Martin F Krapcho

Learn More
BACKGROUND Self-reported screening behaviors from national surveys often overestimate screening use, and the amount of overestimation may vary by demographic characteristics. We examine self-report bias in mammography screening rates overall, by age, and by race/ethnicity. METHODS We use mammography registry data (1999-2000) from the Breast Cancer(More)
BACKGROUND A study was undertaken to evaluate the temporal projection methods that are applied by the American Cancer Society to predict 4-year-ahead projections. METHODS Cancer mortality data recorded in each year from 1969 through 2007 for the United States overall and for each state from the National Center for Health Statistics was obtained. Based on(More)
Objective: This paper presents a methodology for piecing together disparate data sources to obtain a comprehensive model for the use of mammography screening in the US population for the years 1975 – 2000. Methods: Two aspects of mammography usage, the age that a woman receives her first mammography and the interval between subsequent mammograms, are(More)
BACKGROUND Controversy persists about optimal mammography screening strategies. OBJECTIVE To evaluate screening outcomes, taking into account advances in mammography and treatment of breast cancer. DESIGN Collaboration of 6 simulation models using national data on incidence, digital mammography performance, treatment effects, and other-cause mortality.(More)
BACKGROUND Frequencies of prostate-specific antigen (PSA) test administration were not actively monitored on a national level during the first decade of PSA testing. The objectives of this article were to reconstruct patterns of PSA testing between black and white men in the US and to determine the extent of any racial disparity in PSA use. METHODS Data(More)
The smoking history generator (SHG) developed by the National Cancer Institute simulates individual life/smoking histories that serve as inputs for the Cancer Intervention and Surveillance Modeling Network (CISNET) lung cancer models. In this chapter, we review the SHG inputs, describe its outputs, and outline the methodology behind it. As an example, we(More)
Cancer registries collect cancer incidence data that can be used to calculate incidence rates in a population and track changes over time. For incidence rates to be accurate, it is critical that diagnosed cases be reported in a timely manner. Registries typically allow a fixed amount of time (e.g. two years) for diagnosed cases to be reported before(More)
BACKGROUND The National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program collects and publishes population-based cancer incidence data from registries covering approximately 28% ( of the US population. SEER incidence rates are released annually in April from data submitted the prior November.(More)
BACKGROUND Cancer incidence rates and trends for cases diagnosed through 2014 using data reported to the Surveillance, Epidemiology, and End Results (SEER) program in February 2016 and a validation of rates and trends for cases diagnosed through 2013 and submitted in February 2015 using the November 2015 submission are reported. New cancer sites include the(More)
Skin is the largest organ in our body. Cancer is a group of diseases characterized by uncontrolled growth and spread of abnormal cells. If the abnormal cell is not controlled, it can result in death. There are two types of skin cancer: malignant melanoma of the skin, and non-melanoma skin cancer (NMSC). Malignant melanoma is the less common but most serious(More)