The Anglesio Prize in Cancer Epidemiology and Cancer Registration
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Epidemiology and Prevention".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 4820
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue is dedicated to the Winners of the year 2023 Edition of Enrico Anglesio Prize https://www.fondoelenamoroni.org/en/the-prize/. This International Prize is awarded to young researchers for their original work in cancer epidemiology, and cancer registration. Evaluation was based on scientific relevance, originality, methodological correctness and how the study message was delivered.
The year 2023 Edition proposes studies tackling novel methods that, with the help of Artificial Intelligence, aim to detect rare but adverse events among cancer survivors. With this approach, clinicians can combine population-based cancer registry data with clinical data, tailoring patient follow-ups. Methodological issues are also prominent in survival studies; lead-time bias constitutes an important effect that should be accounted for in survival estimates. A proposal of correction methods, using current information on detection circumstances, could be an interesting proposal to be discussed.
Tools for detecting pre-clinical conditions that lead to neoplasm transformation are always needed for tailoring prevention and fighting malignant evolution. In particular conditions, such as the Down Syndrome, the elevated risk of subsequent hematological neoplasms requires the monitoring of several parameters that need to be calibrated in order to improve earlier detection.
Finally, it is well known that cancer incidence, but also survival, can be affected by factors that are outside the realm of treatment and health care, but are equally important, such as inequality in socio-economic factors and factors that impact all of society, as demonstrated by COVID-19. Measuring the effect of such factors on survival or quality of life and health care is still an important mission of epidemiological studies.
Dr. Stefano Rosso
Guest Editor
Manuscript Submission Information
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Keywords
- survival
- prognostic factors
- lead-time down syndrome
- socio-economic inequalities
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