A literature-derived dataset on risk factors for dry eye disease

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作者
Wanju Yang
Kuiliang Yang
Yumiao Pan
Shangcao Wu
Xiangxi Chen
Lei Shen
Qingyan Zeng
Jianhua Wu
Minzhi Lv
Junyan Zhang
Yanning Yang
Yiqiao Xing
机构
[1] Aier Eye Hospital of Wuhan University,Eye Center
[2] Renmin Hospital of Wuhan University,Department of Biostatistics, Zhongshan Hospital
[3] Fudan University,Center of Evidence
[4] Fudan University,Based Medicine
[5] Bothwin Clinical Study Consultant,Department of Clinical Study Designing
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Dry eye disease (DED) is a common disease associated with disorder of tear secretion. Research on risk factors for DED, such as depression, arthritis, thyroid disease, stroke and diabetes, is important to facilitate its diagnosis and prognosis. We created a dataset on risk factors for DED (DrDED) with public access that can provide up-to-date and validated data acquired from systematically searched and screened, high-quality studies. The established DrDED contained 119 studies published between 2000 and 2022. The range of the study sample size was from 43 to 4,871,504. The study types were, as follows: cross-sectional (n = 92), retrospective cohort (n = 9), prospective cohort (n = 10), and case-control (n = 8) studies. Data from eligible studies were collected and presented for the present study, including the publication information, study characteristics, definition and prevalence of the disease, and risk factors for DED, together with the strength of association. With the publication of new relevant studies, the DrDED will be updated, and the data will be made accessible to the users.Design Type(s)Dataset creation objectiveMeasurement Type(s)Patient outcome • scientific publication • risk factors • dry eye diseaseTechnology Type(s)Digital curation • documenting • meta-analysisFactor Type(s)Depression • arthritis • thyroid disease • stroke disease • diabetesSample Characteristic(s)Homo sapiens • dry eye disease • global
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