Evidence map›Paper›PMID 31318156›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2019

Prediction of incident hypertension and arterial stiffness using the non-insulin-based metabolic score for insulin resistance (METS-IR) index.

Omar Yaxmehen Bello-Chavolla, Neftali E Antonio-Villa, Arsenio Vargas-Vázquez, Alexandro J Martagón, Roopa Mehta, Olimpia Arellano-Campos, Donaji V Gómez-Velasco, Paloma Almeda-Valdés, Ivette Cruz-Bautista, Marco A Melgarejo-Hernandez and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 6 institutions in 1 country.

Omar Yaxmehen Bello-ChavollaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.ORCID 0000-0003-3093-937X
Neftali E Antonio-VillaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Arsenio Vargas-VázquezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Alexandro J MartagónUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Roopa MehtaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Olimpia Arellano-CamposUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Donaji V Gómez-VelascoUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Paloma Almeda-ValdésUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Ivette Cruz-BautistaUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Marco A Melgarejo-HernandezDepartamento de Endocrinología y Metabolismo del Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Liliana Muñoz-HernandezUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Luz E GuillénDepartamento de Endocrinología y Metabolismo del Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
José de Jesús Garduño-GarcíaHospital General Regional No. 251, Instituto Mexicano del Seguro Social, State of Mexico, Mexico.
Ulices AlvirdeUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Yukiko Ono-YoshikawaCentro Médico Ono Aguascalientes, Aguascalientes, Mexico.
Ricardo Choza-RomeroCentro Médico Ono Aguascalientes, Aguascalientes, Mexico.
Leobardo Sauque-ReynaUnidad Metabólica y Cardiovascular, Cuernavaca, Morelos, Mexico.
Ma Eugenia Garay-SevillaInstituto de Investigaciones Médicas, Universidad de Guanajuato, Leon, Guanajuato, Mexico.
Juan M Malacara-HernandezInstituto de Investigaciones Médicas, Universidad de Guanajuato, Leon, Guanajuato, Mexico.
María T Tusié-LunaUnidad de Biología Molecular y Medicina Genómica, Instituto de Investigaciones Biomédicas, Mexico City, Mexico.
Luis M Gutierrez-RobledoInstituto Nacional de Geriatria, Mexico City, Mexico.
Francisco J Gómez-PérezDepartamento de Endocrinología y Metabolismo del Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Rosalba RojasInstituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico.
Carlos A Aguilar-SalinasUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Tlalpan, Mexico.
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversidad de Guanajuato · MXUniversidad Tecnológica de Aguascalientes · MXInstituto Nacional de Pediatria · MXInstituto Nacional de Salud Pública · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for metabolic screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score for IR (METS-IR) index for the prediction of incident hypertension and arterial stiffness evaluated using pulse wave velocity (PWV) analysis, compared with other non-insulin-based IR indexes. We evaluated two populations, a cross-sectional evaluation of high-risk individuals (n = 305) with a wide range of metabolic comorbidities and dyslipidemia in whom PWV measurement was performed and a 3-year prospective cohort of normotensive individuals (N = 6850). We observed a positive correlation between METS-IR and PWV in the cross-sectional cohort, which was higher compared with other non-insulin-based fasting IR indexes; furthermore, PWV values >75th percentile were associated with the upper tercile of METS-IR values. In the prospective cohort, we observed an increased risk for incident hypertension for the upper METS-IR tercile (METS-IR ≥ 46.42; HR: 1.81, 95% CI: 1.41-2.34), adjusted for known cardiovascular risk factors, and observed that METS-IR had greater increases in the predictive capacity for hypertension along with SBP and the Framingham Hypertension Risk Prediction Model compared with other non-insulin-based IR indexes. Therefore, METS-IR is a novel non-insulin-based IR index which correlates with arterial stiffness and is a predictor of incident hypertension, complementary to previously validated risk prediction models.

Indexed as

AdultBlood PressureBody Mass IndexCardiovascular DiseasesCase-Control StudiesComorbidityCross-Sectional StudiesDyslipidemiasFastingFemaleHumansHypertensionIncidenceInsulin ResistanceMaleMetabolic Syndromecardiovascular riskincident hypertensioninsulin resistanceMETS-IRpulse wave velocity

Identifiers

PMID31318156
PMCPMC8030285
OpenAlexW2961247776

What OpenQuestion 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 OpenQuestion graph.