Evidence map›Paper›PMID 26550229›Full record

ArticleInternational journal of clinical and experimental medicine2015

Investigation of relationship of visceral body fat and inflammatory markers with metabolic syndrome and its components among apparently healthy individuals.

Yasemin Turker, Davut Baltaci, Yasin Turker, Serkan Ozturk, Cemil Isik Sonmez, Mehmet Harun Deler, Yunus Cem Sariguzel, Feyza Sariguzel, Handan Ankarali

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Metabolic syndrome severity score: range and associations with cardiovascular risk factors.Archives of medical sciences. Atherosclerotic diseases · 2016
    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 5 institutions in 1 country.

Yasemin TurkerCommunity Health Center Isparta, Turkey.
Davut BaltaciDepartment of Family Medicine, Medical School, Duzce University Duzce 81620, Turkey.
Yasin TurkerDepartment of Cardiology, Suleyman Demirel University Faculty of Medicine Duzce, Turkey.
Serkan OzturkDepartment of Cardiology, School of Medicine, Abant Izzet Baysal University Turkey.
Cemil Isik SonmezDepartment of Family Medicine, Medical School, Duzce University Duzce 81620, Turkey.
Mehmet Harun DelerCukurca Puplic Hospital Hakkari, Turkey.
Yunus Cem SariguzelDuzce Central Community Health Center Duzce, Turkey.
Feyza SariguzelDepartment of Family Medicine, Medical School, Duzce University Duzce 81620, Turkey.
Handan AnkaraliDepartment of Biostatistics, School of Medicine, Duzce University Turkey.
Düzce Üniversitesi · TRBolu Abant İzzet Baysal University · TRHakkari University · TRIsparta University of Applied Sciences · TRSüleyman Demirel University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome is a cluster of disorders and great risk for cardiovascular diseases. We aimed to investigate association between severity of metabolic syndrome (MetS) and anthropometric measurements, and to evaluate correlation of MetS and its components with metabolic deterioration and inflammatory indexes. The cross-sectional study enrolled 1474 patients with obesity and overweight. The patients were grouped as MetS and Non-MetS, and were sub-grouped as group 1 (three criteria), 2 (four criteria) and 3 (≥ five criteria) according to NCEP ATP III. Mean age was 38.7 ± 11.9 years and BMI was 35.1 ± 6.3 kg/m(2). Lipid profile, anthropometric and blood pressure measurements, liver function tests, bioelectric impedance body fat compositions, insulin resistance and HbA1c, and spot urinary albumin-creatinine ratio were significantly different between groups of MetS and Non-MetS. Age, lipid profile, bioelectric impedance fat analyses, BMI, blood pressure values, glucose, insulin resistance, uric acid and hs-CRP levels were significantly different between groups of MetS component groups. ROC analysis revealed that hs-CRP was found to be more predictive for severity of metabolic syndrome components 3 and 4 (P=0.030); uric acid and visceral fat were more actual to predict severity of metabolic syndrome between 3 and 5 MetS components, (P=0.006) and uric acid was detected as more actual to predict severity of MetS between 4 and 5 components (P=0.023). In conclusion, uric acid, hs-CRP and visceral body fat composition were useful to predict to severity of MetS in primary care.

Indexed as

bioelectric impedance fat analysisHs-CRPMetabolic syndromeprimary careuric acid

Identifiers

PMID26550229
PMCPMC4612914
OpenAlexW2193584980

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.