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Investigating the association between glycaemic traits and colorectal cancer in the Japanese population using Mendelian randomisation.
Hanyuda A, Goto A, Katagiri R, Koyanagi YN, Nakatochi M, Sutoh Y, Nakano S, Oze I, Ito H, Yamaji T, Sawada N, Iwagami M, Kadota A, Koyama T, Katsuura-Kamano S, Ikezaki H, Tanaka K, Takezaki T, Imoto I, Suzuki M, Momozawa Y, Takeuchi K, Narita A, Hozawa A, Kinoshita K, Shimizu A, Tanno K, Matsuo K, Tsugane S, Wakai K, Sasaki M, Yamamoto M, Iwasaki M. Hanyuda A, et al. Among authors: goto a. Sci Rep. 2023 Apr 29;13(1):7052. doi: 10.1038/s41598-023-33966-7. Sci Rep. 2023. PMID: 37120602 Free PMC article.
Erratum to 'Inverse Association between Fruit and Vegetable Intake and All-Cause Mortality: Japan Public Health Center-Based Prospective Study' [J Nutr 152 (2022) 2245-2254].
Sahashi Y, Goto A, Takachi R, Ishihara J, Kito K, Kanehara R, Yamaji T, Iwasaki M, Inoue M, Tsugane S, Sawada N. Sahashi Y, et al. Among authors: goto a. J Nutr. 2023 Aug;153(8):2541. doi: 10.1016/j.tjnut.2023.04.007. Epub 2023 Apr 18. J Nutr. 2023. PMID: 37084774 Free article. No abstract available.
Economic burden of cancer attributable to modifiable risk factors in Japan.
Saito E, Tanaka S, Abe SK, Hirayabashi M, Ishihara J, Katanoda K, Lin Y, Nagata C, Sawada N, Takachi R, Goto A, Tanaka J, Ueda K, Hori M, Matsuda T, Inoue M. Saito E, et al. Among authors: goto a. Glob Health Med. 2023 Aug 31;5(4):238-245. doi: 10.35772/ghm.2023.01001. Glob Health Med. 2023. PMID: 37655182 Free PMC article.
Third Report of the Japan Diabetes Society (JDS)/Japanese Cancer Association (JCA) Joint Committee on diabetes and cancer: summary of the results of a questionnaire survey of oncologists and diabetologists-secondary publication.
Goto A, Ohashi K, Noda M, Noto H, Ueki K, Inoue M, Nishimura R, Takahashi S, Ioka T, Oshima M, Fujibayashi K, Tsuji A, Kodaira M, Tamakoshi A, Mimori K, Tanabe Y, Hara E, Matsuo K, Murakami Y, Watada H. Goto A, et al. Diabetol Int. 2024 Jan 8;15(1):5-18. doi: 10.1007/s13340-023-00672-8. eCollection 2024 Jan. Diabetol Int. 2024. PMID: 38264218
Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study.
Iwagami M, Inokuchi R, Kawakami E, Yamada T, Goto A, Kuno T, Hashimoto Y, Michihata N, Goto T, Shinozaki T, Sun Y, Taniguchi Y, Komiyama J, Uda K, Abe T, Tamiya N. Iwagami M, et al. Among authors: goto a, goto t. PLOS Digit Health. 2024 Aug 20;3(8):e0000578. doi: 10.1371/journal.pdig.0000578. eCollection 2024 Aug. PLOS Digit Health. 2024. PMID: 39163277 Free PMC article.
1,733 results