Evidence map›Paper›PMID 36070937›Full record

ArticleInternal medicine (Tokyo, Japan)2023

Acute Kidney Injury with Severe Metabolic Alkalosis Caused by Habitual Vomiting in an Alcohol Abuser with Pyloric Stenosis.

Kota Kakeshita, Teruhiko Imamura, Tsutomu Koike, Hayato Fujioka, Taigo Kiyosawa, Ayako Shimizu, Hidenori Yamazaki, Koichiro Kinugawa

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2023. 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, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Kota KakeshitaThe Second Department of Internal Medicine, University of Toyama, Japan.
Teruhiko ImamuraThe Second Department of Internal Medicine, University of Toyama, Japan.
Tsutomu KoikeThe Second Department of Internal Medicine, University of Toyama, Japan.
Hayato FujiokaThe Second Department of Internal Medicine, University of Toyama, Japan.
Taigo KiyosawaThe Second Department of Internal Medicine, University of Toyama, Japan.
Ayako ShimizuThe Second Department of Internal Medicine, University of Toyama, Japan.
Hidenori YamazakiThe Second Department of Internal Medicine, University of Toyama, Japan.
Koichiro KinugawaThe Second Department of Internal Medicine, University of Toyama, Japan.
University of Toyama · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 47-year-old man was complaining of consciousness disorder. He had acute kidney injury, hypokalemia, and severe metabolic alkalosis. Initial treatment using intravenous infusion of 0.9% saline and potassium chloride improved his consciousness. It was clarified that he was a severe alcohol abuser who habitually self-vomited. We diagnosed him with volume depletion and pseudo-Bartter's syndrome due to loss of chloride by habitual vomiting. Gastrointestinal endoscopy demonstrated pyloric stenosis, which was ameliorated by Helicobacter pylori eradication therapy. We should consider volume depletion and pseudo-Bartter's syndrome as differential diagnoses when we encounter patients with acute kidney injury and severe metabolic alkalosis.

Indexed as

Acute Kidney InjuryAlkalosisBartter SyndromeHyperaldosteronismHypokalemiaPyloric StenosisEthanolHumansMaleMiddle AgedVomitingEthanolgastric pyloric stenosishypokalemiamyopathypseudo-Bartter's syndromesecondary hyperaldosteronism

Identifiers

PMID36070937
PMCPMC10125824
OpenAlexW4294878082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.