Evidence map›Paper›PMID 35371436›Full record

ArticleClinical kidney journal2022

Serum potassium variability as a predictor of clinical outcomes in patients with cardiorenal disease or diabetes: a retrospective UK database study.

Glen James, Jennifer Kim, Carl Mellström, Kerrie L Ford, Nia C Jenkins, Carmen Tsang, Marc Evans, Phil McEwan

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Glen JamesBiopharmaceuticals Business Unit, AstraZeneca, Cambridge, UK.
Jennifer KimBiopharmaceuticals Business Unit, AstraZeneca, Gaithersburg, MD, USA.
Carl MellströmBiopharmaceuticals Business Unit, AstraZeneca, Gothenburg, Sweden.
Kerrie L FordHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Nia C JenkinsHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Carmen TsangHealth Economics and Outcomes Research Ltd, Cardiff, UK.
Marc EvansDepartment of Diabetes and Endocrinology, University Hospital Llandough, Cardiff, UK.
Phil McEwanHealth Economics and Outcomes Research Ltd, Cardiff, UK.ORCID https://orcid.org/0000-0003-3540-8252
Health Economics and Outcomes Research (United Kingdom) · GBAstraZeneca (Sweden) · SEAstraZeneca (United Kingdom) · GBAstraZeneca (United States) · USUniversity Hospital Llandough · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyperkalaemia is an electrolyte abnormality associated with adverse clinical outcomes; however, few studies have investigated the relationship with patterns of hyperkalaemia over time. This study explored the impact of time spent in a hyperkalaemic state and variability of serum potassium (sK Methods: Cohorts comprised adult patients diagnosed with CKD stage 3+, resistant hypertension, heart failure or diabetes, and/or renin-angiotensin-aldosterone system inhibitor prescription, between 1 January 2003 and 30 June 2018, from the UK Clinical Practice Research Datalink. Associations between percentage of follow-up spent in a hyperkalaemic state (sK Results: For sK Conclusions: Patterns of hyperkalaemia, including time spent in hyperkalaemia and sK

Indexed as

cardiovascularchronic kidney diseasediabetesheart failurehyperkalaemiahypertensionmortalitypotassiumvariability

Identifiers

PMID35371436
PMCPMC8967671
OpenAlexW4205503912

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.