Evidence map›Paper›PMID 23397143›Full record

ArticleClinical rheumatology2013

Factors associated with gout in South Koreans: analysis using the National Health Insurance Corporation and the National Health Screening Exam databases.

Chan Hee Lee, Na Young Sung, Jisoo Lee, Sang-Cheol Bae

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 31% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Clinical Study Using Healthcare Claims Database.Journal of rheumatic diseases · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Seasonality of gout in Korea: a multicenter study.Journal of Korean medical science · 2015
    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

4 authors at 4 institutions in 2 countries.

Chan Hee LeeDivision of Rheumatology, Department of Internal Medicine, National Health Insurance Corporation Ilsan Hospital, 100 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do 410-719, South Korea. chanheell@gmail.com
Na Young Sung
Jisoo Lee
Sang-Cheol Bae
Ewha Womans University · KRHanyang University Seoul Hospital · KRNational Cancer Center · USNational Health Insurance Service Ilsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to identify the factors associated with gout among South Koreans. A case control study of gout patients newly diagnosed between January 1, 2007, and December 31, 2008, and matching controls was conducted using the nationwide database (National Health Insurance Corporation and National Health Screening Exam (NHSE) database), which included the health-care records of 48.1 million individuals. Of 495,998 newly diagnosed patients, we included 18,123 who were ≥40 years old and had an NHSE before diagnosis of gout. To elucidate the factors associated with gout, multivariate conditional logistic analyses were performed. Gout was associated with drinking ≥1/week (p < 0.001), drinking ≥1 bottle of soju/session (p < 0.001), high body mass index (BMI) (p < 0.001), high blood pressure (p < 0.001), high total cholesterol (p < 0.001), proteinuria (multivariate odds ratio (OR) = 1.75; 95 % confidence interval (CI) = 1.53-2.00), and an elevated uric acid (multivariate OR = 1.54; 95 % CI = 1.22-1.94). Exercise frequency was not significantly associated with gout. Prediabetic blood sugar level (100-125 mg/dL) was associated with gout in the univariate analysis, but not in the multivariate analysis. Diabetic blood sugar level (≥126 mg/dL) was associated with a decreased odds of gout (multivariate OR = 0.79; 95 % CI = 0.73-0.86). Our nationwide South Korean study showed that frequent and excessive alcohol consumption, high BMI, high blood pressure, high total cholesterol, proteinuria, and high uric acid are associated with gout.

Indexed as

AdultAgedAlcohol DrinkingBlood PressureBody Mass IndexCase-Control StudiesDatabases, FactualFemaleGoutHealth SurveysHumansMaleMiddle AgedMultivariate AnalysisNational Health ProgramsOdds Ratio

Identifiers

PMID23397143
OpenAlexW1964902697

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.