ArticleDiabetologia2014
Evidence-based estimation of insulin resistance.
Article in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Surrogate measures of insulin sensitivity vs the hyperinsulinaemic-euglycaemic clamp: a meta-analysis. Are there not some surrogate indexes lost in this story?Diabetologia · 2015Article
- Surrogate measures of insulin resistance: does one size fit all?Diabetologia · 2015Article
- Contrasting associations of insulin resistance with diabetes, cardiovascular disease and all-cause mortality in the elderly: PROSPER long-term follow-up.Diabetologia · 2014Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Insulin resistance is a complex phenotype. Surrogate markers based on peripheral glucose and insulin (and in some cases NEFA) concentrations can provide, at best, moderate approximations to direct physiological measurements (Pearson r values 0.6-0.7). Where the focus is solely on insulin resistance, the evidence reviewed in the paper by Otten et al in this issue (DOI: 10.1007/s00125-014-3285-x ) suggests that surrogate markers based on fasting samples alone are as valid as those that require multiple samples and an oral glucose load. This provides an evidence base for simplifying the design of some clinical studies.
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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.