Evidence map›Paper›PMID 28233014›Full record

ReviewDer Internist2017

[Diabetology as an interdisciplinary challenge].

D Müller-Wieland, N Marx

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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

2 authors at 1 institution in 1 country.

D Müller-WielandI. Medizinische Klinik, Universitätsklinikum Aachen, Pauwelsstr. 30, 50724, Aachen, Deutschland. dirmueller@ukaachen.de.
N MarxI. Medizinische Klinik, Universitätsklinikum Aachen, Pauwelsstr. 30, 50724, Aachen, Deutschland.
Universitätsklinikum Aachen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus is a growing chronic disease with a complex pathophysiology and multiple therapeutic options. Clinical prognosis is determined by multimorbidity and cardiovascular complications. For example, the prognosis of patients with diabetes hospitalized for heart failure is very poor with up to 50% mortality rate over the 3 years thereafter. Therefore, three levels have to be addressed in our approach to interdisciplinary diabetes care: screening and prevention, efficient patient-centered drug therapy, and a strategy for care including social environment of the patient suffering from complex diseases. Thus, we need diabetes specialists in out- and in-patient settings. Transsectoral interdisciplinary approaches to clinical care, as exemplary shown for the treatment of the diabetes foot syndrome, should be developed for other comorbidities, like renal and heart failure, respectively. The basis in the therapy of the cardiometabolic high-risk patient is prevention and multimodal treatment of cardiovascular risk factors. In this context, it is interesting to note that new cardiovascular outcome trials with a so-called safety design have shown that the GLP-1 receptor agonist liraglutide and the SGLT-2 inhibitor empagliflozin can reduce cardiovascular event rates. In addition, empagliflozin has significantly reduced the rate of hospitalization for heart failure. The latter has been included in the recent guidelines on heart failure by the European Society of Cardiology.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Diabetic FootGlucagon-Like Peptide-1 Receptor AgonistsHumansHypoglycemic AgentsPrognosisRisk FactorsGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsAntidiabeticsCardiovascular riskDiabetes mellitus, type 2, therapyHeart failurePrevention and control, diabetes

Identifiers

PMID28233014
OpenAlexW2589479670

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.