/

Workspace

Research & Review

Writing & Publishing

Data & Analysis

Utilities

Account

User Settings

D

Daijo Inaguma

Fujita Health University(JP)

Claim or correct this author profile

Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.

163

Papers

2.0K

Citations

22

h-index

43

i10-index

Daijo Inaguma is an academic researcher from Fujita Health University. The author has contributed to research in topics: Dialysis and Renal Disease Management & Chronic Kidney Disease and Diabetes & Parathyroid Disorders and Treatments. The author has an h-index of 22, co-authored 139 publications.

ORCID: 0000-0002-3977-5933

Research Topics

Dialysis and Renal Disease Management Chronic Kidney Disease and Diabetes Parathyroid Disorders and Treatments Renal Diseases and Glomerulopathies Vitamin D Research Studies

Papers by this author

works

Risk factors for CKD progression in Japanese patients: findings from the Chronic Kidney Disease Japan Cohort (CKD-JAC) study

2016 · Clinical and Experimental Nephrology · 83 citations

https://doi.org/10.1007/s10157-016-1309-1

Daijo Inaguma Enyu Imai Ayano Takeuchi Yasuo Ohashi

Long-term changes in renal function after treatment initiation and the importance of early diagnosis in maintaining renal function among IgG4-related tubulointerstitial nephritis patients in Japan

2020 · Arthritis Research & Therapy · 13 citations

https://doi.org/10.1186/s13075-020-02320-x

Haruna Arai Soshiro Ogata Takaya Ozeki Kazuo Takahashi

Factors associated with aortic valve stenosis in Japanese patients with end-stage kidney disease

2022 · BMC Nephrology · 12 citations

https://doi.org/10.1186/s12882-022-02758-y

Yuji Sasakawa Naoki Okamoto Maya Fujii Jyoichiro Kato

Unfavorable effects of history of volume overload and late referral to a nephrologist on mortality in patients initiating dialysis: a multicenter prospective cohort study in Japan

2018 · BMC Nephrology · 10 citations

https://doi.org/10.1186/s12882-018-0859-8

Masaki Okazaki Daijo Inaguma Takahiro Imaizumi Akiko Kada

Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan

2022 · BMJ Open · 6 citations

https://doi.org/10.1136/bmjopen-2021-058833

Daijo Inaguma Hiroki Hayashi Ryosuke Yanagiya Akira Koseki

Association between stopping renin-angiotensin system inhibitors immediately before hemodialysis initiation and subsequent cardiovascular events

2024 · Hypertension Research · 3 citations

https://doi.org/10.1038/s41440-024-01616-8

Yoshihiro Nakamura Daijo Inaguma Takahiro Imaizumi Shimon Kurasawa

Research topics

topics

Dialysis and Renal Disease Management

Chronic Kidney Disease and Diabetes

Parathyroid Disorders and Treatments

Renal Diseases and Glomerulopathies

Vitamin D Research Studies

Chat about Author

Papers

Chat

Click to start Chat