Evidence map›Paper›PMID 36555994›Full record

ArticleJournal of clinical medicine2022

Lifestyle and Symptom Risk Factors for Dry Eye Disease in Asian Gout Population: A Population-Based Case-Control Study.

Chia-Yi Lee, Ie-Bin Lian, Yan-Ni Jhan, Shun-Fa Yang, Chao-Kai Chang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 4 institutions in 1 country.

Chia-Yi LeeInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0002-5719-0488
Ie-Bin LianInstitute of Statistical and Information Science, National Changhua University of Education, Changhua 50007, Taiwan.ORCID 0000-0003-3992-6049
Yan-Ni JhanInstitute of Statistical and Information Science, National Changhua University of Education, Changhua 50007, Taiwan.
Shun-Fa YangInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0002-0365-7927
Chao-Kai ChangNobel Eye Institute, Taipei 100008, Taiwan.
National Changhua University of Education · TWChung Shan Medical University Hospital · TWDayeh University · TWJen-Ai Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to investigate the lifestyle and symptom factors related to dry eye disease (DED) presence in patients with persistent gout using the Taiwan Biobank (TWB) database. A retrospective case-control study was conducted, and patients with a history of gout longer than 10 years were enrolled in the persistent-gout group. Each persistent-gout patient was age- and sex-matched to two non-gout individuals who served as the control group, and we included a total of 973 and 1946 patients in the persistent-gout group and non-gout groups. The main outcome of our study is the presence of DED and the distribution of several lifestyle and symptom risk factors of DED in persistent-gout and non-gout individuals. Logistic regression considering the age and sex and interaction test was applied to estimate the correlation of each lifestyle and symptom risk factor to DED in the two groups. A total of 95 and 140 DED events were found in the persistent-gout and non-gout groups, with a significantly higher percentage in the persistent-gout population (aOR: 1.167, 95% CI: 1.073-3.855,

Indexed as

alcoholdry eye diseasegoutlifestylevisual display terminal

Identifiers

PMID36555994
PMCPMC9785552
OpenAlexW4312141327

What OpenQuestion holds

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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.