Evidence map›Paper›PMID 37090291›Full record

ArticleCureus2023

Multiple Dyselectrolytemia in a Chronic Alcohol Abuser: A Case Report.

Dakshin Meenashi Sundaram, Vijaya Prakash Madesh, Donthireddy Rambrahma Reddy, Krishna Baliga

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 1 institution in 1 country.

Dakshin Meenashi SundaramInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Post Graduate Institute of Medical Science and Research (PGIMSR), Chennai, IND.
Vijaya Prakash MadeshInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Post Graduate Institute of Medical Science and Research (PGIMSR), Chennai, IND.
Donthireddy Rambrahma ReddyInternal Medicine, Employees' State Insurance Corporation (ESIC) Medical College and Post Graduate Institute of Medical Science and Research (PGIMSR), Chennai, IND.
Krishna BaligaNephrology, Employees' State Insurance Corporation (ESIC) Medical College and Post Graduate Institute of Medical Science and Research (PGIMSR), Chennai, IND.
Employees State Insurance Post Graduate Institute of Medical Sciences and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrolyte disorders in alcohol-dependent patients can be due to a multitude of reasons. We discuss a patient with diabetes mellitus, seizure disorder, and alcoholism who presented with seizure episodes and vomiting following a binge alcohol intake. The evaluation showed life-threatening metabolic derangements that included hyponatremia, hypokalemia, hypomagnesemia, hypocalcemia, hypochloremia, hypophosphatemia with elevated blood glucose, and metabolic alkalosis with a normal anion gap. Subsequently, a detailed urinary analysis revealed a urinary loss of electrolytes. We emphasize that alcohol-induced tubular injury is a possibility when such a clinical presentation is seen in the emergency room. The complex interplay of various electrolytes in homeostasis posed a great challenge in the management of this patient. Our case reiterates this intricate electrolyte correction policy.

Indexed as

alcohol abusedyselectrolytemiahypocalcemiahypomagnesemiahypophosphatemiaother causes of hypokalemiarenal tubular dysfunction

Identifiers

PMID37090291
PMCPMC10114007
OpenAlexW4327957527

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.