Evidence map›Paper›PMID 32873600›Full record

ArticleBMJ open diabetes research & care2020

Long-term trends in the prescription of antidiabetic drugs: real-world evidence from the Diabetes Registry Tyrol 2012-2018.

Clemens Engler, Marco Leo, Bernhard Pfeifer, Martin Juchum, Di Chen-Koenig, Karin Poelzl, Hans Schoenherr, David Vill, Juliana Oberdanner, Egon Eisendle and 17 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 3 syntheses or guidelines pooled it, 100 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

27 authors at 8 institutions in 1 country.

Clemens EnglerDepartment of Internal Medicine I, Gastroenterology, Hepatology & Endocrinology, Medical University Innsbruck, Innsbruck, Austria.
Marco LeoDepartment of Clinical Epidemiology, Tirol Kliniken, Innsbruck, Austria.
Bernhard PfeiferDepartment of Clinical Epidemiology, Tirol Kliniken, Innsbruck, Austria.
Martin JuchumRehabilitation Center Muenster, Muenster, Austria.
Di Chen-KoenigDepartment of Internal Medicine and Geriatrics, Hospital Hochzirl, Hochzirl, Austria.
Karin PoelzlDepartment of Internal Medicine, Hospital Hochzirl-Natters, Natters, Austria.
Hans SchoenherrDepartment of Internal Medicine, Hospital Zams, Zams, Austria.
David VillDepartment of Internal Medicine, Hospital Hall, Hall in Tyrol, Austria.
Juliana OberdannerDepartment of Internal Medicine, Hospital Kufstein, Kufstein, Austria.
Egon EisendleDepartment of Internal Medicine, Hospital Lienz, Lienz, Austria.
Klaus MiddeldorfDepartment of Internal Medicine, Hospital Reutte, Reutte, Austria.
Bernhard HeindlDepartment of Internal Medicine, Hospital Sankt Johann in Tyrol, Sankt Johann in Tyrol, Austria.
Hannes GaenzerDepartment of Internal Medicine, Hospital Schwaz, Schwaz, Austria.
Gerald BodePrivate Internal Specialist, Woergl, Austria.
Karl KirchmeyrPrivate Internal Specialist, Schwaz, Austria.
Guenther LadnerPrivate Internal Specialist, Imst, Austria.
Lisa RiegerPrivate Internal Specialist, Innsbruck, Austria.
Ursula KoellenspergerPrivate Internal Specialist, Innsbruck, Austria.
Andrea SchwaigerPrivate Internal Specialist, Kitzbuehel, Austria.
Florian StoecklPrivate Internal Specialist, Woergl, Austria.
Guenther ZangerlPrivate Internal Specialist, Zams, Austria.
Monika LechleitnerDepartment of Internal Medicine and Geriatrics, Hospital Hochzirl, Hochzirl, Austria.
Irmgard DelmarkoDepartment of Clinical Epidemiology, Tirol Kliniken, Innsbruck, Austria.
Wilhelm OberaignerResearch Unit for Diabetes Epidemiology, Department of Public Health, Health Services Research and Health Technology Assessment, University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Clemens RissbacherState Institute for Integrated Health Care Tyrol, Innsbruck, Austria.
Herbert TilgDepartment of Internal Medicine I, Gastroenterology, Hepatology & Endocrinology, Medical University Innsbruck, Innsbruck, Austria.
Christoph EbenbichlerDepartment of Internal Medicine I, Gastroenterology, Hepatology & Endocrinology, Medical University Innsbruck, Innsbruck, Austria christoph.ebenbichler@i-med.ac.at.ORCID 0000-0001-5025-7929
Innsbruck Medical University · ATManagement Center Innsbruck · ATTirol Kliniken · ATAustrian Institute of Technology · ATBundesrechenzentrum (Austria) · ATHanusch Hospital · ATUMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik · ATUniversity of Applied Sciences Kufstein · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrescription patterns of antidiabetic drugs in the period from 2012 to 2018 were investigated based on the Diabetes Registry Tyrol. To validate the findings, we compared the numbers with trends of different national registries conducted in a comparable period of time. RESEARCH DESIGN AND

methodsMedication data, prescription patterns, age groups, antidiabetic therapies and quality parameters (hemoglobin A1c, body mass index, complications) of 10 875 patients with type 2 diabetes from 2012 to 2018 were retrospectively assessed and descriptively analyzed. The changes were assessed using a time series analysis with linear regression and prescription trends were plotted over time.

resultsSodium/glucose cotransporter 2 inhibitors (SGLT-2i) showed a significant increase in prescription from 2012 to 2018 (p<0.001), as well as metformin (p=0.002), gliptins (p=0.013) and glucagon-like peptide-1 agonists (GLP-1a) (p=0.017). Significant reduction in sulfonylurea prescriptions (p<0.001) was observed. Metformin was the most frequently prescribed antidiabetic drug (51.3%), followed by insulin/analogs (34.6%), gliptins (28.2%), SGLT-2i (11.7%), sulfonylurea (9.1%), glitazones (3.7%), GLP-1a (2.8%) and glucosidase inhibitors (0.4%).

conclusionsIn this long-term, real-world study on prescription changes in the Diabetes Registry Tyrol, we observed significant increase in SGLT-2i, metformin, gliptins and GLP-1a prescriptions. In contrast prescriptions for sulfonylureas declined significantly. Changes were consistent over the years 2012-2018. Changes in prescription patterns occurred even before the publication of international and national guidelines. Thus, physicians change their prescription practice not only based on published guidelines, but even earlier on publication of cardiovascular outcome trials.

Indexed as

Diabetes Mellitus, Type 2Hypoglycemic AgentsHumansPrescriptionsRegistriesRetrospective StudiesHypoglycemic Agentsclinical endocrinology and metabolismmedicationregistriestype 2 diabetes

Identifiers

PMID32873600
PMCPMC7467522
OpenAlexW3082389140

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Registered trials

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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.