Publications by authors named "Takenori Inomata"

Our systematic review and meta-analysis elucidates the postoperative complication rates associated with 3 major surgical approaches, including the scleral tunnel, glued, and flanged techniques, for sutureless intrascleral intraocular lens (IOL) fixation. An online search was performed for articles published in PubMed and EMBASE between January 1, 1975, and January 7, 2023. Original studies reporting postoperative complications of sutureless intrascleral IOL fixation were included.

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Background: Assessing changes in quality of life in patients with hay fever-related allergic conjunctivitis requires validated and clinically meaningful metrics. A minimal clinically important difference (MCID) that can be applied to assess Domain II of the Japanese Allergic Conjunctival Disease Quality of Life Questionnaire (JACQLQ) in a smartphone app setting has yet to be determined.

Objective: This cross-sectional observational study aimed to determine MCIDs for the app-based JACQLQ in assessing hay fever-related allergic conjunctivitis.

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Society 5.0, proposed as part of the 5th Science and Technology Basic Plan by Japan's National Institute of Advanced Industrial Science and Technology, is a human-centered society where cyberspace and physical space are integrated, to resolve social challenges and promote economic growth. In Society 5.

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Article Synopsis
  • A systematic review and meta-analysis were conducted to explore the relationship between dry eye disease (DED) and myopia, analyzing studies from 1984 to 2022.
  • The review indicated that 45.1% of myopic individuals reported dry eye symptoms, with myopia linked to higher Ocular Surface Disease Index scores and reduced tear film stability.
  • The findings highlight the need for preventive measures against DED in myopic patients, particularly for younger individuals at greater risk, emphasizing increased awareness and early diagnosis.
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Background: Hay fever (HF) presents with various symptoms, including allergic conjunctivitis and rhinitis, and requires cross-organ treatment. This study assessed the impact of the coronavirus disease 2019 (COVID-19) pandemic on HF treatment trends.

Methods: This retrospective cohort study utilized data from the JMDC database collected between January 2018 and May 2021.

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Purpose: Long-term ramifications of the coronavirus disease 2019 pandemic on various care-seeking characteristics of patients with diabetic retinopathy remain unclear. This study aimed to identify risk factors for dropout from regular fundus examinations (RFEs) in patients with diabetic retinopathy in Japan.

Methods: We extracted demographic and health checkup data (April 2018 to March 2021) from the JMDC database.

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  • Artificial intelligence shows potential for diagnosing allergic conjunctival diseases (ACDs), but its development is hindered by a lack of tailored image databases and model explainability.
  • This study utilized a dataset of 4,942 slit-lamp images from 10 institutions in Japan to create an AI model that diagnoses ACDs and explains its reasoning.
  • Results indicated the AI model achieved a diagnostic accuracy of 86.2%, significantly outperforming board-certified ophthalmologists, and demonstrated effective identification of key clinical indicators for various ACDs.
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Purpose: This study aimed to compare subjective allergic conjunctivitis symptoms and anti-allergic eye drop use patterns between antihistamine-releasing contact lens users and daily disposable soft contact lens users during Japan's hay fever season.

Methods: This web-based retrospective cohort study included daily disposable soft contact lens or antihistamine-releasing contact lens users with a history of seasonal allergic conjunctivitis who regularly used daily disposable soft contact lenses since the previous year. The total ocular symptom score (range 0-20) based on 5-item questionnaire scores and time from the start of the hay fever season to the initiation of anti-allergic eye drop treatment were compared between antihistamine-releasing contact lens users and daily disposable soft contact lens users.

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Article Synopsis
  • There is a growing need for allergy care education that caters to both specialists and non-specialists in the medical field, as existing research on this topic is limited.
  • The ENGAGE-TF developed a virtual educational program called 'Outreach Lectures,' with support from the Japanese Society of Allergology, which was promoted widely and included a survey for feedback.
  • Results showed strong satisfaction among participants, especially non-specialist physicians, indicating a significant demand for allergy education in primary care, highlighting the importance of ongoing evaluation of educational effectiveness.
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Background: In 2022, the "New Capitalism Grand Design and Implementation Plan" was adopted in Japan, emphasizing the promotion and environmental development of startups. Given this context, an investigation into the startup and investment landscape in the allergy sector, both domestically and internationally, becomes imperative.

Methods: We analyzed 156 allergy-related startups from Japan, the US, and Europe from 2010 to 2021.

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Purpose: We report the clinical findings and molecular identification of ocular from Niigata Prefecture in the Hokuriku area of Japan during winter.

