Evidence map›Paper›PMID 42702576›Full record

ArticleRenal failure2026

Dynamic potassium variability (K-CV) as an independent predictor of mortality in maintenance hemodialysis.

Yeping Ma, Xiaojing Liu, Xiaoqi Wang, Li Zhongxin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Renal failure, 2026. 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

4 authors.

Yeping MaDepartment of Nephrology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China.
Xiaojing LiuDepartment of Nephrology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China.
Xiaoqi WangDepartment of Nephrology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China.
Li ZhongxinDepartment of Nephrology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum potassium fluctuations are common but understudied in maintenance hemodialysis (MHD) patients. This retrospective cohort study investigated the association between serum potassium variability, measured by the coefficient of variation (K-CV), and all-cause mortality in 201 MHD patients. Patients were divided into low and high K-CV groups according to the median K-CV cutoff and followed for a median of 72 months. Multivariate Cox regression, adjusted for confounders, revealed that patients in the high K-CV group had a significantly increased mortality risk compared to the low K-CV group (adjusted HR = 1.537, 95% CI: 1.026-2.302,

Indexed as

Kidney Failure, ChronicPotassiumRenal DialysisAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersPotassiumcoefficient of variationhemodialysismortalityPotassium variabilityprognostic markerrisk stratification

Identifiers

PMID42702576
PMCPMC13552294

What Socratic holds

Textmetadata
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 Socratic graph.