Development of a Web-Based Experiential Learning Intervention for the Public to Reduce Cancer Stigma: Tutorial on the Application of Intervention Mapping [0.03%]
基于网络的体验式学习干预措施的发展，以减少公众对癌症的病耻感：关于应用干预措施映射的教程
Miyako Tsuchiya,Keiichiro Adachi,Akiko Kimata et al.
Miyako Tsuchiya et al.
Background: Stigma may negatively impact individuals throughout the continuum of cancer care and survivorship. Multitheory and multilevel intervention programs are necessary to reduce stigma but remain globally limited. ...
Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts [0.03%]
用于支持肿瘤学随机对照试验清晰写作和检测“spin”的大型语言模型：GPT模型和提示的比较分析
Carole Koechli,Fabio Dennstädt,Christina Schröder et al.
Carole Koechli et al.
Background: Randomized controlled trials (RCTs) are the gold standard for evaluating interventions in oncology, but reporting can be subject to "spin"-presenting results in ways that mislead readers about true efficacy. ...
Comparative Study
JMIR cancer. 2026 Jan 21:12:e78221. DOI:10.2196/78221 2026
Surrogate Decision-Making by Family Caregivers for Hyperthermic Intraperitoneal Chemotherapy in Gastric Cancer: Qualitative Study in a High-Volume Chinese Center [0.03%]
中国高量胃癌中心家庭护理人员代理决策用于超高温腹腔化疗的定性研究
Zheng-Ke-Ke Tan,Dan-Ni Li,Kui Jia et al.
Zheng-Ke-Ke Tan et al.
Background: Hyperthermic intraperitoneal chemotherapy (HIPEC) has been integrated into the management of gastric cancer (GC) as a combined approach for addressing peritoneal metastasis, serving both prophylactic and thera...
Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review [0.03%]
利用潜在狄利克雷分配主题模型挖掘肾细胞癌研究隐含主题及趋势的文献计量学综述
Javier De La Hoz-M,Karime Montes-Escobar,Carlos Alfredo Salas-Macias et al.
Javier De La Hoz-M et al.
Background: Renal cell carcinoma (RCC) is a common, often lethal kidney cancer that originates in the renal cortex. Its incidence is rising, and major factors include smoking, obesity, and hypertension, though its etiolog...
Benefits and Challenges of a Digital Exercise and Mind-Body Program During Active Cancer Treatment: Qualitative Study of Patients' Perceptions [0.03%]
癌症治疗期间数字运动和身心计划的益处与挑战：患者感知的定性研究
Karolina L Bryl,Sierra Silverwood,Krupali Desai et al.
Karolina L Bryl et al.
Background: Individuals undergoing cancer treatment often face a high symptom burden that impairs quality of life. Exercise and mind-body therapies have been shown to reduce symptoms but are underused. We developed a digi...
Randomized Controlled Trial
JMIR cancer. 2026 Jan 16:12:e80075. DOI:10.2196/80075 2026
Prognostic Value of Dynamic Lactate Dehydrogenase Trends in Immunotherapy for Advanced Esophageal Squamous Cell Carcinoma: Retrospective Cohort Study [0.03%]
免疫治疗晚期食管鳞癌时乳酸脱氢酶动态变化的预后价值：回顾性队列研究
Baidong Zhang,Zhichao Kang,Yi Ding et al.
Baidong Zhang et al.
Background: Immune checkpoint inhibitors (ICIs) have emerged as a pivotal treatment for advanced esophageal squamous cell carcinoma (ESCC). However, their efficacy can significantly differ among patients, highlighting the...
Efficacy of Telehealth-Based Coaching to Improve Physical Activity and Overall Experience for Cancer Survivors: Secondary, Mixed Methods Analysis of a Randomized Controlled Trial [0.03%]
基于远程医疗的癌症幸存者改善身体活动和整体体验辅导效果的混合方法二次分析：随机对照试验副结果分析
Saif Khairat,Erin E Kent,John Geracitano et al.
Saif Khairat et al.
Background: Cancer survivors face significant challenges in maintaining adequate physical activity levels, which are essential for overall health and quality of life. Telehealth-based interventions offer promising opportu...
Randomized Controlled Trial
JMIR cancer. 2026 Jan 15:12:e78968. DOI:10.2196/78968 2026
Advanced Clinical-Based Technologies for Monitoring Physical Function in Breast Cancer Survivors: Scoping Review [0.03%]
基于临床的乳腺癌幸存者身体功能监测技术综述研究
Mahtab Azhdar,Adalberto Loyola-Sanchez,Amber Wardrop et al.
Mahtab Azhdar et al.
Background: People surviving breast cancer often face long-term impairments in physical function, significantly impacting their quality of life. In recent years, a variety of technologies have been developed to monitor an...
Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset [0.03%]
基于纪念斯隆凯特琳转移数据集的回顾性队列研究中用于预测转移性癌症患者死亡风险的可解释人工智能
Polycarp Nalela,Deepthi Rao,Praveen Rao
Polycarp Nalela
Background: Metastatic cancer remains one of the leading causes of cancer-related mortality worldwide. Yet, the prediction of survivability in this population remains limited by heterogeneous clinical presentations and hi...