Evidence map›Paper›PMID 32164195›Full record

Trial reportNutrients2020

The Metabolic Syndrome: Emerging Novel Insights Regarding the Relationship between the Homeostasis Model Assessment of Insulin Resistance and other Key Predictive Markers in Young Adults of Western Algeria.

Mohammed Ilyes Belhayara, Zoheir Mellouk, Mohammed Seddik Hamdaoui, Malika Bachaoui, Omar Kheroua, Willy J Malaisse

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Metabolic Syndrome: Lessons from Rodent andBioMed research international · 2022
    Review
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

6 authors at 3 institutions in 2 countries.

Mohammed Ilyes BelhayaraLaboratory of Physiology of Nutrition and Food Safety, Department of Biology, Faculty of Natural and Life Sciences, Université Oran1, 31000 Oran, Algeria.
Zoheir MelloukLaboratory of Physiology of Nutrition and Food Safety, Department of Biology, Faculty of Natural and Life Sciences, Université Oran1, 31000 Oran, Algeria.ORCID 0000-0002-1318-3200
Mohammed Seddik HamdaouiDepartment of internal medicine, University Hospital Institution of Oran, 31000 Oran, Algeria.
Malika BachaouiDepartment of internal medicine, University Hospital Institution of Oran, 31000 Oran, Algeria.
Omar KherouaLaboratory of Physiology of Nutrition and Food Safety, Department of Biology, Faculty of Natural and Life Sciences, Université Oran1, 31000 Oran, Algeria.
Willy J MalaisseDepartment of Biochemistry, Université Libre de Bruxelles, B-1070 Brussels, Belgium.
Université Oran 1 Ahmed Ben Bella · DZUniversity Hospital of Oran · DZUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several biological markers have been identified as risk factors for cardiovascular disease and are associated with increased risk of metabolic syndrome (MetS). This study provides a factual information on promising biomarkers that are associated with MetS and can aid in early detection and management of MetS in young adults of Western Algeria. We studied a total of one hundred subjects aged between thirty and forty years with MetS, in which anthropometric measurements, insulin resistance, C peptide and HbA1c, lipid profile, circulating adipokines and glucagon-like peptide-1 were measured by suitable methods, in comparison to two groups of control. MetS is closely linked to altered glucose homeostasis, the plasma insulin/glucose ratio; i.e., the insulinogenic index helps to estimate the level of insulin secretion and also for assessing β-cell function. The correlation between homeostasis model assessment insulin resistance index (HOMA-IR) and HbA1c, body mass index or plasma triglycerides yielded positive and significant values. Biomarkers with a known and predictable association with MetS can provide a means to detect those at risk and intervene as needed. This could significantly decrease the burden complications impose on patients and the healthcare system.

Indexed as

Models, BiologicalAdipokinesAdultAlgeriaBiomarkersC-PeptideFemaleGlucagon-Like Peptide 1Glycated HemoglobinHumansInsulin SecretionMaleMetabolic SyndromeAdipokinesBiomarkersC-PeptideGlucagon-Like Peptide 1Glycated Hemoglobinhemoglobin A1c protein, humanadipokinesbiomarkersGLP-1HOMA-IRinsulinogenic indexinsulin resistancemetabolic syndromeobesityyoung adults

Identifiers

PMID32164195
PMCPMC7146633
OpenAlexW3011397966

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.