Evidence map›Paper›PMID 34508290›Full record

SynthesisJournal of general internal medicine2022

The Longer-Term Benefits and Harms of Glucagon-Like Peptide-1 Receptor Agonists: a Systematic Review and Meta-Analysis.

Jason T Alexander, Erin M Staab, Wen Wan, Melissa Franco, Alexandra Knitter, M Reza Skandari, Shari Bolen, Nisa M Maruthur, Elbert S Huang, Louis H Philipson and 9 more

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Effects of newer-generation anti-diabetics on diabetic retinopathy: a critical review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Review
  15. Article
  16. Review
  17. Article
  18. Observational
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  20. Article
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

19 authors at 6 institutions in 2 countries.

Jason T AlexanderDepartment of Medicine, University of Chicago, Chicago, IL, USA. jalexander3@medicine.bsd.uchicago.edu.ORCID 0000-0003-2159-0604
Erin M StaabDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Wen WanDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Melissa FrancoDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Alexandra KnitterDepartment of Medicine, University of Chicago, Chicago, IL, USA.
M Reza SkandariCentre for Health Economics and Policy Innovation, Imperial College Business School, London, UK.
Shari BolenDepartment of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Nisa M MaruthurDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elbert S HuangDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Louis H PhilipsonDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Aaron N WinnDepartment of Clinical Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Celeste C ThomasDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Meltem ZeytinogluDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Valerie G PressDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Elizabeth L TungDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Kathryn GunterDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Brittany BindonDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Sanjay JumaniDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Neda LaiteerapongDepartment of Medicine, University of Chicago, Chicago, IL, USA.
University of Chicago · USCase Western Reserve University · USImperial College London · GBJohns Hopkins University · USMedical College of Wisconsin · USNational Jewish Health · US

Funding

Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI RONALD N COHEN · 2013 to 2026
$20.9M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
Community Violence as a Social Risk Factor for Cardiometabolic Diseases: Neighborhood Dynamics From Structures to SelfK23HL145090 · NHLBI · UNIVERSITY OF CHICAGO · PI TUNG, ELIZABETH LUNJUN · 2019 to 2023
$816k
Research and Mentorship in Medical Decision Making for Chronic Diseases of Older AdultsK24AG069080 · NIA · UNIVERSITY OF CHICAGO · PI HUANG, ELBERT S. · 2020 to 2024
$583k
NHLBI NIH HHS K23 HL145090NIA NIH HHS K24 AG069080NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

backgroundPrevious meta-analyses of the benefits and harms of glucagon-like peptide-1 receptor agonists (GLP1RAs) have been limited to specific outcomes and comparisons and often included short-term results. We aimed to estimate the longer-term effects of GLP1RAs on cardiovascular risk factors, microvascular and macrovascular complications, mortality, and adverse events in patients with type 2 diabetes, compared to placebo and other anti-hyperglycemic medications.

methodsWe searched PubMed, Scopus, and clinicaltrials.gov (inception-July 2019) for randomized controlled trials ≥ 52 weeks' duration that compared a GLP1RA to placebo or other anti-hyperglycemic medication and included at least one outcome of interest. Outcomes included cardiovascular risk factors, microvascular and macrovascular complications, all-cause mortality, and treatment-related adverse events. We performed random effects meta-analyses to give summary estimates using weighted mean differences (MD) and pooled relative risks (RR). Risk of bias was assessed using the Cochrane Collaboration risk of bias in randomized trials tool. Quality of evidence was summarized using the Grading of Recommendations, Assessment, Development, and Evaluation approach. The study was registered a priori with PROSPERO (CRD42018090506).

resultsForty-five trials with a mean duration of 1.7 years comprising 71,517 patients were included. Compared to placebo, GLP1RAs reduced cardiovascular risk factors, microvascular complications (including renal events, RR 0.85, 0.80-0.90), macrovascular complications (including stroke, RR 0.86, 0.78-0.95), and mortality (RR 0.89, 0.84-0.94). Compared to other anti-hyperglycemic medications, GLP1RAs only reduced cardiovascular risk factors. Increased gastrointestinal events causing treatment discontinuation were observed in both comparisons. DISCUSSION: GLP1RAs reduced cardiovascular risk factors and increased gastrointestinal events compared to placebo and other anti-hyperglycemic medications. GLP1RAs also reduced MACE, stroke, renal events, and mortality in comparisons with placebo; however, analyses were inconclusive for comparisons with other anti-hyperglycemic medications. Given the high costs of GLP1RAs, the lack of long-term evidence comparing GLP1RAs to other anti-hyperglycemic medications has significant policy and clinical practice implications.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHumansHypoglycemic AgentsGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic Agentsdiabetesglucagon-like peptide-1 receptor agonistsmeta-analysissystematic review

Identifiers

PMID34508290
PMCPMC8810987
OpenAlexW3196289369

What OpenQuestion 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 OpenQuestion graph.