Evidence map›Paper›PMID 36741600›Full record

ReviewCureus2023

Exploring the Implications of New-Onset Diabetes in COVID-19: A Narrative Review.

Joseph Pergolizzi, Jo Ann K LeQuang, Frank Breve, Peter M Magnusson, Giustino Varrassi

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. 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
1.9field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

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

5 authors at 4 institutions in 3 countries.

Joseph PergolizziCardiology, Native Cardio, Inc., Naples, USA.
Jo Ann K LeQuangPain Management, NEMA Research, Inc., Naples, USA.
Frank BrevePharmacy, Temple University, Philadelphia, USA.
Peter M MagnussonCardiology, Institution of Medical Sciences, Örebro University, Örebro, SWE.
Giustino VarrassiResearch, Paolo Procacci Foundation, Roma, ITA.
Fondazione Roma · ITNaples Community Hospital Healthcare System · USÖrebro University · SETemple University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-viral new-onset diabetes has been an important feature of the COVID-19 pandemic. It is not always clear if new-onset diabetes is the unmasking of a previously undiagnosed condition, the acceleration of prediabetes, or new-onset diabetes that would not have otherwise occurred. Even asymptomatic cases of COVID-19 have been associated with new-onset diabetes. Diabetes that emerges during acute COVID-19 infection tends to have an atypical presentation, characterized by hyperglycemia and potentially life-threatening diabetic ketoacidosis. It is not always clear if new-onset diabetes is type 1 or type 2 diabetes mellitus. Many cases of COVID-associated diabetes appear to be type 1 diabetes, which is actually an autoimmune disorder. The clinical course varies temporally and with respect to outcomes; in some cases, diabetes resolves completely or improves incrementally after recovery from COVID-19. Disruptions in macrophagy caused by COVID-19 infection along with an exaggerated inflammatory response that can occur in COVID-19 also play a role. Those who survive COVID-19 remain at a 40% elevated risk for diabetes in the first year, even if their case of COVID-19 was not particularly severe. A subsequent post-pandemic wave of new diabetes patients may be expected.

Indexed as

covid-19covid-associated diabetesdiabetesdiabetes mellitustype 3 diabetes

Identifiers

PMID36741600
PMCPMC9894635
OpenAlexW4313532716

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.