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Rationale, design and baseline characteristics of the effect of canagliflozin in patients with type 2 diabetes and microalbuminuria in the Japanese population: The CANPIONE study.
Miyamoto S, Heerspink HJL, de Zeeuw D, Toyoda M, Suzuki D, Hatanaka T, Nakamura T, Kamei S, Murao S, Hida K, Ando S, Akai H, Takahashi Y, Koya D, Kitada M, Sugano H, Nunoue T, Nakamura A, Sasaki M, Nakatou T, Fujimoto K, Kawanami D, Wada T, Miyatake N, Yoshida M, Shikata K; CANPIONE study Investigators. Miyamoto S, et al. Among authors: akai h. Diabetes Obes Metab. 2022 Aug;24(8):1429-1438. doi: 10.1111/dom.14731. Epub 2022 May 18. Diabetes Obes Metab. 2022. PMID: 35491532 Free PMC article. Clinical Trial.
Randomized trial of an intensified, multifactorial intervention in patients with advanced-stage diabetic kidney disease: Diabetic Nephropathy Remission and Regression Team Trial in Japan (DNETT-Japan).
Shikata K, Haneda M, Ninomiya T, Koya D, Suzuki Y, Suzuki D, Ishida H, Akai H, Tomino Y, Uzu T, Nishimura M, Maeda S, Ogawa D, Miyamoto S, Makino H; Diabetic Nephropathy Remission and Regression Team Trial in Japan (DNETT-Japan) collaborative group. Shikata K, et al. Among authors: akai h. J Diabetes Investig. 2021 Feb;12(2):207-216. doi: 10.1111/jdi.13339. Epub 2020 Aug 8. J Diabetes Investig. 2021. PMID: 32597548 Free PMC article. Clinical Trial.
Long-term safety and efficacy of alogliptin, a DPP-4 inhibitor, in patients with type 2 diabetes: a 3-year prospective, controlled, observational study (J-BRAND Registry).
Ueki K, Tanizawa Y, Nakamura J, Yamada Y, Inagaki N, Watada H, Shimomura I, Nishimura R, Miyoshi H, Abiko A, Katagiri H, Hayashi M, Shimada A, Naruse K, Fujimoto S, Fujiwara M, Shikata K, Okada Y, Araki E, Yamazaki T, Kadowaki T; J-BRAND Registry Group. Ueki K, et al. BMJ Open Diabetes Res Care. 2021 Jan;9(1):e001787. doi: 10.1136/bmjdrc-2020-001787. BMJ Open Diabetes Res Care. 2021. PMID: 33441417 Free PMC article.
Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.
Yasaka K, Uehara S, Kato S, Watanabe Y, Tajima T, Akai H, Yoshioka N, Akahane M, Ohtomo K, Abe O, Kiryu S. Yasaka K, et al. Among authors: akai h. J Imaging Inform Med. 2024 Apr 26. doi: 10.1007/s10278-024-01112-y. Online ahead of print. J Imaging Inform Med. 2024. PMID: 38671337
189 results