ArticleClinical epidemiology2010
Molecular mechanisms of hyperglycemia and cardiovascular-related events in critically ill patients: rationale for the clinical benefits of insulin therapy.
Article in Clinical epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Newly recognized hyperglycemia frequently occurs with acute medical illness, especially among patients with cardiovascular disease (CVD). Hyperglycemia has been linked to increased morbidity and mortality in critically ill patients, especially when it is newly recognized. Increased rates of reinfarction, rehospitalization, major cardiovascular events, and death in CVD patients have also been found. An expanding body of literature describes the benefits of normalizing hyperglycemia with insulin therapy in hospitalized patients. This article reviews several underlying mechanisms thought to be responsible for the association between hyperglycemia and poor outcomes in critically ill patients and those with cardiovascular events, as well as the biologic rationale for the benefits of insulin therapy in these patients.
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Registered trials
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.