Evidence map›Paper›PMID 33154847›Full record

ArticleCureus2020

Onset of Ketosis-Prone Diabetes in the Setting of COVID-19 Infection.

Raheel S Siddiqui, Milana Zirkiyeva, Merjona Saliaj

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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

3 authors at 1 institution in 1 country.

Raheel S SiddiquiInternal Medicine, Icahn School of Medicine at Mount Sinai (New York City Health and Hospitals/Queens), Jamaica, USA.
Milana ZirkiyevaInternal Medicine, Icahn School of Medicine at Mount Sinai (New York City Health and Hospitals/Queens), Jamaica, USA.
Merjona SaliajInternal Medicine, Icahn School of Medicine at Mount Sinai (New York City Health and Hospitals/Queens), Jamaica, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic ketoacidosis is typically associated with type I diabetes mellitus, but it can be associated with type II diabetes mellitus under the conditions of extreme stress or as a presenting manifestation of ketosis-prone type II diabetes mellitus. A 38-year-old prediabetic male presented to the emergency room with hyperglycemia six weeks after recovery from coronavirus disease 2019 (COVID-19) pneumonia. Laboratory results showed severe hyperglycemia, metabolic acidosis, positive ketones in urine and blood, and elevated fasting C- peptide level. COVID-19 polymerase chain reaction (PCR) was negative, and immunoglobulin G (IgG) antibodies were positive. The workup was completely unremarkable for acute infection. Hemoglobin A1C increased from 6.1% to 10.8% within six weeks. The mechanism by which COVID-19 infection may trigger the onset of full-blown diabetes mellitus remains unknown. Viral infection may cause the direct destruction of pancreatic beta cells or trigger the changes in the body that induce the state of insulin resistance. Antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may cross-react or interfere with the functioning of endogenous insulin. The association between type II diabetes and COVID-19 infections needs additional investigations to ascertain the exact mechanism by which COVID-19 infection triggers the onset of full-blown diabetes mellitus.

Indexed as

covid-19diabetes type 2diabetic ketoacidosis (dka)ketosis prone diabetes

Identifiers

PMID33154847
PMCPMC7606204
OpenAlexW3090583673

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.