Evidence map›Paper›PMID 26183600›Full record

ArticleJournal of diabetes science and technology2015

Intrinsic Frequency and the Single Wave Biopsy: Implications for Insulin Resistance.

Danny Petrasek, Niema M Pahlevan, Peyman Tavallali, Derek G Rinderknecht, Morteza Gharib

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Danny PetrasekMedical Engineering, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA petrasek@caltech.edu.
Niema M PahlevanMedical Engineering, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA Huntington Memorial Research Institute, Pasadena, CA, USA.
Peyman TavallaliApplied and Computational Mathematics, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA.
Derek G RinderknechtGraduate Aerospace Laboratories, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena CA, USA.
Morteza GharibGraduate Aerospace Laboratories, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is the hallmark of classical type II diabetes. In addition, insulin resistance plays a central role in metabolic syndrome, which astonishingly affects 1 out of 3 adults in North America. The insulin resistance state can precede the manifestation of diabetes and hypertension by years. Insulin resistance is correlated with a low-grade inflammatory condition, thought to be induced by obesity as well as other conditions. Currently, the methods to measure and monitor insulin resistance, such as the homeostatic model assessment and the euglycemic insulin clamp, can be impractical, expensive, and invasive. Abundant evidence exists that relates increased pulse pressure, pulse wave velocity (PWV), and vascular dysfunction with insulin resistance. We introduce a potential method of assessing insulin resistance that relies on a novel signal-processing algorithm, the intrinsic frequency method (IFM). The method requires a single pulse pressure wave, thus the term " wave biopsy."

Indexed as

Arterial PressureInsulin ResistanceVascular StiffnessAlgorithmsAortaComputer SimulationHumansLinear ModelsMetabolic SyndromeModels, CardiovascularPredictive Value of TestsPulse Wave AnalysisVascular Diseasesaortic rigidityinflammationinsulin resistancepulse wave velocitytime frequency analysis

Identifiers

PMID26183600
PMCPMC4667296

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.