Evidence map›Paper›PMID 22488644›Full record

ReviewNature reviews. Endocrinology2012

Cardiovascular risk in double diabetes mellitus--when two worlds collide.

Stephen J Cleland

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  19. MicroRNA profiling of diabetic atherosclerosis in a rat model.European journal of medical research · 2018
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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

1 author at 1 institution in 1 country.

Stephen J ClelandDepartment of Medicine, Glasgow Royal Infirmary, 84 Castle Street, Glasgow G4 0SF, UK. steve.cleland@ggc.scot.nhs.uk
Glasgow Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, clinical management of patients with type 1 diabetes mellitus (T1DM) has been focused on glycaemic control, which is sometimes achieved at the expense of weight gain on intensive insulin regimes. Although HbA(1c) level is an important contributor to increased macrovascular risk, several prospective studies have concluded that factors related to obesity, metabolic syndrome and insulin resistance are more important than HbA(1c) for the prediction of cardiovascular risk, especially for coronary heart disease events. 'Double diabetes mellitus' describes a combination of T1DM with characteristics associated with type 2 diabetes mellitus, including central adiposity and exacerbation of insulin resistance. In lean patients with T1DM, portal insulinopaenia might actually confer cardioprotective effects via changes in hepatic lipid profiles (mainly increased HDL cholesterol levels) and a reduction in hepatic steatosis. In patients with double diabetes mellitus, this situation is reversed and atherothrombotic pathophysiology is potentially accelerated by the combination of chronic hyperglycaemia and abnormal lipid partitioning. The prevalence of double diabetes mellitus is increasing in parallel with the societal trend of increased adiposity. This Review discusses how to identify patients susceptible to double diabetes mellitus and suggests alterations to their clinical management that might reduce their risk of future premature coronary disease.

Indexed as

AdiposityCardiovascular DiseasesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Disease ManagementDisease SusceptibilityHumansInsulin ResistanceLipidsPrevalenceRisk FactorsLipids

Identifiers

PMID22488644
OpenAlexW2095586249

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.