Evidence map›Paper›PMID 32942253›Full record

ReviewDiabetes & metabolic syndrome

Clinical considerations in patients with diabetes during times of COVID19: An update on lifestyle factors and antihyperglycemic drugs with focus on India.

Ritesh Gupta, Anoop Misra

Open access · greenAbstract readReview
In one paragraph

Review in Diabetes & metabolic syndrome. 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 31% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
  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

2 authors at 2 institutions in 1 country.

Ritesh GuptaFortis CDOC Hospital, Chirag Enclave, New Delhi, India. Electronic address: riteshgupta72@gmail.com.
Anoop MisraFortis CDOC Hospital, Chirag Enclave, New Delhi, India; National Diabetes, Obesity and Cholesterol Foundation, New Delhi, India; Diabetes Foundation (India), New Delhi, India.
Fortis C-DOC Hospital · INNational Diabetes Obesity and Cholesterol Foundation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is recognized as an important comorbidity in patients with COVID-19 and a large amount of literature has become available regarding this. The aim of this article is to review the literature regarding various aspects of association between diabetes and COVID-19 and to highlight clinically relevant points with focus on India.

methodsWe searched Pubmed and Google Scholar databases for articles regarding diabetes and COVID-19 published between March 19, 2020 and August 30, 2020.

resultsDiabetes and poor glycemic control are associated with increased severity and mortality in patients with COVID-19. Several clinical scenarios about hyperglycemia and COVID-19 are identified and each of these needs specific management strategies.

conclusionIt is prudent to maintain good glycemic control in patients with diabetes in order to minimize the complications of COVID-19. There is a need for well conducted studies to asses the role of individual antihyperglycemic therapies in COVID-19 and also the behavior of new onset diabetes diagnosed either after COVID-19 infection or during this time.

Indexed as

Blood GlucoseCOVID-19Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Glycated HemoglobinHumansHypoglycemic AgentsIndiaSARS-CoV-2TelemedicineBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsCOVID-19DiabetesGlycemic controlIndiaNew onset diabetes

Identifiers

PMID32942253
PMCPMC7477599
OpenAlexW3084091930

What OpenQuestion holds

Textmetadata
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.