Evidence map›Paper›PMID 29636104›Full record

ArticleCardiovascular diabetology2018

Antidiabetic treatment patterns and specialty care utilization among patients with type 2 diabetes and cardiovascular disease.

Kevin M Pantalone, Anita D Misra-Hebert, Todd M Hobbs, Xinge Ji, Sheldon X Kong, Alex Milinovich, Wayne Weng, Janine Bauman, Rahul Ganguly, Bartolome Burguera and 2 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

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  14. Real-World Patterns of Basal Insulin Use with Other Diabetes Medications Among People with Type 2 Diabetes Between 2014 and 2020.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
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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

12 authors.

Kevin M PantaloneDepartment of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA. pantalk@ccf.org.
Anita D Misra-HebertMedicine Institute, Cleveland Clinic, Cleveland, OH, USA.
Todd M HobbsNovo Nordisk Inc., Plainsboro, NJ, USA.
Xinge JiQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Sheldon X KongHealth Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA.
Alex MilinovichQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Wayne WengHealth Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA.
Janine BaumanQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Rahul GangulyHealth Economics and Outcomes Research, Novo Nordisk Inc., Plainsboro, NJ, USA.
Bartolome BurgueraDepartment of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA.
Michael W KattanQuantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Robert S ZimmermanDepartment of Endocrinology, Endocrinology and Metabolism Institute, Cleveland Clinic, 9500 Euclid Avenue, Desk F-20, Cleveland, OH, USA.

Funding

Impact of a Team-based Approach to Primary Care: A Natural Experiment in Primary Care RedesignK08HS024128 · AHRQ · CLEVELAND CLINIC FOUNDATION · PI MISRA-HEBERT, ANITA DIANA · 2016 to 2020
$738k
AHRQ HHS K08 HS024128
6 · The paper itself

Abstract

backgroundTo evaluate real-world patient characteristics, medication use, and health care utilization patterns in patients with type 2 diabetes with established cardiovascular disease (CVD).

methodsCross-sectional analysis of patients with type 2 diabetes seen at Cleveland Clinic from 2005 to 2016, divided into two cohorts: with-CVD and without-CVD. Patient demographics and antidiabetic medications were recorded in December 2016; department encounters included all visits from 1/1/2016 to 12/31/2016. Comorbidity burden was assessed by the diabetes complications severity index (DCSI) score.

resultsOf 95,569 patients with type 2 diabetes, 40,910 (42.8%) were identified as having established CVD. Patients with CVD vs. those without were older (median age 69.1 vs. 58.2 years), predominantly male (53.8% vs. 42.6%), and more likely to have Medicare insurance (69.4% vs. 35.3%). The with-CVD cohort had a higher proportion of patients with a DCSI score ≥ 3 than the without-CVD cohort (65.0% vs. 10.3%). Utilization rates of glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter-2 inhibitors were low in both with-CVD (4.1 and 2.5%) and without-CVD cohorts (5.4 and 4.1%), respectively. The majority of patient visits (75%) were seen by a primary care provider. During the 1-year observation period, 81.9 and 62.0% of patients with type 2 diabetes and CVD were not seen by endocrinology or cardiology, respectively.

conclusionsThese data indicated underutilization of specialists and antidiabetic medications reported to confer CV benefit in patients with type 2 diabetes and CVD. The impact of recently updated guidelines and cardiovascular outcome trial results on management patterns in such patients remains to be seen.

Indexed as

AgedCardiologyCardiovascular DiseasesComorbidityCross-Sectional StudiesDatabases, FactualDiabetes Mellitus, Type 2Electronic Health RecordsEndocrinologyFemaleHealth ResourcesHealth Services MisuseHumansHypoglycemic AgentsMaleMiddle AgedHypoglycemic AgentsAntidiabetic therapiesCardiovascular diseasePopulation healthType 2 diabetes

Identifiers

PMID29636104
PMCPMC5892008

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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.