Publications by authors named "Shu-Jia Guo"

Aim: To psychometrically validate the Chinese version of the dry eye-related quality-of-life score questionnaire (DEQS-CHN) among Chinese patients with dry eye.

Methods: This study involved 231 participants, including 191 with dry eye disease (DED) comprising the dry eye disease group, and 40 healthy participants forming the control group. Participants were required to complete the DEQS-CHN, and Chinese dry eye questionnaire and undergo clinical tests including the fluorescein breakup time (FBUT), corneal fluorescein staining (CFS), and Schirmer I test.

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Purpose: This study aimed to assess the drug risk of drug-related keratitis and track the epidemiological characteristics of drug-related keratitis.

Methods: This study analyzed data from the U.S.

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Uveal melanoma (UM) patients face a significant risk of distant metastasis, closely tied to a poor prognosis. Despite this, there is a dearth of research utilizing big data to predict UM distant metastasis. This study leveraged machine learning methods on the Surveillance, Epidemiology, and End Results (SEER) database to forecast the risk probability of distant metastasis.

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Objective: To explore the main reasons of medical malpractice of fetal abnormalities and to analyze the key points and the ideas in judicial appraisal.

Methods: According to the related laws, regulations and clinical practice guidelines, the medical faults and the contribution degree in 12 medical malpractice cases about fetal abnormalities were analyzed.

Results: There were medical faults in five cases.

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Synopsis of recent research by authors named "Shu-Jia Guo"

  • - Shu-Jia Guo's recent research focuses on various aspects of ophthalmology, particularly in assessing quality of life related to eye conditions, investigating drug-related complications, and utilizing machine learning for cancer prognosis.
  • - One significant study psychometrically validated the Chinese version of the dry eye-related quality-of-life score questionnaire among patients with dry eye disease, indicating its suitability for clinical use.
  • - Another study analyzed the epidemiological characteristics of drug-related keratitis using real-world FDA data, while a third utilized machine learning techniques to predict distant metastasis in uveal melanoma patients, emphasizing the potential for big data in improving cancer outcomes.