Evidence map›Paper›PMID 32021353›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Individual and Combined Components of Metabolic Syndrome with Chronic Kidney Disease in Individuals with Hypertension and/or Diabetes Mellitus Accompanied by Primary Health Care.

Luma de O Comini, Laura C de Oliveira, Luiza D Borges, Heloísa H Dias, Clara R S Batistelli, Luciana S da Silva, Tiago R Moreira, Rodrigo G da Silva, Rosângela M M Cotta

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Association of Adverse Childhood Experiences and Metabolic Syndrome: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Observational
  3. Article
  4. Article
  5. Foods (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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

9 authors at 2 institutions in 1 country.

Luma de O CominiDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0002-5143-8614
Laura C de OliveiraDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0002-5110-7786
Luiza D BorgesDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0002-9399-255X
Heloísa H DiasDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Clara R S BatistelliDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Luciana S da SilvaMedicine School, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.ORCID 0000-0001-9059-4399
Tiago R MoreiraDepartment of Nursing and Medicine, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0002-6606-4942
Rodrigo G da SilvaClinical Director of the Hemodialysis Service, São João Batista Hospital, Viçosa, Minas Gerais, Brasil.ORCID 0000-0001-8543-4921
Rosângela M M CottaDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.ORCID 0000-0001-5331-9734
Universidade Federal de Viçosa · BRUniversidade Federal de Uberlândia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the associations between MetS and its components and chronic kidney disease (CKD) in a population with arterial hypertension (AH), or diabetes mellitus (DM) accompanied by the Primary Health Care (PHC). PATIENTS AND

methodsA cross-sectional study with 788 individuals diagnosed with AH and/or DM followed by PHC of Viçosa, Brazil. Anthropometric, biochemical and clinical measures were performed for the diagnosis of MetS and CKD. MetS was identified using the NCEP-ATPIII criteria. CKD was identified by estimating the glomerular filtration rate using the CKD-EPI equation. Logistic regression models were used to estimate the chances of CKD associated with MetS and its components and specific combinations of components.

resultsThe prevalence of MetS reported in the population was 65.4%, that of hidden CKD was 15.4%. The prevalence of CKD among participants with MetS was 75.2%. The most prevalent component of MetS in the population was AH (96.7%). Elevated fasting blood glucose, central obesity, and reduced HDL-c were significantly associated with an increased chance of CKD (OR = 2.80, 95% CI 1.76-4.45, OR = 1.68, 95% CI, 05-2.71, OR = 1.61, CI 95% 1.03-2.50, respectively). For the multivariate adjustment, the participants with MetS were 2 times more likely to have CKD than those without MetS (OR = 2.07; 95% CI, 1.25-3.44). The combination of three components of MetS high blood pressure, abdominal obesity and elevated fasting blood glucose and the combination of four components of MetS high blood pressure, reduced HDL-c, high fasting blood glucose and abdominal obesity were associated with increased odds of CKD (OR = 2.67, CI 95% 1.70-4.20, OR = 2.50, CI 95% 1.55-4.02, respectively).

conclusionMetS, as well as its individual or combined components were independently associated with CKD in the population with AH and/or DM accompanied by PHC.

Indexed as

abdominal obesityestimated glomerular filtration ratefasting blood glucoseHDL-chigh blood pressurehypertriglyceridemia

Identifiers

PMID32021353
PMCPMC6956993
OpenAlexW2999042111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.