Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach [0.03%]
癌症患者多维症状体验复杂性的研究：网络分析方法系统评价
Vincent Richard,Allison Gilbert,Emanuela Pizzolla et al.
Vincent Richard et al.
Background: Advances in therapies have significantly improved the outcomes of patients with cancer. However, multidimensional symptoms negatively impact patients' quality of life. Traditional symptom analysis methods fail...
Perception and Counseling for Cardiac Health in Breast Cancer Survivors Using the Health Belief Model: Qualitative Analysis [0.03%]
基于健康信念模型的心脏健康感知和咨询：乳腺癌幸存者中的定性分析
Sarah Tucker Marrison,Nicholas Shungu,Vanessa Diaz
Sarah Tucker Marrison
Background: Breast cancer survivors have increased cardiovascular risk compared to those without cancer history. Cardiovascular disease is the most common cause of death in breast cancer survivors. Cardiovascular risk in ...
Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal [0.03%]
纳入血液检测趋势的临床预测模型在癌症检出中的应用：系统综述、荟萃分析及批判性评估
Pradeep S Virdee,Kiana K Collins,Claire Friedemann Smith et al.
Pradeep S Virdee et al.
Background: Blood tests used to identify patients at increased risk of undiagnosed cancer are commonly used in isolation, primarily by monitoring whether results fall outside the normal range. Some prediction models incor...
Development of a Mobile App to Support Head and Neck Cancer Caregiving: Mixed Methods Study [0.03%]
支持头颈癌照护的移动应用程序开发：混合方法研究
Katherine Sterba,Evan Graboyes,Jessica Burris et al.
Katherine Sterba et al.
Background: Survivors with head and neck cancer (HNC) face challenging treatment consequences that can lead to severe disruptions in swallowing and result in weight loss, malnutrition, and feeding tube dependence. Caregiv...
Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review [0.03%]
晚期癌症患者家庭临终关怀住院体验、需求及感知的元合成与系统综述
Xin Ming Deng,Kanokwan Hounsri,Violeta Lopez et al.
Xin Ming Deng et al.
Background: Home-based hospice care offers patients with terminal cancer the comfort of receiving care in a familiar environment while enabling family members to provide personalised support. Despite the critical role fam...
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study [0.03%]
基于机器学习和真实世界数据预测筛查年龄以下人群的早发性结直肠癌：病例对照研究
Chengkun Sun,Erin Mobley,Michael Quillen et al.
Chengkun Sun et al.
Background: Colorectal cancer is now the leading cause of cancer-related deaths among young Americans. Accurate early prediction and a thorough understanding of the risk factors for early-onset colorectal cancer (EOCRC) a...
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb [0.03%]
利用人工智能进行肿瘤学数字症状管理：CRCWeb的开发
Darren Liu,Yufen Lin,Runze Yan et al.
Darren Liu et al.
Digital health interventions offer promise for scalable and accessible health care, but access is still limited by some participatory challenges, especially for disadvantaged families facing limited health literacy, language barriers, low i...
Implementation of a Quality Improvement and Clinical Decision Support Tool for Cancer Diagnosis in Primary Care: Process Evaluation [0.03%]
基层医疗癌症诊疗质量改进和临床决策支持工具的实施过程评价
Sophie Chima,Barbara Hunter,Javiera Martinez-Gutierrez et al.
Sophie Chima et al.
Background: For patients with cancer, the pathway to diagnosis will most often begin in general practice. In the absence of strong diagnostic features or in patients with nonspecific symptoms, delays in diagnosis can occu...
Randomized Controlled Trial
JMIR cancer. 2025 Jun 12:11:e65461. DOI:10.2196/65461 2025
Examining How Technology Supports Shared Decision-Making in Oncology Consultations: Qualitative Thematic Analysis [0.03%]
技术在肿瘤学咨询中支持共同决策的作用机制定性研究
Alan Yung,Tim Shaw,Judy Kay et al.
Alan Yung et al.
Background: Commonly used digital health technologies, such as electronic health record systems and patient portals as well as custom-built digital decision aids, have the potential to enhance person-centered shared decis...
Next-Generation Sequencing-Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non-Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods [0.03%]
基于下一代测序技术在美国晚期或转移性非鳞状非小细胞肺癌患者中的检测：使用机器学习方法进行预测模型构建
Alan James Michael Brnabic,Ilya Lipkovich,Zbigniew Kadziola et al.
Alan James Michael Brnabic et al.
Background: Next-generation sequencing (NGS) has become a cornerstone of treatment for lung cancer and is recommended in current treatment guidelines for patients with advanced or metastatic disease. ...