Evidence map›Paper›PMID 35498899›Full record

ArticleClinical kidney journal2022

Time-updated anion gap and cardiovascular events in advanced chronic kidney disease: a cohort study.

Yuta Asahina, Yusuke Sakaguchi, Sachio Kajimoto, Koki Hattori, Yohei Doi, Tatsufumi Oka, Jun-Ya Kaimori, Yoshitaka Isaka

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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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 1 institution in 1 country.

Yuta AsahinaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Yusuke SakaguchiDepartment of Inter-Organ Communication Research in Kidney Diseases, Osaka University Graduate School of Medicine, Suita, Japan.
Sachio KajimotoDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Koki HattoriDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Yohei DoiDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Tatsufumi OkaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Jun-Ya KaimoriDepartment of Inter-Organ Communication Research in Kidney Diseases, Osaka University Graduate School of Medicine, Suita, Japan.
Yoshitaka IsakaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Osaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Studies examining associations between metabolic acidosis and cardiovascular events in chronic kidney disease (CKD) have shown conflicting results and have not differentiated between normal anion gap (hyperchloremic) acidosis and high anion gap acidosis. We aimed to examine the impact of normal and high anion gap acidosis, separately, on the risk of cardiovascular events among patients with CKD. Methods: This retrospective cohort study included 1168 patients with an estimated glomerular filtration rate (eGFR) of 10-60 mL/min/1.73 m Results: The mean baseline eGFR of the cohort was 28 mL/min/1.73 m Conclusions: Among patients with advanced CKD, high anion gap was associated with an increased risk of cardiovascular events.

Indexed as

anion gapcardiovascular eventschronic kidney diseasemarginal structural modelmetabolic acidosis

Identifiers

PMID35498899
PMCPMC9050520
OpenAlexW4206282856

What OpenQuestion holds

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LicenceCC BY-NC
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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.