Evidence map›Paper›PMID 33779085›Full record

ArticleYonsei medical journal2021

Different Seasonal Variations of Potassium in Hemodialysis Patients with High Longitudinal Potassium Levels: A Multicenter Cohort Study Using DialysisNet.

Yunmi Kim, Seong Han Yun, Hoseok Koo, Subin Hwang, Hyo Jin Kim, Sunhwa Lee, Hyunjeong Baek, Hye Hyeon Kim, Kye Hwa Lee, Ju Han Kim and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Yonsei medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Management of high-flow arteriovenous access.Kidney research and clinical practice · 2025
    Article
  3. Review
  4. Article
  5. 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

12 authors at 6 institutions in 2 countries.

Yunmi Kim *Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea.ORCID https://orcid.org/0000-0001-9281-9926
Seong Han Yun *Department of Nephrology, Changwon Fatima Hospital, Changwon, Korea.ORCID https://orcid.org/0000-0002-6221-3824
Hoseok KooDepartment of Internal Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7856-8083
Subin HwangDepartment of Internal Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6694-0861
Hyo Jin KimDepartment of Internal Medicine, Pusan National University Hospital, Busan, Korea.ORCID https://orcid.org/0000-0001-9289-9073
Sunhwa LeeDepartment of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0002-2883-3499
Hyunjeong BaekDepartment of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-1325-3392
Hye Hyeon KimDepartment of Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1928-4168
Kye Hwa LeeDepartment of Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7593-7020
Ju Han KimDepartment of Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1522-9038
Ji In ParkDepartment of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea. park.jiin@gmail.com.ORCID https://orcid.org/0000-0003-4662-3759
Kyung Don YooDepartment of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea. ykd9062@gmail.com.ORCID https://orcid.org/0000-0001-6545-6517
New Generation University College · ETKangwon National University Hospital · KRInje University Seoul Paik Hospital · KRChangwon National University · KRInje University Busan Paik Hospital · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine seasonal variations in serum potassium levels among hemodialysis patients. MATERIALS AND

methodsThis was a multicenter cohort study of patients whounderwent hemodialysis and were registered in DialysisNet at our four associated general hospitals between January and December 2016. Month-to-month potassium variability was quantified as SD/√{n/(n-1)}, and a non-hierarchical method was used to cluster groups according to potassium trajectories. Seasonal variations in potassium levels were analyzed using a cosinor analysis.

resultsThe analysis was performed on 279 patients with a mean potassium level of 5.08±0.58 mmol/L. After clustering, 52.3% (n=146) of patients were included in the moderate group (K

conclusionDifferent seasonal patterns of serum potassium were identified in the moderate and high potassium groups, with potassium levels being significantly higher in the summer season in the high potassium group and in winter for the moderate potassium group.

Indexed as

PotassiumRenal DialysisCohort StudiesHumansSeasonsPotassiumEnd-stage renal diseasehemodialysispotassiumseasonal variation

Identifiers

PMID33779085
PMCPMC8007431
OpenAlexW3138411983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.