Evidence map›Paper›PMID 19048257›Full record

ArticleRheumatology international2009

Hyperuricemia and its related factors in an urban population, Izmir, Turkey.

Ismail Sari, Servet Akar, Betul Pakoz, Ali Riza Sisman, Oguz Gurler, Merih Birlik, Fatos Onen, Nurullah Akkoc

Abstract read
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In one paragraph

Article in Rheumatology international, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 pooled it
1.2field-weighted citation impact, top 23% 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

27 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  5. Observational
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  20. Comorbidities in patients with crystal diseases and hyperuricemia.Rheumatic diseases clinics of North America · 2014
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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

8 authors at 1 institution in 1 country.

Ismail SariDivision of Rheumatology, Department of Internal Medicine, Dokuz Eylul University School of Medicine, Dokuz Eylul Universitesi Tip Fakultesi, Romatoloji Bilim Dali, Balcova, 35340, Izmir, Turkey. ismailsari35@gmail.com
Servet Akar
Betul Pakoz
Ali Riza Sisman
Oguz Gurler
Merih Birlik
Fatos Onen
Nurullah Akkoc
Dokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the prevalence of hyperuricemia and its associated factors in an urban area of Izmir, located in western Turkey. Our study group was selected by computerized sampling from the participants of a larger population-based study searching for the prevalence of rheumatoid arthritis in Balcova and Narlidere districts of Izmir. A total of 132 subjects (69 women and 63 men) were included in this study. Serum uric acid, glucose, creatinine and lipid levels were studied. Body composition along with body fat percentage was determined anthropometrically. A total of 16 subjects had hyperuricemia (4 women and 12 men). The overall prevalence of hyperuricemia was 12.1% and the mean uric acid level was 4.9 +/- 1.3 mg/dl. Males had significantly higher uric acid levels than females (P < 0.05; 5.5 +/- 1.3 vs. 4.3 +/- 1.1 mg/dl, respectively). The prevalence of hypertension, diabetes, obesity and metabolic syndrome was 24.4, 5.3, 28 and 26.5%, respectively. There was no gouty subject. Sum of skinfold thickness (SFT) measurements and creatinine levels were the independent predictors of hyperuricemia (beta = 0.45, 0.47, respectively). Uric acid measurement is important not only for inflammatory rheumatic disorders but also for predicting metabolic syndrome and related coronary artery disease. There is sex difference in uric acid levels in favor of women most probably explained by gonadal hormones. Hyperuricemia is significantly predicted by anthropometric measure of SFT which is a simple clinical screening method along with creatinine levels.

Indexed as

Body CompositionUrban PopulationAdultBlood GlucoseCreatinineDiabetes MellitusFemaleGoutHumansHypertensionHyperuricemiaLipidsMaleMetabolic SyndromeMiddle AgedObesityBlood GlucoseCreatinineLipidsUric Acid

Identifiers

PMID19048257
OpenAlexW1976864258

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.