A big data-based prediction model for prostate cancer incidence in Japanese men

Abstract To define a normal range for PSA values (ng/mL) by age and create a prediction model for prostate cancer incidence. We conducted a retrospective analysis using 263,073 observations of PSA values in Japanese men aged 18–98 years (2007–2017), including healthy men and those diagnosed with pro...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Mineyuki Kato, Go Horiguchi, Takashi Ueda, Atsuko Fujihara, Fumiya Hongo, Koji Okihara, Yoshinori Marunaka, Satoshi Teramukai, Osamu Ukimura
Format:	Article
Language:	English
Published:	Nature Portfolio 2023-04-01
Online Access:	https://doi.org/10.1038/s41598-023-33725-8