Literature DB >> 25248505

Quantitative evaluation of proteinuria for health checkups is more efficient than the dipstick method.

Kei Nagai1, Kunihiro Yamagata.   

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Year:  2014        PMID： 25248505     DOI： 10.1007/s10157-014-1034-6

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN： 1342-1751            Impact factor:   2.801


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  3 in total

Review 1.  Summary of KDIGO 2012 CKD Guideline: behind the scenes, need for guidance, and a framework for moving forward.

Authors:  Adeera Levin; Paul E Stevens
Journal:  Kidney Int       Date:  2013-11-27       Impact factor: 10.612

2.  Proteinuria as a surrogate outcome in CKD: report of a scientific workshop sponsored by the National Kidney Foundation and the US Food and Drug Administration.

Authors:  Andrew S Levey; Daniel Cattran; Aaron Friedman; W Greg Miller; John Sedor; Katherine Tuttle; Bertram Kasiske; Thomas Hostetter
Journal:  Am J Kidney Dis       Date:  2009-07-03       Impact factor: 8.860

3.  Proteinuria and the risk of developing end-stage renal disease.

Authors:  Kunitoshi Iseki; Yoshiharu Ikemiya; Chiho Iseki; Shuichi Takishita
Journal:  Kidney Int       Date:  2003-04       Impact factor: 10.612
  3 in total
  7 in total

1.  Obesity Is a Risk Factor for Renal Dysfunction Following Persistent Proteinuria: An Observational Cohort Study.

Authors:  Kei Nagai; Masami Nakajima; Shinichi Yoshii
Journal:  JMA J       Date:  2022-03-11

2.  Usefulness of the quantitative measurement of urine protein at a community-based health checkup: a cross-sectional study.

Authors:  Masahiro Naruse; Masashi Mukoyama; Jun Morinaga; Masanobu Miyazaki; Kunitoshi Iseki; Kunihiro Yamagata
Journal:  Clin Exp Nephrol       Date:  2019-09-20       Impact factor: 2.801

3.  Trace proteinuria by dipstick screening is associated with metabolic syndrome, hypertension, and diabetes.

Authors:  Rieko Okada; Yoshinari Yasuda; Kazuyo Tsushita; Kenji Wakai; Nobuyuki Hamajima; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2018-06-22       Impact factor: 2.801

4.  Prediction of microalbuminuria from proteinuria in chronic kidney disease due to non-diabetic lifestyle-related diseases: comparison with diabetes.

Authors:  Makoto Ogi; Takuya Seto; Yoshinori Wakabayashi
Journal:  Clin Exp Nephrol       Date:  2021-03-03       Impact factor: 2.801

5.  Relationship between Estimated Glomerular Filtration Rate and Cardiovascular Mortality in a Japanese Cohort with Long-Term Follow-Up.

Authors:  Kei Nagai; Toshimi Sairenchi; Fujiko Irie; Hiroshi Watanabe; Hitoshi Ota; Kunihiro Yamagata
Journal:  PLoS One       Date:  2016-06-06       Impact factor: 3.240

6.  Burden of Undiagnosed Type 2 Diabetes in Diabetic Kidney Disease: A Japanese Retrospective Cohort Study.

Authors:  Hayato Tanabe; Haruka Saito; Noritaka Machii; Akihiro Kudo; Kenichi Tanaka; Koichi Asahi; Junichiro James Kazama; Michio Shimabukuro
Journal:  J Clin Med       Date:  2020-06-28       Impact factor: 4.241

7.  Comparison of dipstick and quantitative tests for proteinuria and hematuria in middle-aged, male Japanese employees: A single-center study.

Authors:  Kanako Ikeda; Masaharu Abe; Izumi Masamoto; Chikako Ishii; Emi Arimura; Miharu Ushikai; Kaoru Oketani; Teruto Hashiguchi; Masahisa Horiuchi
Journal:  Health Sci Rep       Date:  2021-03-26
  7 in total

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