Evidence mapPaperPMID 37589043Full record

ArticleJournal of diabetes research2023

Predictors of Responsiveness to GLP-1 Receptor Agonists in Insulin-Treated Patients with Type 2 Diabetes.

Colleen Gavigan, Thomas Donner

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact, top 79% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Colleen GaviganJohns Hopkins Diabetes Center, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, 601 N Caroline Street, Baltimore, Maryland, USA 21287.ORCID https://orcid.org/0000-0001-6465-4650
Thomas DonnerJohns Hopkins Diabetes Center, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, 601 N Caroline Street, Baltimore, Maryland, USA 21287.ORCID https://orcid.org/0000-0001-6450-9066
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are potent antihyperglycemic agents with beneficial effects on weight, cardiovascular, and renal outcomes. Physicians lack guidance as to which patients with insulin-requiring type 2 diabetes will respond best to GLP-1 RAs with respect to glycemic control, insulin dose reduction, and weight loss. This study evaluated the efficacy of GLP-1 RAs in patients with type 2 diabetes on insulin and patient factors that may predict a beneficial clinical response. Methods: Adults with type 2 diabetes treated with insulin who had a GLP-1 RA added to their regimen were evaluated retrospectively. Baseline parameters and outcomes at 3, 6, and 12 months were collected. Results: Among the 81 patients included, there was a mean reduction in hemoglobin A1C of 0.94% (SD, 0.26; Conclusions: The addition of a GLP-1 RA reduced HbA1C, weight, and insulin requirements in this cohort of patients with type 2 diabetes on insulin. BMI, baseline insulin dose, and diabetes duration did not predict response. A C-peptide level ≥ 0.8 ng/ml predicted a beneficial response after 3 months of therapy.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 Receptor AgonistsInsulinAdultC-PeptideGlycated HemoglobinHumansRetrospective StudiesC-PeptideGlucagon-Like Peptide-1 Receptor AgonistsGlycated HemoglobinInsulin

Identifiers

PMID37589043
PMCPMC10427225
OpenAlexW4385651078

What Socratic holds

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LicenceCC BY
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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.