Evidence map›Paper›PMID 28004164›Full record

ArticleRheumatology international2017

Longitudinal transition trajectory of gouty arthritis and its comorbidities: a population-based study.

Chien-Fang Huang, Ju-Chi Liu, Hui-Chuan Huang, Shao-Yuan Chuang, Chang-I Chen, Kuan-Chia Lin

Abstract read
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In one paragraph

Article in Rheumatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Review
  9. Exploration of Medical Trajectories of Stroke Patients Based on Group-Based Trajectory Modeling.International journal of environmental research and public health · 2019
    Article
  10. 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

6 authors at 5 institutions in 1 country.

Chien-Fang HuangDivision of Quality Improvement, Joint Commission of Taiwan, 5F No. 31, Sec. 2, Sanmin Road, Banqiao District, New Taipei City, Taiwan, ROC.
Ju-Chi LiuDivision of Cardiovascular Medicine, Department of Internal Medicine, Taipei Medical University - Shuang Ho Hospital, No. 291, Zhongzheng Road, Zhonghe District, New Taipei City, Taiwan, ROC.
Hui-Chuan HuangAccelerated Bachelor of Science in Nursing, College of Nursing, Taipei Medical University, No. 250 Wu-Hsing Street, Taipei City, Taiwan, ROC.
Shao-Yuan ChuangDivision of Preventive Medicine and Health Services Research, Institute of Population Health Sciences, National Health Research Institutes, No. 35, Keyan Road, Miaoli County, Taiwan, ROC.
Chang-I ChenTaipei Cancer Center, Taipei Medical University, No. 252, Wu-Hsing Street, Taipei City, Taiwan, ROC.
Kuan-Chia LinInstitute of Hospital and Health Care Administration, Community Research Center, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei City, 11221, Taiwan, ROC. kuanchia@ym.edu.tw.
Hsing Wu University · TWNational Health Research Institutes · TWNational Yang Ming Chiao Tung University · TWTaipei Medical University · TWTaipei Medical University-Shuang Ho Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to investigate the longitudinal transition trajectory of gout and its comorbidities in male patients with gout in different age groups. A total of 3973 male patients who received a new diagnosis of gouty arthritis were identified from the Taiwan Longitudinal Health Insurance Database and divided into two age cohorts (<50 and ≥50 years). Each patient was individually followed from 2000 to 2009 to identify associated comorbidities, namely hypertension, hypercholesterolemia, diabetes mellitus, cardiovascular diseases, and chronic kidney disease. Two outcome measurements of stroke and all-cause cancer were further identified until 2010. The transition trajectory was divided into the following five phenotype groups: persistent hypertension combined with a high prevalence of various gout-related comorbidities, persistent hypercholesterolemia combined with a moderate prevalence of various gout-related comorbidities, persistent low prevalence of various gout-related comorbidities, moderate to high prevalence of various gout-related comorbidities, and low to high prevalence of various gout-related comorbidities. Although the younger and older patients had a similar longitudinal transition trajectory of gout-related comorbidities, the older patients had a higher 10-year likelihood of transition from a low or moderate to a high prevalence of various gout-related comorbidities. In addition, the incidences of stroke and all-cause cancer were higher in the groups with high and moderate to high prevalences of various gout-related comorbidities than in the other groups. The occurrence of gouty arthritis in different life stages can cause cluster effects involving varying degrees of comorbidities over time. The findings of the current study can provide additional knowledge and increase clinical awareness regarding the early assessment and management of gout-related comorbidities in clinical practice.

Indexed as

AgedArthritis, GoutyCardiovascular DiseasesComorbidityDatabases, FactualDiabetes MellitusDisease ProgressionHumansHypercholesterolemiaMaleMiddle AgedPrevalenceTaiwanCancerComorbiditiesGoutLatent transition analysisStroke

Identifiers

PMID28004164
OpenAlexW2561733293

What OpenQuestion holds

Textmetadata
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Registered trials

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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.