Evidence map›Paper›PMID 37187644›Full record

ReviewCureus2023

A Review of Hyperglycemia in COVID-19.

Maryam Zahedi, Saba Kordrostami, Mohammadreza Kalantarhormozi, Marziyeh Bagheri

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Implications of Dysnatremia and Endocrine Disturbances in COVID-19 Patients.International journal of molecular sciences · 2024
    Review
  7. The immunology of sickness metabolism.Cellular & molecular immunology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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 3 countries.

Maryam ZahediDepartment of Internal Medicine, Endocrinology, and Metabolism, Clinical Research Development Unit (CRDU) 5 Azar Hospital, Golestan University of Medical Sciences, Gorgan, IRN.
Saba KordrostamiDepartment of Endocrinology and Diabetes, Clinical Research Development Unit (CRDU) 5 Azar Hospital, Golestan University of Medical Sciences, Gorgan, IRN.
Mohammadreza KalantarhormoziDepartment of Endocrinology, Bushehr University of Medical Sciences, Bushehr, IRN.
Marziyeh BagheriDepartment of Internal Medicine, Bushehr University of Medical Sciences, Bushehr, IRN.
Golestan University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is one of the most common chronic metabolic disorders worldwide, which increases the risk of common and opportunistic infections. Following the coronavirus disease 2019 (COVID-19) pandemic, a higher incidence rate, more severe forms of the disease, and exacerbation of hyperglycemia and its complications have been observed in patients with DM. Moreover, stress-induced hyperglycemia has been observed in many hospitalized nondiabetic patients after contracting COVID-19. Hyperglycemia worsens prognosis in both diabetic and nondiabetic patients. In this study, the mechanism of new-onset or exacerbation of hyperglycemia, the effect of the treatments used for COVID-19 on hyperglycemia, the importance and appropriate method of blood glucose (blood sugar (BS)) control during the disease, and the possible fate of new-onset hyperglycemia after recovery from COVID-19 to some extent is expressed.

Indexed as

covid-19diabetes mellitushyperglycemiaprognosisstress-induced hyperglycemia

Identifiers

PMID37187644
PMCPMC10181889
OpenAlexW4365150569

What Socratic 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 Socratic graph.