Cancer medicine
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Comparative Study
Response to first-line treatment predicts progression-free survival benefit of small-cell lung cancer patients treated with anlotinib.
Anlotinib significantly extended progression-free survival (PFS) and overall survival (OS) in small-cell lung cancer (SCLC) as third or later line treatment. ⋯ Anlotinib is an effective option for SCLC patients with tolerable toxicity as second or later line treatment. Patients sensitive to first-line treatment had longer PFS when treated with anlotinib. Anloitnib combined with other therapy increased the efficacy without adding toxicity.
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In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of cancer-related challenges. Medical institutions, hospital systems, and technology companies are developing AI tools aimed at supporting clinical decision making, increasing access to cancer care, and improving clinical efficiency while delivering safe, high-value oncology care. ⋯ Yet, adoption of AI tools is not widespread, and the impact of AI on patient outcomes remains uncertain. Major barriers for AI implementation in oncology include biased and heterogeneous data, data management and collection burdens, a lack of standardized research reporting, insufficient clinical validation, workflow and user-design challenges, outdated regulatory and legal frameworks, and dynamic knowledge and data. Concrete actions that major stakeholders can take to overcome barriers to AI implementation in oncology include training and educating the oncology workforce in AI; standardizing data, model validation methods, and legal and safety regulations; funding and conducting future research; and developing, studying, and deploying AI tools through multidisciplinary collaboration.
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To permit timely mitigation of adverse effects on overall clinical outcome, it is essential to understand how the pandemic influences distress and health-related quality of life (HRQOL) in cancer patients during the coronavirus disease 2019 (COVID-19) pandemic. ⋯ Particularly younger and female cancer patients, and those with impaired emotional functioning are distressed by COVID-19. During the first COVID-19 lockdown, cancer patients remained predominantly resilient. This analysis highlights the need to mitigate distress situations in vulnerable patients and thereby enhance resilience during pandemics.