Evidence mapPaperPMID 26428521Full record

ArticleDer Internist2015

[Screening and prevention of diabetes].

P E H Schwarz

Abstract readEnglish Abstract
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In one paragraph

Article in Der Internist, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

P E H SchwarzAbteilung für Prävention und Versorgung des Diabetes, Universitätsklinikum Carl Gustav Carus Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland. peter.schwarz@uniklinikum-dresden.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A valid and efficient screening for individual diabetes risk is a highly welcomed tool in primary care and specialist medical practice. It is needed to detect early stages of diabetes risk and prediabetes and to start interventions that have the aim to prevent diabetes and also other chronic diseases from developing. The oral glucose tolerance test is the gold standard, but it is difficult to perform in an evidence-based manner in primary care. Furthermore, measuring fasting and 2-h postprandial glucose values detects only late stages of the pathophysiological development of type 2 diabetes. Interestingly, the 1-h glucose value is highly predictive of future diabetes risk, but is rarely used in primary care. Therefore, risk scores are commonly used to evaluate diabetes risk, but unfortunately, they generally do not mirror the relevance of increased risk due to the person's own lifestyle. Measuring waist circumference is another possibility, because the waist is directly associated with the amount of visceral fat, which again directly correlates with the pathophysiology of diabetes development. A further possibility is the EZSCAN™ technology. The EZSCAN™ is based on reverse iontophoresis, a new technology to detect very early forms of peripheral neuropathies, which are commonly associated with early diabetes risk stages. It is important to perform diabetes screening in a targeted manner, in both medical and paramedical environments, and it is mandatory to add targeted interventions, based on the screening evaluated diabetes risk.

Indexed as

Diabetes MellitusEarly DiagnosisEvidence-Based MedicineFemaleGermanyHumansIncidenceMammographyMass ScreeningReproducibility of ResultsRisk FactorsSensitivity and SpecificityDiabetes riskIontophoresisOral glucose tolerance testQuestionnairesWaist circumference

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.