Evidence map›Paper›PMID 33936384›Full record

ArticleOxidative medicine and cellular longevity2021

Factorial Analysis of the Cardiometabolic Risk Influence on Redox Status Components in Adult Population.

Aleksandra Klisic, Nebojsa Kavaric, Sanja Vujcic, Vesna Spasojevic-Kalimanovska, Jelena Kotur-Stevuljevic, Ana Ninic

Abstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

6 authors.

Aleksandra KlisicPrimary Health Care Center, University of Montenegro-Faculty of Medicine, Podgorica, Montenegro.ORCID https://orcid.org/0000-0001-7870-0996
Nebojsa KavaricPrimary Health Care Center, University of Montenegro-Faculty of Medicine, Podgorica, Montenegro.ORCID https://orcid.org/0000-0002-4658-9960
Sanja VujcicDepartment for Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-5557-1850
Vesna Spasojevic-KalimanovskaDepartment for Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-1617-7559
Jelena Kotur-StevuljevicDepartment for Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia.ORCID https://orcid.org/0000-0002-6980-3069
Ana NinicDepartment for Medical Biochemistry, University of Belgrade-Faculty of Pharmacy, Belgrade, Serbia.ORCID https://orcid.org/0000-0003-3838-1606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different byproducts of oxidative stress do not always lead to the same conclusion regarding its relationship with cardiometabolic risk, since controversial results are reported so far. The aim of the current study was to examine prooxidant determinant ((prooxidant-antioxidant balance (PAB)) and the marker of antioxidant defence capacity (total sulphydryl groups (tSHG)), as well as their ratio (PAB/tSHG) in relation to different cardiometabolic risk factors in the cohort of adult population. Additionally, we aimed to examine the joint effect of various cardiometabolic parameters on these markers, since to our knowledge, there are no studies that investigated that issue. A total of 292 participants underwent anthropometric measurements and venipuncture procedure for cardiometabolic risk factors assessment. Waist-to-height ratio (WHtR), body mass index, visceral adiposity index (VAI), and lipid accumulation product (LAP) were calculated. Principal component analysis (PCA) grouped various cardiometabolic risk parameters into different factors. This analysis was used in the subsequent binary logistic regression analysis to estimate the predictive potency of the factors towards the highest PAB and tSHG values. Our results show that triglycerides, VAI, and LAP were positively and high density lipoprotein cholesterol (HDL-c) were negatively correlated with tSHG levels and vice versa with PAB/tSHG index, respectively. On the contrary, there were no independent correlations between each cardiometabolic risk factor and PAB. PCA revealed that obesity-renal function-related factor (i.e., higher WHtR, but lower urea and creatinine) predicts both high PAB (OR = 1.617, 95% CI (1.204-2.171),

Indexed as

AgedCardiovascular DiseasesFemaleHumansMaleMiddle AgedOxidation-Reduction

Identifiers

PMID33936384
PMCPMC8062197

What Socratic 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 Socratic graph.