Evidence map›Paper›PMID 22515434›Full record

ArticleDiabetology & metabolic syndrome2012

Salivary uric acid as a noninvasive biomarker of metabolic syndrome.

Maria Soukup, Izabela Biesiada, Aaron Henderson, Benmichael Idowu, Derek Rodeback, Lance Ridpath, Edward G Bridges, Andrea M Nazar, Kristie Grove Bridges

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 134 citations in OpenAlex.

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  10. Label-Free Metal-Oxide Transistor Biosensors for Metabolite Detection in Human Saliva.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

9 authors at 2 institutions in 1 country.

Maria SoukupDepartment of Biomedical Sciences, West Virginia School of Osteopathic Medicine, 400 N Lee St, Lewisburg, WV, USA. kbridges@osteo.wvsom.edu.
Izabela Biesiada
Aaron Henderson
Benmichael Idowu
Derek Rodeback
Lance Ridpath
Edward G Bridges
Andrea M Nazar
Kristie Grove Bridges
West Virginia School of Osteopathic Medicine · USSan Antonio Uniformed Services Health Education Consortium · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElevated serum uric acid is associated with obesity, hypertension and metabolic syndrome. Because a linear relationship exists between serum and salivary uric acid (SUA) concentration, saliva testing may be a useful noninvasive approach for monitoring cardiometabolic risk. The goal of this pilot study was to determine if SUA is increased in patients with metabolic syndrome and to investigate correlations between SUA and individual cardiometabolic risk factors.

findingsVolunteers between the ages of 18 and 65 without conditions known to affect serum uric acid levels were recruited. Height, weight, blood pressure and waist circumference were measured and a full lipid panel along with fasting blood glucose was obtained. Saliva samples were collected and uric acid levels were determined. 78 volunteers, 35% of whom had metabolic syndrome, completed the study. SUA was significantly elevated in patients with metabolic syndrome (p=.002). The incidence of metabolic syndrome in the 4th quartile for SUA was 67% compared to 25% in quartiles1-3 combined. Significant correlations were seen between SUA and systolic blood pressure (r=.440, p=.000), diastolic blood pressure ( r=.304, p=.007), waist circumference (r=.332, p=.003), BMI ( r=.269, p=.018), fasting blood glucose ( r=.341, p=.002), triglycerides (r=.410, p=.000), HDL ( r=.237, p=.036) and the number of cardiometabolic risk factors present (r=0.257, p=.023).

conclusionsThese results suggest that SUA may be a useful biomarker for noninvasive monitoring of cardiometabolic risk. Larger studies are needed to validate this approach.

Identifiers

PMID22515434
PMCPMC3428646
OpenAlexW2150695940

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LicenceCC BY
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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.