Evidence map›Paper›PMID 33623404›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Evaluation of Anthropometric Indices and Lipid Parameters to Predict Metabolic Syndrome Among Adults in Mexico.

Sudip Datta Banik, Elda Pacheco-Pantoja, Roberto Lugo, Lizzette Gómez-de-Regil, Rodolfo Chim Aké, Rosa María Méndez González, Ana Ligia Gutiérrez Solis

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In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

7 authors.

Sudip Datta BanikCenter for Research and Advanced Studies (Cinvestav-IPN), Merida, Yucatan, Mexico.ORCID 0000-0001-5359-1850
Elda Pacheco-PantojaSchool of Medicine, Health Sciences Division, Universidad Anáhuac Mayab, Merida, Yucatan, Mexico.ORCID 0000-0003-4327-2826
Roberto LugoRegional High Speciality Hospital of the Yucatan Peninsula (HRAEPY), Merida, Yucatan, Mexico.ORCID 0000-0001-6353-9060
Lizzette Gómez-de-RegilRegional High Speciality Hospital of the Yucatan Peninsula (HRAEPY), Merida, Yucatan, Mexico.ORCID 0000-0002-2889-2843
Rodolfo Chim AkéRegional High Speciality Hospital of the Yucatan Peninsula (HRAEPY), Merida, Yucatan, Mexico.ORCID 0000-0003-0373-4029
Rosa María Méndez GonzálezCenter for Research and Advanced Studies (Cinvestav-IPN), Merida, Yucatan, Mexico.ORCID 0000-0003-3530-8622
Ana Ligia Gutiérrez SolisRegional High Speciality Hospital of the Yucatan Peninsula (HRAEPY), Merida, Yucatan, Mexico.ORCID 0000-0002-4302-4753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a cluster of conditions that increases the risk of cardiovascular disease (CVD) and is related to genetic background, dietary habits, and lifestyle. Anthropometric indices and lipid parameters have been shown to be simple and useful tools in clinical practice for predicting MetS. The aim of the present study was to evaluate the differential magnitudes of anthropometric characteristics (waist circumference and body mass index [BMI]) and lipid parameters, namely, lipid accumulation product (LAP), cardiometabolic index (CMI), and Castelli Risk Index (CRI-I), to estimate MetS, usingappropriate cut-off values, among adults from a public hospital in Yucatan, Mexico.

methodsA cross-sectional study among 250 adults (77 men, 173 women) was carried out in the Regional High Speciality Hospital of the Yucatan Peninsula (HRAEPY) in Merida, Yucatan. MetS was diagnosed using standard criteria (central obesity, arterial hypertension, hyperglycemia, and dyslipidemia), and derived parameters (LAP, CMI, and CRI-I) were calculated. Binary logistic regression analysis-based receiver operating characteristics (ROC) curves were used to predict MetS.

resultsOf the 250 participants, 48% had MetS. High prevalences of overweight (35.2%) and obesity (48.8%) were found in the sample. The CMI and LAP were found to be the best parameters in the prediction of MetS in men and women. The optimal cut-off values of the parameters were higher in men and decreased with advancing age.

conclusionThe CMI and LAP were shown to be the most effective indicators to diagnose MetS among adults from Yucatan, Mexico.

Indexed as

blood pressureBMIcardiometabolic indexCastelli Risk Indexcut-off valueslipid accumulation productlipid profilewaist circumference

Identifiers

PMID33623404
PMCPMC7896767

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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.