Evidence mapPaperPMID 26464759Full record

ReviewWorld journal of diabetes2015

Treatment of prediabetes.

Mustafa Kanat, Ralph A DeFronzo, Muhammad A Abdul-Ghani

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of diabetes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 83 citations in OpenAlex.

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  20. A combined strategy of feature selection and machine learning to identify predictors of prediabetes.Journal of the American Medical Informatics Association : JAMIA · 2020
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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 at 3 institutions in 5 countries.

Mustafa KanatMustafa Kanat, Division of Diabetes, Department of Internal Medicine, Istanbul Medipol University, 34214 Istanbul, Turkey.
Ralph A DeFronzoMustafa Kanat, Division of Diabetes, Department of Internal Medicine, Istanbul Medipol University, 34214 Istanbul, Turkey.
Muhammad A Abdul-GhaniMustafa Kanat, Division of Diabetes, Department of Internal Medicine, Istanbul Medipol University, 34214 Istanbul, Turkey.
Bristol-Myers Squibb (Germany) · DECreative Research Enterprises (United States) · USIstanbul Medipol University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progression of normal glucose tolerance (NGT) to overt diabetes is mediated by a transition state called impaired glucose tolerance (IGT). Beta cell dysfunction and insulin resistance are the main defects in type 2 diabetes mellitus (type 2 DM) and even normoglycemic IGT patients manifest these defects. Beta cell dysfunction and insulin resistance also contribute to the progression of IGT to type 2 DM. Improving insulin sensitivity and/or preserving functions of beta-cells can be a rational way to normalize the GT and to control transition of IGT to type 2 DM. Loosing weight, for example, improves whole body insulin sensitivity and preserves beta-cell function and its inhibitory effect on progression of IGT to type 2 DM had been proven. But interventions aiming weight loss usually not applicable in real life. Pharmacotherapy is another option to gain better insulin sensitivity and to maintain beta-cell function. In this review, two potential treatment options (lifestyle modification and pharmacologic agents) that limits the IGT-type 2 DM conversion in prediabetic subjects are discussed.

Indexed as

Diabetes preventionImpaired fasting glucoseImpared glucose tolerancePrediabetesType 2 diabetes mellitus

Identifiers

PMID26464759
PMCPMC4598604
OpenAlexW2410012248

What Socratic 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 Socratic graph.