Evidence map›Paper›PMID 27379332›Full record

ArticleInternational scholarly research notices2014

Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population.

Valmore Bermúdez, Joselyn Rojas, María Sofía Martínez, Vanessa Apruzzese, Mervin Chávez-Castillo, Robys Gonzalez, Yaquelín Torres, Juan Salazar, Luis Bello, Roberto Añez and 7 more

Abstract read
In one paragraph

Article in International scholarly research notices, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

17 authors.

Valmore BermúdezEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Joselyn RojasEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela; Institute of Clinical Immunology, University of Los Andes, Mérida 5101, Venezuela.ORCID 0000-0003-4994-075X
María Sofía MartínezEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Vanessa ApruzzeseEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Mervin Chávez-CastilloEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Robys GonzalezEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Yaquelín TorresEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Juan SalazarEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.ORCID 0000-0003-4211-528X
Luis BelloEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Roberto AñezEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Maricarmen ChacínEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Alexandra ToledoEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Mayela CabreraEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela.
Edgardo MengualEndocrine and Metabolic Diseases Research Center, University of Zulia, Maracaibo 4001, Venezuela; Institute of Biological Investigations, University of Zulia, Maracaibo 4001, Venezuela.
Raquel ÁvilaPharmacology Department, Physiological Sciences Unit, University of Zulia, Maracaibo 4001, Venezuela.
Freddy PachanoMorphological Sciences Department, University of Zulia, Maracaibo 4001, Venezuela.ORCID 0000-0003-0427-0465
José López-MirandaLipid and Atherosclerosis Unit, Department of Medicine, IMIBIC/Reina Sofia University Hospital/University of Cordoba and CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Institute of Health Carlos III, Córdova 14004, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Mathematical models such as Homeostasis Model Assessment have gained popularity in the evaluation of insulin resistance (IR). The purpose of this study was to estimate the optimal cut-off point for Homeostasis Model Assessment-2 Insulin Resistance (HOMA2-IR) in an adult population of Maracaibo, Venezuela. Methods. Descriptive, cross-sectional study with randomized, multistaged sampling included 2,026 adult individuals. IR was evaluated through HOMA2-IR calculation in 602 metabolically healthy individuals. For cut-off point estimation, two approaches were applied: HOMA2-IR percentile distribution and construction of ROC curves using sensitivity and specificity for selection. Results. HOMA2-IR arithmetic mean for the general population was 2.21 ± 1.42, with 2.18 ± 1.37 for women and 2.23 ± 1.47 for men (P = 0.466). When calculating HOMA2-IR for the healthy reference population, the resulting p75 was 2.00. Using ROC curves, the selected cut-off point was 1.95, with an area under the curve of 0.801, sensibility of 75.3%, and specificity of 72.8%. Conclusions. We propose an optimal cut-off point of 2.00 for HOMA2-IR, offering high sensitivity and specificity, sufficient for proper assessment of IR in the adult population of our city, Maracaibo. The determination of population-specific cut-off points is needed to evaluate risk for public health problems, such as obesity and metabolic syndrome.

Identifiers

PMID27379332
PMCPMC4897148

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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.