Observations: A 77-year-old male visited an ophthalmology clinic in Niigata Prefecture in January 2022 after a 2-week-duration of a conjunctival injection in the left eye and foreign body sensation. Slit-lamp microscopy revealed 11 active nematodes in the left conjunctival sac.

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Article Synopsis
  • * Out of 427 patients, 69.3% were diagnosed with DED, with ROC analysis revealing a cutoff score of 15.0 points on the DEQS as optimal for diagnosing DED, boasting high sensitivity (83.5%) and specificity (87.0%).
  • * The study established DEQS cutoff values of 15.0, 20.0, and 26.8 points to classify DED severity into mild, moderate, and severe forms, highlighting its usefulness in clinical settings
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Topic: Numerous smartphone applications have been devised for diagnosis, treatment, and symptom management in ophthalmology. Despite the importance of systematic evaluation of the purpose, target disease, effectiveness, and utility of smartphone applications to their effective utilization, few studies have formally evaluated their validity, reliability, and clinical utility.

Clinical Relevance: This report identifies smartphone applications with potential for clinical implementation in ophthalmology and summarizes the evidence on their practical utility.

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Background: Dry eye (DE) and hay fever (HF) show synergistic exacerbation of each other's pathology through inflammatory pathways.

Objective: This study aimed to investigate the association between DE and HF comorbidity and the related risk factors.

Methods: A cross-sectional observational study was conducted using crowdsourced multidimensional data from individuals who downloaded the AllerSearch smartphone app in Japan between February 2018 and May 2020.

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The coronavirus disease (COVID-19) pandemic has emphasized the paucity of non-contact and non-invasive methods for the objective evaluation of dry eye disease (DED). However, robust evidence to support the implementation of mHealth- and app-based biometrics for clinical use is lacking. This study aimed to evaluate the reliability and validity of app-based maximum blink interval (MBI) measurements using DryEyeRhythm and equivalent traditional techniques in providing an accessible and convenient diagnosis.

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With approximately one million diagnosed cases and over 700,000 deaths recorded annually, gastric cancer (GC) is the third most common cause of cancer-related deaths worldwide. GC is a heterogeneous tumor. Thus, optimal management requires biomarkers of prognosis, treatment selection, and treatment response.

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Background: Using traditional patient-reported outcomes (PROs), such as paper-based questionnaires, is cumbersome in the era of web-based medical consultation and telemedicine. Electronic PROs may reduce the burden on patients if implemented widely. Considering promising reports of DryEyeRhythm, our in-house mHealth smartphone app for investigating dry eye disease (DED) and the electronic and paper-based Ocular Surface Disease Index (OSDI) should be evaluated and compared to determine their equivalency.

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Medical interviews are expected to undergo a major transformation through the use of artificial intelligence. However, artificial intelligence-based systems that support medical interviews are not yet widespread in Japan, and their usefulness is unclear. A randomized, controlled trial to determine the usefulness of a commercial medical interview support system using a question flow chart-type application based on a Bayesian model was conducted.

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Article Synopsis
  • * The researchers analyzed data from 7,590 participants, calculating MCIDs through both anchor-based and distribution-based methods, resulting in specific ranges for nasal symptom scores (NSS), non-nasal symptom scores (NNSS), and total symptom scores (TSS).
  • * The final suggested MCID ranges were 1.8-2.1 for NSS, 1.2-1.3 for NNSS, and 2.4-3.3 for TSS, providing valuable benchmarks
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Eye strain when performing tasks reliant on a digital environment can cause discomfort, affecting productivity and quality of life. Digital eye strain (the preferred terminology) was defined as "the development or exacerbation of recurrent ocular symptoms and/or signs related specifically to digital device screen viewing". Digital eye strain prevalence of up to 97% has been reported, due to no previously agreed definition/diagnostic criteria and limitations of current questionnaires which fail to differentiate such symptoms from those arising from non-digital tasks.

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Background/objective: To test the feasibility of a dry eye disease (DED) symptom stratification algorithm previously established for the general population among patients visiting ophthalmologists.

Subject/methods: This 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.

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Background: Dry eye disease (DED) is one of the most common ocular surface diseases. Numerous patients with DED remain undiagnosed and inadequately treated, experiencing various subjective symptoms and a decrease in quality of life and work productivity. A mobile health smartphone app, namely, the DEA01, has been developed as a noninvasive, noncontact, and remote screening device, in the context of an ongoing paradigm shift in the health care system, to facilitate a diagnosis of DED.

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