Evidence mapPaperPMID 33635502Full record

ReviewDiabetes therapy : research, treatment and education of diabetes and related disorders2021

Glucagon-Like Peptide 1 Receptor Agonist (GLP1RA) Exposure and Outcomes in Type 2 Diabetes: A Systematic Review of Population-Based Observational Studies.

Thomas M Caparrotta, Jack B Templeton, Thomas A Clay, Sarah H Wild, Rebecca M Reynolds, David J Webb, Helen M Colhoun

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 1 country.

Thomas M CaparrottaInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. tom.caparrotta@igmm.ed.ac.uk.ORCID http://orcid.org/0000-0001-9009-9179
Jack B TempletonInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
Thomas A ClayNHS Lothian, Edinburgh Royal Infirmary, Edinburgh, UK.
Sarah H WildUsher Institute, University of Edinburgh, Edinburgh, UK.
Rebecca M ReynoldsUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, Edinburgh, UK.
David J WebbUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, Edinburgh, UK.
Helen M ColhounInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
British Heart Foundation · GBInstitute of Genetics and Cancer · GBNHS Fife · GBNHS Lothian · GBUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlucagon-like peptide 1 receptor agonists (GLP1RAs) are licensed for the treatment of type 2 diabetes (T2D). They have been shown to be safe (from the cardiovascular (CV) perspective) and effective (in terms of glycaemia, and in some cases, reducing CV events) in extensive randomised controlled trials (RCTs). However, there remain concerns regarding the generalisability of these findings (to those ineligible for RCT participation) and about non-CV safety. For effectiveness, population-based pharmacoepidemiology studies can confirm and extend the findings of RCTs findings to broader populations and explore safety, for which RCTs are not usually powered, in more detail.

methodWe did a pre-planned and registered (PROSPERO registration CRD42020165720) systematic review of population-based studies investigating GLP1RA effectiveness and safety, following Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guidelines.

resultsA total of 22 studies were identified (including 200,148 participants and 396,457 person-years of follow-up) exploring exposure to GLP1RA class, exenatide and liraglutide (the only individual drugs with treatment effect estimates identified) on mortality, cardiovascular disease (CVD), acute pancreatitis (AP), pancreatic cancer (PC), thyroid cancer (TC), acute renal failure (ARF), diabetic retinopathy (DR), breast cancer (BC) and hypoglycaemia. For CV and mortality outcomes, studies confirmed the associated safety of these drugs. For liraglutide, point estimate (PE) range (PER) major adverse cardiovascular events (MACE) (0.53-0.95) and PER heart failure (0.34-1.22) were similar in direction to the beneficial effect observed in RCTs for MACE but varied widely for heart failure. For safety outcomes, exposure was not associated with AP (PER 0.50-1.17), PC (PER 0.40-1.54), BC (PER 0.90-1.51) or hypoglycaemia (PER 0.59-1.06). Only one study was identified exploring each of TC (no evidence of association, hazard ratio (HR) 1.46, 95% confidence interval (CI) 0.98-2.19), renal outcomes (no evidence of association, HR 0.77, 95% CI 0.42-1.41) and DR (no evidence of association, HR 0.67, 95% CI 0.51-0.90).

conclusionIn T2D, GLP1RAs appear safe from the CV perspective and (for liraglutide) may have associated benefit in primary as well as secondary CVD prevention. For non-CV safety, GLP1RA exposure was not associated with an increased risk of AP, PC, BC or hypoglycaemia; the other outcomes had too few studies to draw firm conclusions and should be explored further.

Indexed as

Drug safetyEffectivenessGLP-1 receptor agonistsType 2 diabetes

Identifiers

PMID33635502
PMCPMC7994483
OpenAlexW3130812076

What Socratic 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 Socratic graph.