Evidence map›Paper›PMID 31749862›Full record

ArticleArchives of medical science : AMS2019

Is type 2 diabetes mellitus a coronary heart disease equivalent or not? Do not just enjoy the debate and forget the patient!

Niki Katsiki, Maciej Banach, Dimitri P Mikhailidis

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Identification of novel and known variants inFrontiers in cardiovascular medicine · 2026
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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

3 authors.

Niki KatsikiFirst Department of Internal Medicine, Division of Endocrinology and Metabolism, Diabetes Center, Medical School, AHEPA University Hospital, Thessaloniki, Greece.
Maciej BanachDepartment of Hypertension, Chair of Nephrology and Hypertension, Medical University of Lodz, Poland.
Dimitri P MikhailidisDepartment of Clinical Biochemistry, Royal Free Hospital Campus, University College London Medical School, University College London (UCL), London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last several years there has been a large debate whether patients with type 2 diabetes (T2DM) should be treated as those with high or very high cardiovascular risk, and whether T2DM should be considered as equivalent to coronary heart disease (CHD). It all started in the 2001 in National Cholesterol Education Program - Adult Treatment Panel III recommendations, and the knowledge has changed on this issue at least several times. But the main problem is that due to these inconsistencies and different approaches to the cardiovascular risk of T2DM patients, we have more and more patients with T2DM not effectively treated, and diabetologists mostly focus on glucose (glucocentric approach), often forgetting about the overall cardiovascular risk of those patients. In this review we discuss the above-mentioned topic, try to give some practical suggestions, and raise the issue of whether we should start a discussion on treating all patients with T2DM as those at very high cardiovascular risk, or to at least to try to unify the definition and find such variables/risk factors which are easy to measure to help physicians to treat those patients optimally. We have obviously discussed these issues in the context of new European Society of Cardiology (ESC)/European Association for the Study of Diabetes (EASD) Guidelines 2019.

Indexed as

CHD equivalentdiabetesguidelinespreventionrisk stratification

Identifiers

PMID31749862
PMCPMC6855173

What OpenQuestion holds

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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.