Evidence map›Paper›PMID 30634389›Full record

ArticleJournal of clinical medicine2019

Gout as a Risk Factor for Dry Eye Disease: A Population-Based Cohort Study.

Chia-Yi Lee, Hung-Chi Chen, Chi-Chin Sun, Hung-Yu Lin, Ko-Hsiu Lu, Jing-Yang Huang, Chao-Bin Yeh, Shun-Fa Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Nasopharyngeal Carcinoma and Its Effect on Dry Eye Disease: A Nationwide Cohort Study.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
  8. Why Internists Should Care About Dry Eye Disease.Journal of clinical medicine · 2020
    Article
  9. Review
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 4 institutions in 1 country.

Chia-Yi LeeDepartment of Ophthalmology, Show Chwan Memorial Hospital, Changhua 500, Taiwan. ao6u.3msn@hotmail.com.ORCID 0000-0002-5719-0488
Hung-Chi ChenDepartment of Ophthalmology, Chang Gung Memorial Hospital, Linkou 333, Taiwan. mr3756@cgmh.org.tw.ORCID 0000-0002-1117-7878
Chi-Chin SunDepartment of Ophthalmology, Chang Gung Memorial Hospital, Keelung 204, Taiwan. arvin.sun@msa.hinet.net.ORCID 0000-0001-9466-6986
Hung-Yu LinDepartment of Ophthalmology, Show Chwan Memorial Hospital, Changhua 500, Taiwan. anthonyhungyulin@hotmail.com.
Ko-Hsiu LuSchool of Medicine, Chung Shan Medical University, Taichung 402, Taiwan. cshy307@csh.org.tw.
Jing-Yang HuangDepartment of Medical Research, Chung Shan Medical University Hospital, Taichung 402, Taiwan. wchinyang@gmail.com.ORCID 0000-0002-0794-9388
Chao-Bin YehSchool of Medicine, Chung Shan Medical University, Taichung 402, Taiwan. sky5ff@gmail.com.ORCID 0000-0002-3978-5576
Shun-Fa YangInstitute of Medicine, Chung Shan Medical University, Taichung 402, Taiwan. ysf@csmu.edu.tw.ORCID 0000-0002-0365-7927
Chung Shan Medical University Hospital · TWChang Gung University · TWChung Hwa University of Medical Technology · TWYuanpei University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluated the effect of gout on the risk of dry eye disease (DED) by using the National Health Insurance Research Database (NHIRD). Data for 30,192 gout patients (21,081 men and 9111 women) and 30,192 non-gout patients (21,005 men and 9187 women) were analyzed. Approximately 1 million patients were randomly sampled from the NHIRD registry. After applying exclusion criteria, patients diagnosed with gout were enrolled in the study group. Thereafter, each individual in the study group underwent the matching process via the propensity score with another non-gout individual, which constituted the control group. The main outcome was defined as the development of DED in accordance with the corresponding International Classification of Diseases, Ninth Revision. In addition to DED, other risk factors including age, sex, and urbanization, and several co-morbidities were included in the multivariate model. The incidence of DED with the adjusted hazard ratio (aHR) and cumulative probability were evaluated in the gout and non-gout patients. A total of 2913 DED events were observed in the study group, whereas 2631 DED events were observed in the control group. A higher incidence rate ratio was found in the study group after adjustment (aHR: 1.065). Moreover, the cumulative probability indicated a significantly increased risk of DED in the study group (

Indexed as

dry eye diseasegoutinflammatorypopulation-based

Identifiers

PMID30634389
PMCPMC6352280
OpenAlexW2910773370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.