Evidence map›Paper›PMID 34348067›Full record

ReviewExpert review of anti-infective therapy2022

Anti-inflammatory effects of GLP-1 in patients with COVID-19.

Saharnaz Sazgarnejad, Niloufar Yazdanpanah, Nima Rezaei

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of anti-infective therapy, 2022. 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
1.2field-weighted citation impact, top 17% 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, 21 citations in OpenAlex.

  1. Article
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  12. Peptide-Based Vaccines and Therapeutics for COVID-19.International journal of peptide research and therapeutics · 2022
    Review
  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

3 authors at 3 institutions in 1 country.

Saharnaz SazgarnejadSchool Of Medicine, Tehran University Of Medical Sciences, Tehran, Iran.
Niloufar YazdanpanahSchool Of Medicine, Tehran University Of Medical Sciences, Tehran, Iran.
Nima RezaeiNetwork of Immunity in Infection, Malignancy and Autoimmunity (Niima), Universal Scientific Education and Research Network (Usern), Tehran, Iran.
Tehran University of Medical Sciences · IRUniversal Scientific Education and Research Network · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUnderstanding the pathogenesis and risk factors to control the coronavirus disease 2019 (COVID-19) is necessary. Due to the importance of the inflammatory pathways in the pathogenesis of COVID-19 patients, evaluating the effects of anti-inflammatory medications is important. Glucagon-like peptide 1 receptor agonist (GLP-1 RA) is awell-known glucose-lowering agent with anti-inflammatory effects. AREAS COVERED: Resources were extracted from the PubMed database, using keywords such as glucagon-like peptide-1, GLP-1 RA, SARS-CoV-2, COVID-19, inflammation, in April2021. In this review, the effects of GLP-1RA in reducing inflammation and modifying risk factors of COVID-19 severe complications are discussed. However, GLP-1 is degraded by DPP-4 with aplasma half-life of about 2-5 minutes, which makes it difficult to measure GLP-1 plasma level in clinical settings. EXPERT OPINION: Since no definitive treatment is available for COVID-19 so far, determining promising targets to design and/or repurpose effective medications is necessary.

Indexed as

COVID-19 Drug TreatmentGlucagon-Like Peptide 1Glucagon-Like Peptide-1 Receptor AgonistsAnti-Inflammatory AgentsHumansSARS-CoV-2Anti-Inflammatory AgentsGlucagon-Like Peptide 1Glucagon-Like Peptide-1 Receptor Agonistsanti-inflammatorycovid-19glp-1Glucagon-like peptide 1 receptor agonistspro-inflammatory

Identifiers

PMID34348067
PMCPMC8425436
OpenAlexW3189416067

What Socratic 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 Socratic graph.