Publications by authors named "Shun Kondoh"

Introduction: Compared to platinum-based therapies, a combination of ipilimumab (anti-CTLA-4) and nivolumab (anti-PD-1) has demonstrated improved outcomes in advanced non-small cell lung cancer (NSCLC), albeit with higher rates of immune-related adverse events (irAEs). This multicenter retrospective study evaluated the efficacy and safety of nivolumab and ipilimumab with or without chemotherapy (NI and NICT) in real-world clinical settings.

Methods: We enrolled 215 treatment-naïve NSCLC patients who received NI or NICT between December 2020 and May 2023 at 14 institutions in Japan.

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Article Synopsis
  • Clinical amyopathic dermatomyositis is a skin condition that lacks muscle symptoms and is often associated with anti-melanoma differentiation-associated gene 5 antibodies, particularly in Japanese patients, leading to poor outcomes in those with lung complications.
  • A 52-year-old male presented with severe respiratory issues and skin rashes, diagnosed with dermatomyositis-related interstitial pneumonia, but treatment with steroids and immunosuppressants was largely ineffective.
  • Despite some initial improvement after switching medications, the patient ultimately faced worsening respiratory failure due to invasive pulmonary aspergillosis, resulting in a fatal outcome.
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Background: The easy-to-calculate gender, age, and lung physiology (GAP) model shows good predictive and discriminative performance in the prognosis of idiopathic pulmonary fibrosis (IPF). However, the GAP model was not effective in predicting the prognosis accurately in previous Japanese and Korean IPF cohort studies. Therefore, we developed a modified GAP model for the East-Asian populations by weighing the GAP variables.

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Background: The clinical course of idiopathic pulmonary fibrosis (IPF) shows great inter-individual differences. It is important to standardize the severity classification to accurately evaluate each patient׳s prognosis. In Japan, an original severity classification (the Japanese disease severity classification, JSC) is used.

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