Evidence mapPaperPMID 24876451Full record

Trial reportJournal of diabetes science and technology2014

A novel hierarchal-based approach to measure insulin sensitivity and secretion in at-risk populations.

Paul D Docherty, J Geoffrey Chase, Lisa Te Morenga, Liam M Fisk

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact, top 82% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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 1 institution in 1 country.

Paul D DochertyUniversity of Canterbury, New Zealand paul.docherty@canterbury.ac.nz.
J Geoffrey ChaseUniversity of Canterbury, New Zealand.
Lisa Te MorengaUniversity of Canterbury, New Zealand.
Liam M FiskUniversity of Canterbury, New Zealand.
University of Canterbury · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of type 2 diabetes is characterized by insulin resistance and insulin secretory dysfunction. Few existing metabolic tests measure both characteristics, and no such tests are inexpensive enough to enable widespread use. A hierarchical approach uses 2 down-sampled tests in the dynamic insulin sensitivity and secretion test (DISST) family to first determine insulin sensitivity (SI) using 4 glucose measurements. Second the insulin secretion is determined for only participants with reduced SI using 3 C-peptide measurements from the original test. The hierarchical approach is assessed via its ability to classify 214 individual test responses of 71 females with an elevated risk of type 2 diabetes into 5 bins with equivalence to the fully sampled DISST. Using an arbitrary SI cut-off, 102 test responses were reassayed for C-peptide and unique insulin secretion characteristics estimated. The hierarchical approach correctly classified 84.5% of the test responses and 94.4% of the responses of individuals with increased fasting glucose. The hierarchical approach is a low-cost methodology for measuring key characteristics of type 2 diabetes. Thus the approach could provide an economical approach to studying the pathogenesis of type 2 diabetes, or in early risk screening. As the higher cost test uses the same clinical protocol as the low-cost test, the cost of the additional information is limited to the assay cost of C-peptide, and no additional procedures or callbacks are required.

Indexed as

AlgorithmsCohort StudiesC-PeptideDiabetes Mellitus, Type 2FemaleHumansInsulinInsulin ResistanceReference ValuesReproducibility of ResultsRisk AssessmentC-PeptideInsulina posteriori identificationhierarchical testinginsulin secretioninsulin sensitivitytype 2 diabetes

Identifiers

PMID24876451
PMCPMC4764222
OpenAlexW2160104316

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.