The future of early cancer detection

RC Fitzgerald, AC Antoniou, L Fruk, N Rosenfeld - Nature medicine, 2022 - nature.com
A proactive approach to detecting cancer at an early stage can make treatments more
effective, with fewer side effects and improved long-term survival. However, as detection …

Effect of smoking, hypertension and lifestyle factors on kidney cancer—perspectives for prevention and screening programmes

R Campi, G Rebez, T Klatte, E Roussel… - Nature Reviews …, 2023 - nature.com
Renal cell carcinoma (RCC) incidence has doubled over the past few decades. However,
death rates have remained stable as the number of incidental renal mass diagnoses …

[HTML][HTML] Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved

P Dhiman, J Ma, CA Navarro, B Speich… - Journal of clinical …, 2021 - Elsevier
Objective Evaluate the completeness of reporting of prognostic prediction models developed
using machine learning methods in the field of oncology. Study design and setting We …

[HTML][HTML] Systematic metareview of prediction studies demonstrates stable trends in bias and low PROBAST inter-rater agreement

LFS Langenhuijsen, RJ Janse, E Venema… - Journal of Clinical …, 2023 - Elsevier
Objectives To (1) explore trends of risk of bias (ROB) in prediction research over time
following key methodological publications, using the Prediction model Risk Of Bias …

Screening programs for renal cell carcinoma: a systematic review by the EAU young academic urologists renal cancer working group

P Diana, T Klatte, D Amparore, R Bertolo… - World journal of …, 2023 - Springer
Purpose To systematically review studies focused on screening programs for renal cell
carcinoma (RCC) and provide an exhaustive overview on their clinical impact, potential …

Risk prediction models for esophageal cancer: A systematic review and critical appraisal

H Li, D Sun, M Cao, S He, Y Zheng, X Yu… - Cancer …, 2021 - Wiley Online Library
Background and aims Esophageal cancer risk prediction models allow for risk‐stratified
endoscopic screening. We aimed to assess the quality of these models developed in the …

Public preferences for determining eligibility for screening in risk-stratified cancer screening programs: a discrete choice experiment

RA Dennison, LC Taylor, S Morris… - Medical Decision …, 2023 - journals.sagepub.com
Background Risk stratification has been proposed to improve the efficiency of population-
level cancer screening. We aimed to describe and quantify the relative importance of …

External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank

RE Abhari, B Thomson, L Yang, I Millwood, Y Guo… - BMC medicine, 2022 - Springer
Abstract Background In China, colorectal cancer (CRC) incidence and mortality have been
steadily increasing over the last decades. Risk models to predict incident CRC have been …

A view on drug development for cancer prevention

AR Reynolds, M Moschetta, AR Yohannes, F Walcott… - Cancer discovery, 2023 - AACR
Despite some notable successes, there are still relatively few agents approved for cancer
prevention. Here we review progress thus far in the development of medicines for cancer …

Risk prediction models for oral cancer: A systematic review

A Espressivo, ZS Pan, JA Usher-Smith, H Harrison - Cancers, 2024 - mdpi.com
Simple Summary Oral cancer is among the twenty most common cancers worldwide.
Finding and treating this cancer early improves survival rates. Screening the whole …