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Doctors' Understanding of Survival Statistics

2014-08-27 03:19:11 | BioPortfolio

Summary

The probably most commonly used measure for expressing the pay-offs of early detection and treatment are survival rates. Yet, over time and groups this metric comes with several biases and thus, is not reliable for judging such benefits. Epidemiologists recommend using reduction of disease-specific mortality rates instead, which is unbiased. The purpose of the study is to investigate how primary care physicians understand and use different survival measures for determining the benefit of cancer screening tests.

Study Design

Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Single Blind (Subject), Primary Purpose: Health Services Research

Conditions

Screening

Intervention

Different survival measures

Location

Max Planck Institute for Human Development
Berlin
Germany
14195

Status

Completed

Source

Max Planck Institute for Human Development

Results (where available)

View Results

Links

Published on BioPortfolio: 2014-08-27T03:19:11-0400

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Medical and Biotech [MESH] Definitions

The identification of selected parameters in newborn infants by various tests, examinations, or other procedures. Screening may be performed by clinical or laboratory measures. A screening test is designed to sort out healthy neonates (INFANT, NEWBORN) from those not well, but the screening test is not intended as a diagnostic device, rather instead as epidemiologic.

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