Outcomes of contralateral prophylactic mastectomy in relation to familial history: a decision analysis (BRCR-D-16-00033).

Background: Family history of breast cancer is associated with an increased risk of contralateral breast cancer (CBC) even in the absence of mutations in the breast cancer susceptibility genes BRCA1/2. We compared quality-adjusted survival after contralateral prophylactic mastectomy (CPM) with surveillance only (no CPM) among women with breast cancer incorporating the degree of family history.

Methods: We created a microsimulation model for women with first-degree, second-degree, and no family history treated for a stage I, II, or III estrogen receptor (ER)-positive or ER-negative breast cancer at the ages of 40, 50, 60, and 70.

Overtreatment and Cost-Effectiveness of the See-and-Treat Strategy for Managing Cervical Precancer.

Background: See-and-treat using loop electrosurgical excision procedure (LEEP) has been recommended as an alternative in managing high-grade cervical squamous intraepithelial lesions, but existing literature lacks evidence of the strategy's cost-effectiveness. We evaluated the overtreatment and cost-effectiveness of the see-and-treat strategy compared with usual care.

Methods: We modeled a hypothetical cohort of 40-year-old females who had not been screened for cervical cancer and followed them through their lifetimes using a Markov model.

Disparities in cervical cancer survival among Asian-American women.

Purpose: We compared overall survival and influencing factors between Asian-American women as a whole and by subgroup with white women with cervical cancer.

Methods: Cervical cancer data were from the Surveillance, Epidemiology, and End Results registry; socioeconomic information was from the Area Health Resource File. We used standard tests to compare characteristics between groups; the Kaplan-Meier method with log-rank test to assess overall survival and compare it between groups; and Cox proportional hazards models to determine the effect of race and other covariates on overall survival (with and/or without age stratification).

An alternative approach for estimating the accuracy of colposcopy in detecting cervical precancer.

Introduction: Since colposcopy helps to detect cervical cancer in its precancerous stages, as new strategies and technologies are developed for the clinical management of cervical neoplasia, precisely determining the accuracy of colposcopy is important for characterizing its continued role. Our objective was to employ a more precise methodology to estimate of the accuracy of colposcopy to better reflect clinical practice.

Study Design: For each patient, we compared the worst histology result among colposcopically positive sites to the worst histology result among all sites biopsied, thereby more accurately determining the number of patients that would have been underdiagnosed by colposcopy than previously estimated.

Better contralateral breast cancer risk estimation and alternative options to contralateral prophylactic mastectomy.

The incidence of contralateral prophylactic mastectomy (CPM) has increased among women with breast cancer, despite uncertain survival benefit and a declining incidence of contralateral breast cancer (CBC). Patient-related reasons for undergoing CPM include an overestimation of the risk of CBC, increased cancer worry, and a desire to improve survival. We summarize the existing literature on CBC risk and outcomes and the clinical benefit of CPM among women with unilateral breast cancer who have a low-to-moderate risk of developing a secondary cancer in the contralateral breast.

Inverse decision theory with applications to screening and diagnosis of cervical intraepithelial neoplasia.

Objective: Medical decision makers would like to use decision theory to determine optimal treatment strategies for patients, but this requires priors, likelihoods, and losses. It can be very difficult to specify a loss or utility function in a medical setting, especially when considering both patient health outcomes and economic costs. These issues led to the development of Inverse Decision Theory (IDT), which involves determining the set of losses under which a given decision rule is optimal.