Demographics, Patterns of Care, and Survival in Pediatric Medulloblastoma

We evaluated the American College of Surgeon’s National Cancer Data Base (NCDB) to describe current hospital-based epidemiologic frequency, survival, and patterns of care of pediatric medulloblastoma. We analyzed NCDB 1998–2011 data on medulloblastoma for children ages 0–19 years using logistic and poisson regression, Kaplan–Meier survival estimates, and Cox proportional hazards models. 3647 cases of medulloblastoma in those aged 0–19 years were identified. Chemotherapy was received by 79 and 74% received radiation, with 65% receiving both therapies. Those who received radiation were more likely to be older than four, while those who received chemotherapy were more likely to be age four and younger. Variables associated with receipt of neither radiation nor chemotherapy included age at diagnosis of \u3c 1 year, female gender, being of race other than black or white, having no insurance, and living in a residential area with a low level of high school graduates. Better overall survival was observed as age at diagnosis increased, in females, and having received radiation. Compared to medulloblastoma, NOS, better survival was observed for those with demoplastic medulloblastoma, with worse survival in those with large cell medulloblastoma. Majority received multi- disciplinary therapy and radiation had the greatest effect on survival. Ages four and under were most likely to receive chemotherapy and least likely to receive radiation. Suboptimal treatment included 17.8% that did not receive chemotherapy, of which 11.8% received neither chemotherapy nor radiation. Disparities associated with medical access were characteristics for not receiving standard treatment, which resulted in poor outcome

Racial differences in stage at diagnosis and survival from epithelial ovarian cancer: A fundamental cause of disease approach

Associations between race, socioeconomic status (SES) and health outcomes have been well established. One of the ways in which race and SES affect health is by influencing one's access to resources, which confers ability to avoid or mitigate adverse outcomes. The fundamental cause of disease approach argues that when a new screening tool is introduced, individuals with greater resources tend to have better access to the innovation, thus benefiting from early detection and leading to better survival. Conversely, when there is no established screening tool, racial and SES differences in early detection may be less pronounced. Most ovarian cancer is diagnosed at advanced stages, because of the lack of an effective screening tool and few early symptoms. However, once detected, racial differences may still be observed in mortality and survival outcomes. We examined the racial differences in diagnosis and survival among ovarian cancer cases diagnosed during 1994-1998, in Cook County, Illinois (N = 351). There were no racial differences in the stage at diagnosis: 51.7% of white and 52.9% of black women were diagnosed at later stages (III and IV). Only age was associated with the stage at diagnosis. Tumor characteristics also did not differ between white and black women. Compared to white women, black women were less likely to be married, less educated, more frequently used genital powder, had tubal ligation, and resided in higher poverty census tracts. As of December 31, 2005, 44.3% of white and 54.5% of black women had died of ovarian cancer. Controlling for known confounding variables, the hazard ratio for ovarian cancer death between black and white women was 2.2. The findings show that fundamental cause perspective provides a potential framework to explore subtleties in racial disparities, with which broader social causes may be accounted for in explaining post diagnosis racial differences.USA Ovarian cancer Stage at diagnosis, fundamental cause of disease Survival Mortality Race Ethnicity

The sweet spot revisited: optimal recall rates for cancer detection with 2D and 3D digital screening mammography in the Metro Chicago Breast Cancer Registry

OBJECTIVE. One central question pertaining to mammography quality relates to discerning the optimal recall rate to maximize cancer detection while minimizing unnecessary downstream diagnostic imaging and breast biopsies. We examined the trade-offs for higher recall rates in terms of biopsy recommendations and cancer detection in a single large health care organization. MATERIALS AND METHODS. We included 2D analog, 2D digital, and 3D digital (tomosynthesis) screening mammography examinations among women 40-79 years old performed between January 1, 2005, and December 31, 2017, with cancer follow-up through 2018. There were 36, 67, and 38 radiologists who read at least 1000 2D analog examinations, 2D digital examinations, and 3D tomosynthesis examinations, respectively, who were included in these analyses. Using logistic regression with marginal standardization, we estimated radiologist-specific mean recall (abnormal interpretations/1000 mammograms), biopsy recommendation, cancer detection (screening-detected in situ and invasive cancers/1000 mammograms), and minimally invasive cancer detection rates while adjusting for differences in patient characteristics. RESULTS. Among 1,060,655 screening mammograms, the mean recall rate was 10.7%, the cancer detection rate was 4.0/1000 mammograms, and the biopsy recommendation rate was 1.60%. Recall rates between 7% and 9% appeared to maximize cancer detection while minimizing unnecessary biopsies. CONCLUSION. The results of this investigation are in contrast to those of a recent study suggesting appropriateness of higher recall rates. The sweet spot for optimal cancer detection appears to be in the recall rate range of 7-9% for both 2D digital mammography and 3D tomosynthesis. Too many women are being called back for diagnostic imaging, and new benchmarks could be set to reduce this burden

Patterns and Disparities of Care in Glioblastoma

Background: Glioblastoma is an aggressive disease with a defined standard of care offering crucial survival benefits. Disparities in care may influence treatment decisions. This study seeks to evaluate potential patterns in care delivery using the National Cancer Database (NCDB). Methods: We evaluated the NCDB from 1998 to 2011 for patients diagnosed with glioblastoma older than 20 years of age in order to describe current hospital-based demographics, rates of treatment modality by age, race, gender, likelihood of receiving treatment, and survival probabilities. Results: From 1998 to 2011, 100672 patients were diagnosed with glioblastoma in the United States. Of these, 54% were younger than 65 years of age, while 20% were 75 years of age or older. The most common type of treatment was surgery (73%), followed by radiation (69%) and chemotherapy (50%). Eleven percent of patients did not receive any form of therapy. Patients receiving no form of treatment were more likely to be older, female, black, or Hispanic. Tumors that did not involve brainstem, ventricles, or the cerebellum were associated with more aggressive treatment and better overall survival. The median survival was 7.5 months. The use of concomitant surgical resection, chemotherapy, and radiation demonstrated greater survival benefit. Conclusions: Median survival for glioblastoma is significantly less than reported in clinical trials. Sociodemographic factors such as age, gender, race, and socioeconomic status affect treatment decisions for glioblastoma. The elderly are greatly undertreated, as many elderly patients receive no treatment or significantly less than standard of care