Evidence map›Paper›PMID 36618178›Full record

ArticleJournal of family medicine and primary care2022

New onset diabetes mellitus in post-COVID-19 patients.

B Y Keerthi, G Sushmita, Ehsan A Khan, Vimala Thomas, Vikram Cheryala, Chirali Shah, G Ravi Kumar, V Haritha

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 7% 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, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. New-Onset Diabetes Mellitus in COVID-19: A Scoping Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  12. Article
  13. 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

8 authors at 1 institution in 1 country.

B Y KeerthiDepartment of General Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
G SushmitaDepartment of General Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
Ehsan A KhanDepartment of General Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
Vimala ThomasDepartment of Social and Preventive Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
Vikram CheryalaDepartment of Family Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
Chirali ShahDepartment of Pulmonary Medicine, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
G Ravi KumarDepartment of Biochemistry, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
V HarithaDepartment of Microbiology, Telangana Institute of Medical Sciences and Research, Gachibowli, Telangana, India.
Shadan Hospital and Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes, is known to have a bilateral relationship with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Precise mechanism of diabetes onset in COVID-19 patients remains unclear. Aim: To analyse the incidence of new onset diabetes (NODM) among COVID-19 patients, as well as the effect of body mass index (BMI), family history, and steroid use on the incidence of the disease. Methods: Adult, not known diabetic patients, tested positive with Rapid Antigen Test or RT-PCR admitted to a tertiary care hospital and research institute were included in the present prospective observational study. The patients who developed NODM and NOPD (New Onset Pre-diabetes) during the three months follow-up and the risk factors associated were assessed. Patients with HbA1c >6.4% were diagnosed with NODM. An HbA1c of 5.7% to 6.4% was used to characterize NOPD. Results: Out of 273 previously not known diabetic COVID-19 infected individuals, a total of 100 were studied for three months after consent. Mean age of the patients 48.31 ± 19.07 years with male predominance (67%). Among these, 58% were non-diabetics and 42% were pre-diabetics. 6 (10.3%) of the 58 non-diabetics developed NOPD, and 8 (13.8%) developed NODM. 6 (14.2%) of the 42 pre-diabetics became non-diabetic, and 16.6% (7) developed NODM. Family history of DM ( Conclusion: The incidence of NODM was strongly influenced by positive family history of DM, higher BMI, steroid dosage, and its duration. Hence, patients with COVID-19 need to be under surveillance for blood glucose screening.

Indexed as

BMIfamily history of DMHbA1cNODMNOPDSARS-CoV-2steroids

Identifiers

PMID36618178
PMCPMC9810898
OpenAlexW4313033536

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.