Evidence map›Paper›PMID 36938093›Full record

ArticleKidney international reports2023

Association Between Dietary Potassium Intake Estimated From Multiple 24-Hour Urine Collections and Serum Potassium in Patients With CKD.

Soshiro Ogata, Yuumi Akashi, Satoshi Kato, Yuma Oka, Akari Suda, Shigehito Yoshizaki, Yuko Maeda, Kunihiro Nishimura, Kenji Maeda, Shigeru Nakai

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Machine Learning Approaches to Predict 24-Hour Urine Collection Results Based on Self-Reported Beverage Intake.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
    Article
  3. Potassium and the kidney.Nature reviews. Nephrology · 2026
    Review
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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

10 authors at 1 institution in 1 country.

Soshiro OgataDepartment of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Yuumi AkashiFaculty of Nursing, Fujita Health University School of Health Sciences, Toyoake, Aichi, Japan.
Satoshi KatoHU Group Research Institute GK, Akiruno, Tokyo, Japan.
Yuma OkaHU Group Research Institute GK, Akiruno, Tokyo, Japan.
Akari SudaHU Group Research Institute GK, Akiruno, Tokyo, Japan.
Shigehito YoshizakiDaiko-Sunadabashi Clinic, Nagoya, Aichi, Japan.
Yuko MaedaDaiko-Sunadabashi Clinic, Nagoya, Aichi, Japan.
Kunihiro NishimuraDepartment of Nephrology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Kenji MaedaDaiko-Sunadabashi Clinic, Nagoya, Aichi, Japan.
Shigeru NakaiFaculty of Nursing, Fujita Health University School of Health Sciences, Toyoake, Aichi, Japan.
Fujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Limited and inconclusive evidence for the association of dietary potassium intake with serum potassium in chronic kidney disease (CKD) patients have been shown, though restricting dietary potassium has been recommended for CKD patients to prevent hyperkalemia. Multiple 24-hour urine collections are necessary to adequately assess potassium intake. We investigated associations of 24-hour urinary potassium excretion (UKV) with serum potassium in CKD outpatients based on multiple 24-hour urine collections. Methods: This retrospective cohort study was based on outpatients with CKD stages G3 to G5, median age of 72.0 years; and median follow-up of 3.9 months and 8.9 months, respectively, for analyses using 3-time measurement ( Results: Multivariable-adjusted mean difference in serum potassium (mEq/l) and odds ratio of hyperkalemia per 10 mEq/d increase in UKV were, respectively, 0.12 (95% confidence interval [CI]: 0.09-0.15) and 2.15 (1.70-2.73) in generalized estimating equations (GEEs) with 3-time measurements. The mean difference became more pronounced as CKD stages progressed: 0.08 (0.05-0.12), 0.12 (0.08-0.16), and 0.16 (0.12-0.20) for CKD G3, G4, and G5. Similar results were obtained from analyses using 7-time measurements and hierarchical Bayesian measurement error models treating measurement error of UKV adequately. Conclusion: We suggest significant but weak associations (R

Indexed as

chronic kidney diseasedietary potassium intakehyperkalemianutritionserum potassiumurinary potassium excretion

Identifiers

PMID36938093
PMCPMC10014441
OpenAlexW4311127842

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.