19 research outputs found

    Predictive modeling for determination of microscopic residual disease at primary cytoreduction: An NRG Oncology/Gynecologic Oncology Group 182 Study

    Get PDF
    Microscopic residual disease following complete cytoreduction (R0) is associated with a significant survival benefit for patients with advanced epithelial ovarian cancer (EOC). Our objective was to develop a prediction model for R0 to support surgeons in their clinical care decisions.Demographic, pathologic, surgical, and CA125 data were collected from GOG 182 records. Patients enrolled prior to September 1, 2003 were used for the training model while those enrolled after constituted the validation data set. Univariate analysis was performed to identify significant predictors of R0 and these variables were subsequently analyzed using multivariable regression. The regression model was reduced using backward selection and predictive accuracy was quantified using area under the receiver operating characteristic area under the curve (AUC) in both the training and the validation data sets.Of the 3882 patients enrolled in GOG 182, 1480 had complete clinical data available for the analysis. The training data set consisted of 1007 patients (234 with R0) while the validation set was comprised of 473 patients (122 with R0). The reduced multivariable regression model demonstrated several variables predictive of R0 at cytoreduction: Disease Score (DS) ( < 0.001), stage ( = 0.009), CA125 ( < 0.001), ascites ( < 0.001), and stage-age interaction ( = 0.01). Applying the prediction model to the validation data resulted in an AUC of 0.73 (0.67 to 0.78, 95% CI). Inclusion of DS enhanced the model performance to an AUC of 0.83 (0.79 to 0.88, 95% CI).We developed and validated a prediction model for R0 that offers improved performance over previously reported models for prediction of residual disease. The performance of the prediction model suggests additional factors (i.e. imaging, molecular profiling, etc.) should be explored in the future for a more clinically actionable tool

    Needs assessment of menopause education in United States obstetrics and gynecology residency training programs.

    No full text
    OBJECTIVE: This study aimed to assess the variance in menopause education, educational resources, and the needs of obstetrics and gynecology (ObGyn) residency programs by conducting a national survey of program directors (PDs). METHODS: In 2022, an institutional review board-approved Web-based Qualtrics survey was designed and distributed electronically to 145 US ObGyn residency PDs. The survey consists of 15 questions. The main outcomes are reported using descriptive statistics. RESULTS: The survey was completed by 99 of 145 PDs (68.3%). Almost all participants (92.9%) strongly agreed that residents nationwide should have access to a standardized menopause curriculum that could be utilized in their programs. Only 31.3% reported having a menopause curriculum in their residency program. Of the programs with a menopause curriculum, 96.8% reported using lectures, 77.4% reported assigned readings, and 74.2% had either dedicated menopause clinics or other clinics with a high volume of menopausal patients. Of all programs surveyed, only 29.3% reported that trainees had dedicated time assigned to a menopause clinic. A total of 83 of 99 PDs agreed or strongly agreed that their programs needed more menopause educational resources, and most (89.7%) stated they were likely or very likely to use self-paced menopause modules that include performance feedback if available. CONCLUSIONS: Data from the needs assessment questionnaire revealed that menopause education and resources vary across residency programs, with the majority lacking a dedicated menopause curriculum. Most PDs expressed a desire for more educational resources and standardized training materials, and preferred to access an online national menopause curriculum
    corecore