented disparities in outcome that are believed to be downstream effects of systemic racism.METHODS:
Ten models are being independently developed as part of the Cancer Intervention and Surveillance Modeling Network incubator program. These models simulate trends in cancer incidence, early diagnosis, treatment, and mortality for the general population and are stratified by racial subgroup. Model inputs are based on large population datasets, clinical trials, and observational studies. Some core parameters are shared, and other parameters are model specific. All models are microsimulation models that use self-reported race to stratify model inputs. They can simulate the distribution of relevant risk factors (eg, smoking, obesity) and insurance status (for multiple myeloma and uterine cancer) in US birth cohorts and population.DISCUSSION:
The models aim to refine approaches in prevention, detection, and management of 4 cancers given uncertainties and constraints. They will help explore whether the observed racial disparities are explainable by inequities, assess the effects of existing and potential cancer prevention and control policies on health equity and disparities, and identify policies that balance efficiency and fairness in decreasing cancer mortality.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias Uterinas
/
Neoplasias Endometriales
/
Mieloma Múltiple
Límite:
Female
/
Humans
País como asunto:
America do norte
Idioma:
En
Año:
2023
Tipo del documento:
Article