Evidence mapPaperPMID 21270290Full record

SynthesisMayo Clinic proceedings2011

Strategies for optimizing glycemic control and cardiovascular prognosis in patients with type 2 diabetes mellitus.

James H O'Keefe, Mohammad Abuannadi, Carl J Lavie, David S H Bell

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Mayo Clinic proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  8. Review
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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

4 authors at 4 institutions in 2 countries.

James H O'KeefeMid America Heart and Vascular Institute and University of Missouri-Kansas City, Kansas City, MO, USA.
Mohammad Abuannadi
Carl J Lavie
David S H Bell
Midwest Aortic & Vascular Institute · USUniversity of Alabama at Birmingham · USUniversity of Missouri–Kansas City · USUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (DM) is a major cardiovascular (CV) risk factor and, as such, is considered a coronary artery disease risk equivalent. Although glycemic control is associated with decreased CV events epidemiologically, many prospective clinical trials have failed to conclusively demonstrate that aggressive glycemic control improves the CV prognosis of patients with type 2 DM, especially those with long-standing DM. Many therapies for type 2 DM with widely divergent mechanisms of action are available. Some of these drugs, in addition to their glucose-lowering actions, have properties that may reduce or increase CV events. Agents that lower both insulin resistance and postprandial hyperglycemia while at the same time avoiding hypoglycemia may be beneficial for CV health. This article reviews the evidence regarding the use of these agents and appropriate glycemic control targets for improving the adverse CV prognosis associated with type 2 DM. We conducted a systematic review of English articles using MEDLINE and the Cochrane Controlled Trials Register (1970-2010) using the following search terms: cardiovascular disease, randomized trials, hypoglycemia, and insulin resistance.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Glycated HemoglobinHumansHypoglycemiaHypoglycemic AgentsMetabolic SyndromePostprandial PeriodPrognosisRiskGlycated HemoglobinHypoglycemic Agents

Identifiers

PMID21270290
PMCPMC3031437
OpenAlexW2105892231

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.