ArticleJournal of medical Internet research2020
Stratification of Individual Symptoms of Contact Lens-Associated Dry Eye Using the iPhone App DryEyeRhythm: Crowdsourced Cross-Sectional Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Association of dry eye disease with smoking: A systematic review and meta-analysis.Indian journal of ophthalmology · 2022Pooled it
- Characteristics of self-reported asthenopia in a large-scale crowdsourced study using the smartphone application DryEyeRhythm.Scientific reports · 2026Article
- Diagnostic methods for managing dry eyes.World journal of methodology · 2025Article
- Profiling eyewash usage and preferences in individuals with hay fever using a digital cross-sectional cohort study with AllerSearch.Scientific reports · 2025Article
- Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Study.JMIR formative research · 2024Observational
- The impact of COVID-19 on hay fever treatment in Japan: A retrospective cohort study based on the Japanese claims database.Clinical and translational allergy · 2024Article
- A Medical Paradigm Shift in Society 5.0: Implementation of a Smartphone App-based Dry Eye Diagnosis Assistance Software as a Medical Device.Juntendo Iji zasshi = Juntendo medical journal · 2024Article
- Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study.Eye (London, England) · 2023Article
- Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study.Journal of medical Internet research · 2023Observational
- Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis.Scientific reports · 2023Observational
- Smartphone App-Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study.Journal of medical Internet research · 2023Article
- The minimal clinically important difference of app-based electronic patient-reported outcomes for hay fever.Clinical and translational allergy · 2023Article
- Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study.JMIR research protocols · 2023Article
- P4 Medicine for Heterogeneity of Dry Eye: A Mobile Health-based Digital Cohort Study.Juntendo Iji zasshi = Juntendo medical journal · 2023Review
- Patient and public involvement in mobile health-based research for hay fever: a qualitative study of patient and public involvement implementation process.Research involvement and engagement · 2022Article
- Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2022Review
- Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study.JMIR mHealth and uHealth · 2022Article
- Changing Medical Paradigm on Inflammatory Eye Disease: Technology and Its Implications for P4 Medicine.Journal of clinical medicine · 2022Article
- Article
- Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study.NPJ digital medicine · 2021Article
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiscontinuation of contact lens use is mainly caused by contact lens-associated dry eye. It is crucial to delineate contact lens-associated dry eye's multifaceted nature to tailor treatment to each patient's individual needs for future personalized medicine.
objectiveThis paper aims to quantify and stratify individual subjective symptoms of contact lens-associated dry eye and clarify its risk factors for future personalized medicine using the smartphone app DryEyeRhythm (Juntendo University).
methodsThis cross-sectional study included iPhone (Apple Inc) users in Japan who downloaded DryEyeRhythm. DryEyeRhythm was used to collect medical big data related to contact lens-associated dry eye between November 2016 and January 2018. The main outcome measure was the incidence of contact lens-associated dry eye. Univariate and multivariate adjusted odds ratios of risk factors for contact lens-associated dry eye were determined by logistic regression analyses. The t-distributed Stochastic Neighbor Embedding algorithm was used to depict the stratification of subjective symptoms of contact lens-associated dry eye.
resultsThe records of 4454 individuals (median age 27.9 years, SD 12.6), including 2972 female participants (66.73%), who completed all surveys were included in this study. Among the included participants, 1844 (41.40%) were using contact lenses, and among those who used contact lenses, 1447 (78.47%) had contact lens-associated dry eye. Multivariate adjusted odds ratios of risk factors for contact lens-associated dry eye were as follows: younger age, 0.98 (95% CI 0.96-0.99); female sex, 1.53 (95% CI 1.05-2.24); hay fever, 1.38 (95% CI 1.10-1.74); mental illness other than depression or schizophrenia, 2.51 (95% CI 1.13-5.57); past diagnosis of dry eye, 2.21 (95% CI 1.63-2.99); extended screen exposure time >8 hours, 1.61 (95% CI 1.13-2.28); and smoking, 2.07 (95% CI 1.49-2.88). The t-distributed Stochastic Neighbor Embedding analysis visualized and stratified 14 groups based on the subjective symptoms of contact lens-associated dry eye.
conclusionsThis study identified and stratified individuals with contact lens-associated dry eye and its risk factors. Data on subjective symptoms of contact lens-associated dry eye could be used for prospective prevention of contact lens-associated dry eye progression.
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