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Estimating Sensitivity and Sojourn Time in Screening for Colorectal Cancer A Comparison of Statistical Approaches

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TLDR
Various analytic strategies for fitting exponential models to data from a screening program for colorectal cancer conducted in Calvados, France, between 1991 and 1994 are considered, yielding estimates of mean sojourn time and sensitivity.
Abstract
The effectiveness of cancer screening depends crucially on two elements: the sojourn time (that is, the duration of the preclinical screen-detectable period) and the sensitivity of the screening test. Previous literature on methods of estimating mean sojourn time and sensitivity has largely concentrated on breast cancer screening. Screening for colorectal cancer has been shown to be effective in randomized trials, but there is little literature on the estimation of sojourn time and sensitivity. It would be interesting to demonstrate whether methods commonly used in breast cancer screening could be used in colorectal cancer screening. In this paper, the authors consider various analytic strategies for fitting exponential models to data from a screening program for colorectal cancer conducted in Calvados, France, between 1991 and 1994. The models yielded estimates of mean sojourn time of approximately 2 years for 45- to 54-year-olds, 3 years for 55- to 64-year-olds, and 6 years for 65- to 74-year-olds. Estimates of sensitivity were approximately 75%, 50%, and 40% for persons aged 45-54, 55-64, and 65-74 years, respectively. There is room for improvement in all models in terms of goodness of fit, particularly for the first year after screening, but results from randomized trials indicate that the sensitivity estimates are roughly correct. Am J Epidemiol 1998;148:609-19.

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Cancer Screening in Elderly Patients: A Framework for Individualized Decision Making

TL;DR: A framework to guide individualized cancer screening decisions in older patients may be more useful to the practicing clinician than age guidelines because it anchors decisions through quantitative estimates of life expectancy, risk of cancer death, and screening outcomes based on published data.
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Breast cancer tumor growth estimated through mammography screening data

TL;DR: Screening data with tumor measurements can provide population-based estimates of tumor growth and screen test sensitivity directly linked to tumor size, and there is a large variation in breast cancer tumor growth, with faster growth among younger women.
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Dietary patterns and risk of colorectal tumors: a cohort of French women of the National Education System (E3N)

TL;DR: Dietary patterns that reflect a Western way of life are associated with a higher risk of colorectal tumors.
References
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Journal ArticleDOI

Statistical models for cancer screening

TL;DR: A review of the application of statistical models to planning and evaluating cancer screening programmes and a discussion of the current state of, and likely future trends in, cancer screening models is presented.
Journal ArticleDOI

Estimated Cervical Cancer Disease State Incidence and Transition Rates

TL;DR: With the data from the British Columbia Cervical Cancer Screening Program (1955 through 1971) the disease-state transition-rate parameters for this model were estimated by least squares, and the fitted model was found to be in good agreement with the data.
Journal Article

Mathematical models and natural history in cervical cancer screening.

TL;DR: The modelling analyses of Barron and Richart, Coppleson and Brown, Albert, Knox and Habbema and colleagues are examined in an attempt to gain insight about the transition and duration properties of the preclinical stages of cervical cancer.
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