Evidence map›Paper›PMID 38506982›Full record

ArticleClinical and experimental nephrology2024

Association of serum magnesium levels with renal prognosis in patients with chronic kidney disease.

Seiji Kishi, Takaya Nakashima, Tadahiro Goto, Hajime Nagasu, Craig R Brooks, Hirokazu Okada, Kouichi Tamura, Toshiaki Nakano, Ichiei Narita, Shoichi Maruyama and 6 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Magnesium Level and Related Factors in Type 2 Diabetes Mellitus: A Cross-Sectional StudyEndocrine, metabolic & immune disorders drug targets · 2026
    Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
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

16 authors.

Seiji Kishi *Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, 7010192, Japan. seiji.kishi@med.kawasaki-m.ac.jp.ORCID http://orcid.org/0000-0001-6205-1661
Takaya Nakashima *TXP Medical Co. Ltd, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
Tadahiro GotoTXP Medical Co. Ltd, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan. tag695@mail.harvard.edu.
Hajime NagasuDepartment of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, 7010192, Japan.
Craig R BrooksDivision of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA.
Hirokazu OkadaDepartment of Nephrology, Faculty of Medicine, Saitama Medical University, Saitama, Japan.
Kouichi TamuraDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
Toshiaki NakanoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 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 Advanced Epidemiology, NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan.
Takashi YokooDivision of Kidney and Hypertension, Department of Internal Medicine, Jikei University School of Medicine, Tokyo, Japan.
Takashi WadaDepartment of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.
Jun WadaDepartment of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 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, Kurashiki, 7010192, Japan.

Funding

Japan Agency for Medical Research and Development 22ek0210135h0001Kawasaki Medical School R05B111
6 · The paper itself

Abstract

backgroundMagnesium deficiency is associated with various health conditions, but its impact on the progression of chronic kidney disease (CKD) remains unclear. This study aimed to investigate the association between serum magnesium levels and prognosis of renal function in CKD patients.

methodsThis is an analysis of the Japan Chronic Kidney Disease Database Ex　(J-CKD-DB-Ex), which is a multicenter prospective cohort including CKD patients enrolled from January 1, 2014 to December 31, 2020. We included adult outpatients with CKD stage G3 and G4 at the time of initial magnesium measurement. Patients were classified by magnesium levels as low (<1.7 mg/dl), normal (1.7-2.6 mg/dl), or high (>2.6 mg/dl). The primary outcomes were the composite of an eGFR < 15 ml/min/1.73 m

resultsThe analysis included 9868 outpatients during the follow-up period. The low magnesium group was significantly more likely to reach CKD progression. Cox regression, adjusting for covariates and using the normal magnesium group as the reference, showed that the hazard ratio for the low magnesium group was 1.20 (1.08-1.34). High magnesium was not significantly associated with poor renal outcomes compared with normal magnesium.

conclusionBased on large real-world data, this study demonstrated that low magnesium levels are associated with poorer renal outcomes.

Indexed as

Disease ProgressionGlomerular Filtration RateMagnesiumRenal Insufficiency, ChronicAgedFemaleHumansJapanKidneyMagnesium DeficiencyMaleMiddle AgedPrognosisProspective StudiesMagnesiumCKDHypomagnesemiaJ-CKD-DB-ExMagnesiumReal world data

Identifiers

PMID38506982

What OpenQuestion holds

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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.