著者

Toko Mitsui Yasuko K. Bando Akihiro Hirakawa Kenji Furusawa Ryota Morimoto Eiji Taguchi Akira Kimura Haruo Kamiya Naomichi Nishikimi Kimihiro Komori Kazuhiro Nishigami Toyoaki Murohara

出版者

The Japanese Circulation Society

雑誌

Circulation Reports (ISSN:24340790)

巻号頁・発行日

pp.CR-23-0071, (Released:2023-10-17)

参考文献数

30

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Background: Whether drug therapy slows the growth of abdominal aortic aneurysms (AAAs) in the Japanese population remains unknown.Methods and Results: In a multicenter prospective open-label study, patients with AAA at the presurgical stage (mean [±SD] AAA diameter 3.27±0.58 cm) were randomly assigned to treatment with candesartan (CAN; n=67) or amlodipine (AML; n=64) considering confounding factors (statin use, smoking, age, sex, renal function), with effects of blood pressure control minimized setting a target control level. The primary endpoint was percentage change in AAA diameter over 24 months. Secondary endpoints were changes in circulating biomarkers (high-sensitivity C-reactive protein [hs-CRP], malondialdehyde–low-density lipoprotein, tissue-specific inhibitor of metalloproteinase-1, matrix metalloproteinase [MMP] 2, MMP9, transforming growth factor-β1, plasma renin activity [PRA], angiotensin II, aldosterone). At 24 months, percentage changes in AAA diameter were comparable between the CAN and AML groups (8.4% [95% CI 6.23–10.59%] and 6.5% [95% CI 3.65–9.43%], respectively; P=0.23]. In subanalyses, AML attenuated AAA growth in patients with comorbid chronic kidney disease (CKD; P=0.04) or systolic blood pressure (SBP) <130 mmHg (P=0.003). AML exhibited a definite trend for slowing AAA growth exclusively in never-smokers (P=0.06). Among circulating surrogate candidates for AAA growth, PRA (P=0.02) and hs-CRP (P=0.001) were lower in the AML group.Conclusions: AML may prevent AAA growth in patients with CKD or lower SBP, associated with a decline in PRA and circulating hs-CRP.

著者

Ryota MORIMOTO

出版者

Japan Association for Philosophy of Science

雑誌

Annals of the Japan Association for Philosophy of Science (ISSN:04530691)

巻号頁・発行日

vol.30, pp.43-65, 2021 (Released:2021-12-14)

参考文献数

40

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Good statistical practice is an integral part of modern science. Null hypothesis significance testing (NHST) is the most widely used statistical method. Nevertheless, misuse and misinterpretation of NHST are widespread, and severe criticisms have been levelled against NHST. In this study, I revisit the primary documents of Fisher, Neyman, and E. Pearson relating to statistical testing. I compare Fisher’s significance testing with Neyman-Pearson hypothesis testing and clarify their thoughts on statistical testing. I hope this study will guide researchers in stopping and thinking about p-value statistics before abandoning it.