Evidence map›Paper›PMID 39523380›Full record

ArticleScientific reports2024

Association between proteinuria and mineral metabolism disorders in chronic kidney disease: the Japan chronic kidney disease database extension (J-CKD-DB-Ex).

Sho Shimamoto, Takako Nakahara, Shunsuke Yamada, Hajime Nagasu, Seiji Kishi, Naoki Nakashima, Kazuhiko Tsuruya, Hirokazu Okada, Kouichi Tamura, Ichiei Narita and 10 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Sho Shimamoto *Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 8128582, Japan.
Takako Nakahara *Department of Medical Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama, Japan.
Shunsuke YamadaDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 8128582, Japan.
Hajime NagasuDepartment of Nephrology and Hypertension, Kawasaki Medical School, Okayama, Japan.
Seiji KishiDepartment of Nephrology and Hypertension, Kawasaki Medical School, Okayama, Japan.
Naoki NakashimaDepartment of Medical Informatics, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.
Kazuhiko TsuruyaDepartment of Nephrology, Nara Medical University, Nara, Japan.
Hirokazu OkadaDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Kouichi TamuraDepartment of Medical Science and Cardiorenal Medicine, Graduate School of Medicine, Yokohama City University, Kanagawa, Japan.
Ichiei NaritaDivision of Clinical Nephrology and Rheumatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Aichi, Japan.
Yuichiro YanoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Takashi YokooDivision of Kidney and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Takashi WadaDepartment of Nephrology and Rheumatology, Kanazawa University, Kanazawa, Japan.
Jun WadaDepartment of Nephrology, Rheumatology, Endocrinology and Metabolism, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan.
Eiichiro KandaDepartment of Health Data Science, Kawasaki Medical School, Okayama, Japan.
Hiromi KataokaDepartment of Medical Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Naoki KashiharaDepartment of Nephrology and Hypertension, Kawasaki Medical School, Okayama, Japan.
Toshiaki NakanoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 8128582, Japan. nakano.toshiaki.455@m.kyushu-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease-mineral and bone disorder (CKD-MBD) are recognized as a systemic disease affecting the prognosis of patients with CKD. Proper management of CKD-MBD is important to improve the prognosis of patients with CKD. Although proteinuria is recognized as a poor prognostic factor in these patients, few reports have examined its association with CKD-MBD. We examined the association between proteinuria and CKD-MBD using data from the Japan Chronic Kidney Disease Database Extension (J-CKD-DB-Ex). Among the patients registered in the J-CKD-DB-Ex, 30,977 with CKD stages G2-G5 who had serum creatinine, albumin, calcium, and phosphate concentrations measured at least once and urinalysis performed were included. The patients were divided into four groups (negative, 1+, 2+, and 3+) according to the degree of proteinuria. The association between proteinuria and CKD-MBD was examined by a logistic regression analysis. In a model adjusted for age, sex, diabetes, and the estimated glomerular filtration rate (eGFR), the odds ratio of the 3 + group compared with the negative group significantly increased to 2.67 (95% confidence interval, 2.29-3.13) for hyperphosphatemia, 2.68 (1.94-3.71) for hypocalcemia, and 1.56 (1.24-1.98) for hypomagnesemia. Proteinuria is associated with hyperphosphatemia, hypocalcemia, and hypomagnesemia in patients with CKD independently of eGFR.

Indexed as

Databases, FactualProteinuriaRenal Insufficiency, ChronicAdultAgedCalciumFemaleGlomerular Filtration RateHumansHyperphosphatemiaJapanMaleMiddle AgedCalciumCKD-MBDHyperphosphatemiaHypocalcemiaHypomagnesemiaJ-CKD-DB-ExProteinuria

Identifiers

PMID39523380
PMCPMC11551138

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.