ArticleEye (London, England)2023
Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study.
Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Analysis of the level of polypharmacy in patients from an isolated rural area: effect of age, sex, and chronic diseases.Frontiers in digital health · 2025Article
- Relationship between dry eye disease and myopia: A systematic review and meta-analysis.Heliyon · 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
- Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis.Scientific reports · 2023Observational
Corrections and comments
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Authors and funding
21 authors at 5 institutions in 2 countries.
Funding
Abstract
BACKGROUND/
objectiveTo test the feasibility of a dry eye disease (DED) symptom stratification algorithm previously established for the general population among patients visiting ophthalmologists. SUBJECT/
methodsThis retrospective cross-sectional study was conducted between December 2015 and October 2021 at a university hospital in Japan; participants who underwent a comprehensive DED examination and completed the Japanese version of the Ocular Surface Disease Index (J-OSDI) were included. Patients diagnosed with DED were stratified into seven clusters using a previously established symptom-based stratification algorithm for DED. Characteristics of the patients in stratified clusters were compared.
resultsIn total, 426 participants were included (median age [interquartile range]; 63 [48-72] years; 357 (83.8%) women). Among them, 291 (68.3%) participants were diagnosed with DED and successfully stratified into seven clusters. The J-OSDI total score was highest in cluster 1 (61.4 [52.2-75.0]), followed by cluster 5 (44.1 [38.8-47.9]). The tear film breakup time was the shortest in cluster 1 (1.5 [1.1-2.1]), followed by cluster 3 (1.6 [1.0-2.5]). The J-OSDI total scores from the stratified clusters in this study and those from the clusters identified in the previous study showed a significant correlation (r = 0.991, P < 0.001).
conclusionsThe patients with DED who visited ophthalmologists were successfully stratified by the previously established algorithm for the general population, uncovering patterns for their seemingly heterogeneous and variable clinical characteristics of DED. The results have important implications for promoting treatment interventions tailored to individual patients and implementing smartphone-based clinical data collection in the future.
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