Evidence map›Paper›PMID 37382120›Full record

ArticleJournal of the American Heart Association2023

Clinical Variation in the Treatment Practices for Patients With Type 2 Diabetes: A Cross-Sectional Patient Simulation Study Among Primary Care Physicians and Cardiologists.

Enrico De Belen, Divya Ganesan, David Paculdo, Rosalynn Gill, John W Peabody

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Enrico De BelenQURE Healthcare San Francisco CA USA.ORCID 0000-0002-7702-3492
Divya GanesanQURE Healthcare San Francisco CA USA.
David PaculdoQURE Healthcare San Francisco CA USA.ORCID 0000-0002-2184-4603
Rosalynn GillSomaLogic Operating Co., Inc. Denver CO USA.ORCID 0000-0003-3034-080X
John W PeabodyQURE Healthcare San Francisco CA USA.ORCID 0000-0002-0210-9232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Cardiovascular disease risk stratification is necessary and critically important in patients with type 2 diabetes. Despite its known benefits to guide treatment and prevention, we hypothesized that providers do not routinely incorporate this into their diagnostic and treatment decisions. Methods and Results The QuiCER DM (QURE CVD Evaluation of Risk in Diabetes Mellitus) study enrolled 161 primary care physicians and 80 cardiologists. Between March 2022 and June 2022, we measured the care variation in risk determination among these providers caring for simulated patients with type 2 diabetes. We found a wide variation in the overall assessment of cardiovascular disease in patients with type 2 diabetes. Participants performed half of the necessary care items with quality-of-care scores, ranging between 13% and 84%, averaging 49.4±12.6%. Participants did not assess cardiovascular risk in 18.3% of cases and incorrectly stratified risk in 42.8% of cases. Only 38.9% of participants arrived at the correct cardiovascular risk stratification. Those who correctly identified a cardiovascular risk score were significantly more likely to order nonpharmacologic treatments, advising on their patients' nutrition (38.8% versus 29.9%,

Indexed as

CardiologistsCardiovascular DiseasesDiabetes Mellitus, Type 2Physicians, Primary CareCross-Sectional StudiesHumansPatient SimulationRisk Factorscardiologycardiovascular riskclinical careprimary carequality of caretype 2 diabetes

Identifiers

PMID37382120
PMCPMC10356086

What OpenQuestion holds

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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.