Evaluating the Feasibility of Web-Monitoring Methodology for Measuring Exposure to Online Cancer Misinformation [0.03%]
网页监控方法测量网上癌症错误信息暴露程度的可行性研究评价
Cindy A Turner,Andy J King,Ida Tovar et al.
Cindy A Turner et al.
Understanding the impact of online cancer misinformation exposure on health outcomes is an area of growing concern, but few methods exist to objectively measure this exposure. The primary aim of this paper is to describe the lessons learned...
Public Involvement in Cancer Research: Collaborative Evaluation Using Photovoice [0.03%]
癌症研究中的公众参与——使用摄影术进行协作评估
Piotr Teodorowski,Melanie McInnes,Glen Dale et al.
Piotr Teodorowski et al.
Background: A public involvement group consisting of 4 public contributors with lived experience of cancer diagnosis contributed to 2 cancer research projects that focused on optimizing the diagnostic pathways for patient...
Prevalence of Frailty and Its Predictors Among Patients With Cancer at the Chemotherapy Stage: Systematic Review [0.03%]
癌症化疗患者衰弱的患病率及其预测因素：系统回顾
Tingting Wang,Jinxia Jiang,Zihe Song et al.
Tingting Wang et al.
Background: Chemotherapy causes physiological, psychological, and social impairments in patients with cancer. Frailty reduces the effectiveness of chemotherapy and increases the toxicity associated with radiotherapy and c...
Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study [0.03%]
面向低社会经济女性的基于聊天机器人的宫颈癌筛查决策辅助工具的设计与验证：以用户为中心的方法研究
Alice Le Bonniec,Catherine Sauvaget,Eric Lucas et al.
Alice Le Bonniec et al.
Background: Cervical cancer (CC) screening participation remains suboptimal among vulnerable populations in France. This study aimed to develop and evaluate AppDate-You, a chatbot-based decision aid, to support women from...
Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor-Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort Analysis [0.03%]
基于多相CT影像纹理特征的程序性死亡蛋白1(PD-1)抑制剂敏感生物标志物预测：回顾性队列研究
Shiqi Wang,Na Chai,Jingji Xu et al.
Shiqi Wang et al.
Background: Immune checkpoint inhibitors represent an effective therapeutic approach for advanced gastric cancer. Their efficacy largely depends on the status of tumor biomarkers including human epidermal growth factor re...
Digital Health Portals for Individuals Living With or Beyond Cancer: Patient-Driven Scoping Review [0.03%]
面向癌症患者的生活门户：以患者为中心的回顾性研究
Steven Ouellet,Florian Naye,Wilfried Supper et al.
Steven Ouellet et al.
Background: Digital health portals are online platforms allowing individuals to access their personal information and communicate with health care providers. While digital health portals have been associated with improved...
Predicting Pathological Complete Response Following Neoadjuvant Therapy in Patients With Breast Cancer: Development of Machine Learning-Based Prediction Models in a Retrospective Study [0.03%]
基于机器学习的预测模型在乳腺癌新辅助治疗后病理完全缓解中的预测作用：一项回顾性研究
Chun-Chi Lai,Cheng-Yu Chen,Tzu-Hao Chang
Chun-Chi Lai
Background: Breast cancer is the most prevalent form of cancer worldwide, with 2.3 million new diagnoses in 2022. Recent advancements in treatment have led to a shift in the use of chemotherapy-targeted immunotherapy from...
Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong [0.03%]
基于美国和香港数据的机器学习方法在癌症患者中进行预测建模：合并症群组与癌症患者的死亡率之间的相关性研究
Chun Sing Lam,Rong Hua,Herbert Ho-Fung Loong et al.
Chun Sing Lam et al.
Background: Patients with cancer and cancer survivors often experience multiple chronic health conditions, which can impact symptom burden and treatment outcomes. Despite the high prevalence of multimorbidity, research on...
The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study [0.03%]
美国数字化差距对鼻腔和副鼻窦癌差异的影响：队列研究
David J Fei-Zhang,Amelia Sherron Lawrence,Daniel C Chelius et al.
David J Fei-Zhang et al.
Background: In the modern era, the use of technology can substantially impact care access. Despite the extent of its influence on several chronic medical conditions related to the heart, lungs, and others, the relationshi...
Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis [0.03%]
用于预测甲状腺滤泡性肿瘤癌变风险的规模特异性指标：机器学习分析
Xin Li,Wen-Yu Yang,Fan Zhang et al.
Xin Li et al.
Background: Surgeons often face challenges in distinguishing between benign and malignant follicular thyroid neoplasms (FTNs), particularly small tumors, until diagnostic surgery is performed. ...