Evidence map›Paper›PMID 36483108›Full record

ReviewWorld journal of virology2022

Dipeptidyl peptidase 4 inhibitors in COVID-19: Beyond glycemic control.

Niya Narayanan, Dukhabandhu Naik, Jayaprakash Sahoo, Sadishkumar Kamalanathan

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Association of Premorbid GLP-1RA and SGLT-2i Prescription Alone and in Combination with COVID-19 Severity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Niya NarayananDepartment of Endocrinology, Baby Memorial Hospital, Kozhikode 673005, Kerala, India.
Dukhabandhu NaikDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry 605006, India. drnaik2000@gmail.com.
Jayaprakash SahooDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry 605006, India.
Sadishkumar KamalanathanDepartment of Endocrinology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry 605006, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is associated with a high risk of mortality and complications in patients with diabetes mellitus. Achieving good glycemic control is very important in diabetic patients to reduce complications and mortality due to COVID-19. Recent studies have shown the mortality benefit and anti-inflammatory effects of Dipeptidyl-peptidase-4 inhibitors (DPP-4i) in diabetic patients with COVID-19. DPP-4i may have a beneficial role in halting the severity of infection primarily by three routes, namely viral entry inhibition, anti-inflammatory and anti-fibrotic effects and glycemic control. This has raised the pro-mising hypothesis that DPP-4i might be an optimal strategy for treating COVID-19 in patients with diabetes. This review aims to summarise the possible therapeutic non-glycemic effects of DPP-4i in diabetic patients diagnosed with COVID-19 in the light of available evidence.

Indexed as

COVID-19Diabetes mellitusDipeptidyl-peptidase-4Mortality

Identifiers

PMID36483108
PMCPMC9724202
OpenAlexW4309751405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.