Evidence map›Paper›PMID 24353501›Full record

ArticlePakistan journal of medical sciences2013

Assessment of adipokines relationships with cardiovascular risk markers in relation to body indices in normoglycemic males.

Syed Shahid Habib, Khlalid A Al Regaeiy, Laila Al Dokhi

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

3 authors.

Syed Shahid HabibSyed Shahid Habib, FCPS, Department of Physiology, College of Medicine, King Saud University, Riyadh-11461, Kingdom of Saudi Arabia.
Khlalid A Al RegaeiyKhlalid A Al Regaeiy, PhD, Department of Physiology, College of Medicine, King Saud University, Riyadh-11461, Kingdom of Saudi Arabia.
Laila Al DokhiLaila Al Dokhi, PhD, Department of Physiology, College of Medicine, King Saud University, Riyadh-11461, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the phenotypic relationship between obesity indices, resistin, adiponectin and cardiovascular risk markers in normoglycemic healthy individuals. METHODOLOGY: This cross-sectional study was conducted in the Department of Physiology College of Medicine, King Saud University, Riyadh. A total of 120 male subjects were selected for the study. All subjects underwent analysis of body composition, glucose, glycosylated hemoglobin (HbA1c), lipids, adiponectin, resistin, lipoprotein(a) and high sensitivity C reactive protein (hsCRP).

resultsBody mass index (BMI) (r=0.326, p < 0.001), body fat mass (BFM) (r=0.377, p < 0.001), body fat percentage (BF%) (r=0.326, p < 0.001), waist hip ratio (WHR) (r=0.402, p < 0.001) and basal Insulin levels (r=0.217, p=0.018) were positively correlated with hsCRP. However, serum adiponectin levels (r=0.189, p=0.0391) were negatively correlated with hsCRP. Adiponectin levels were significantly lower in obese compared to non obese subjects (p=0.0551). Keeping hsCRP as dependant variable we observed that WHR, BFM, BF%, BMI and adiponectin were significant predictors in univariate analysis. In multiple regression analysis WHR and adiponectin were independent predictors of hsCRP.

conclusionObese individuals have significantly higher levels of hsCRP levels and lower adiponectin levels than non obese subjects. Serum adiponectin levels and WHR are independant predictors of hsCRP levels in normoglycemic subjects.

Indexed as

Body compositionBody fat percentageFat massHigh sensitivity C reactive proteinLipoprotein(a)

Identifiers

PMID24353501
PMCPMC3809172

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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.