Evidence map›Paper›PMID 24524730›Full record

ReviewCurrent diabetes reviews2014

Assessment of pancreatic β-cell function: review of methods and clinical applications.

Eugenio Cersosimo, Carolina Solis-Herrera, Michael E Trautmann, Jaret Malloy, Curtis L Triplitt

Open access · bronzeAbstract readReview
In one paragraph

Review in Current diabetes reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 11 pooled it
9.2field-weighted citation impact, top 1% 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

156 citing papers in PubMed, 11 syntheses or guidelines pooled it, 285 citations in OpenAlex.

  1. Triglyceride-Glucose Index and Mortality Risk in the General Population: A Systematic Review and Meta-analysis of Prospective Studies.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
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96 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Eugenio Cersosimo
Carolina Solis-Herrera
Michael E Trautmann
Jaret Malloy
Curtis L TriplittTexas Diabetes Institute, University of Texas Health Science Center-San Antonio, 701 S. Zarzamora, MS 10-5, San Antonio, TX 78207, USA. Eugenio.Cersosimo@uhs-sa.com.
Texas Diabetes Institute · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is characterized by a progressive failure of pancreatic β-cell function (BCF) with insulin resistance. Once insulin over-secretion can no longer compensate for the degree of insulin resistance, hyperglycemia becomes clinically significant and deterioration of residual β-cell reserve accelerates. This pathophysiology has important therapeutic implications. Ideally, therapy should address the underlying pathology and should be started early along the spectrum of decreasing glucose tolerance in order to prevent or slow β-cell failure and reverse insulin resistance. The development of an optimal treatment strategy for each patient requires accurate diagnostic tools for evaluating the underlying state of glucose tolerance. This review focuses on the most widely used methods for measuring BCF within the context of insulin resistance and includes examples of their use in prediabetes and T2DM, with an emphasis on the most recent therapeutic options (dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists). Methods of BCF measurement include the homeostasis model assessment (HOMA); oral glucose tolerance tests, intravenous glucose tolerance tests (IVGTT), and meal tolerance tests; and the hyperglycemic clamp procedure. To provide a meaningful evaluation of BCF, it is necessary to interpret all observations within the context of insulin resistance. Therefore, this review also discusses methods utilized to quantitate insulin-dependent glucose metabolism, such as the IVGTT and the euglycemic-hyperinsulinemic clamp procedures. In addition, an example is presented of a mathematical modeling approach that can use data from BCF measurements to develop a better understanding of BCF behavior and the overall status of glucose tolerance.

Indexed as

Insulin ResistanceBlood GlucoseDiabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsFemaleGlucagon-Like Peptide-1 ReceptorGlucose Clamp TechniqueGlucose Tolerance TestGlycated HemoglobinHumansHyperglycemiaInsulin-Secreting CellsMaleModels, TheoreticalReceptors, GlucagonBlood GlucoseDipeptidyl-Peptidase IV InhibitorsGLP1R protein, humanGlucagon-Like Peptide-1 ReceptorGlycated Hemoglobinhemoglobin A1c protein, humanReceptors, Glucagon

Identifiers

PMID24524730
PMCPMC3982570
OpenAlexW2039966938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.