Evidence map›Paper›PMID 38832483›Full record

ReviewRenal failure2024

Seasonal variation of serum potassium in hemodialysis patients: myth or reality? A narrative review of literature.

Zhe Bai, Gang Lu, Hengchao Yang, Dahao Zhang, Yuanyuan Zhang, Zuoya Sun

Abstract readReview
In one paragraph

Review in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhe BaiDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
Gang LuDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
Hengchao YangDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
Dahao ZhangDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
Yuanyuan ZhangDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.
Zuoya SunDepartment of Family Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, PR China.ORCID 0009-0000-4302-7228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has shown that patients undergoing hemodialysis experience seasonal variations in their serum potassium levels. There was inconsistent seasonal fluctuation in serum potassium levels among the hemodialysis population across different locations. In the form of narrative review for the first time, the article discusses the seasonal changes of serum potassium in this population and its potential reasons, this article demonstrates that it is primarily attributable to seasonal dietary potassium intake. However, existing studies have not quantified seasonal dietary potassium intake, so the results are still speculative. Furthermore, future research ought to further expound upon the clinical implications of seasonal variations in serum potassium levels among dialysis patients, as well as other influencing mechanisms such as the pathophysiological causes of these seasonal changes, particularly those pertaining to dietary, geographical, and regional factors. These findings contribute to a more thorough interpretation of laboratory results in hemodialysis patients and provide important guidance for their individualized dietary management.

Indexed as

PotassiumRenal DialysisSeasonsHumansKidney Failure, ChronicPotassium, DietaryPotassiumPotassium, Dietarydietary potassium intakeHemodialysis patientsseasonal variationsserum potassium

Identifiers

PMID38832483
PMCPMC11151801

What OpenQuestion holds

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Registered trials

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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.