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Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal

Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal

Risk prediction models for cancer could improve early detection rates. These models combine patient data, such as patient demographics, medical history, or cancer symptoms, to identify patients with an increased risk of undiagnosed cancer. Blood tests commonly performed in clinical practice, including full blood count (FBC) and liver function tests, are often included in cancer risk prediction models, as they have an important role in risk-stratifying symptomatic patients for cancer investigation [10,11].

Pradeep S Virdee, Kiana K Collins, Claire Friedemann Smith, Xin Yang, Sufen Zhu, Nia Roberts, Jason L Oke, Clare Bankhead, Rafael Perera, FD Richard Hobbs, Brian D Nicholson

JMIR Cancer 2025;11:e70275

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

Since 2018, Dutch pediatric cancer care has been centralized at the Princess Máxima Center, optimizing treatment outcomes and reducing toxicity [22]. Building on this model, the national Cancer in Pregnancy (CIP) offspring outpatient clinic was allowed to be hosted in this center to monitor all Dutch children prenatally exposed to maternal cancer and its treatment.

Evangeline A Huis in 't Veld, Anouk M Kruse, Emma J Verwaaijen, Sterre C Huizer, Elisabeth M van Dijk-Lokkart, Christianne Lok, Maaike Kuethe, Frederic Amant, Mathilde M A van Gerwen, Martine van Grotel, Marry M van den Heuvel-Eibrink

JMIR Res Protoc 2025;14:e71612

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

Family Experiences, Needs, and Perceptions in Home-Based Hospice Care for Patients With Terminal Cancer: Meta-Synthesis and Systematic Review

Cancer remains the second leading cause of death globally, with continually rising incidence rates each year [4]. Advances in cancer treatment and early detection have contributed to prolonged survival, even for patients in advanced stages. Nevertheless, extended survival often results in protracted suffering, posing significant physical, emotional, social, and spiritual challenges for both patients and their families, especially during the end-of-life phase [5].

Xin Ming Deng, Kanokwan Hounsri, Violeta Lopez, Wilson Wai-San Tam

JMIR Cancer 2025;11:e71596

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Case 2: Josh A 56-year-old Black man named Josh previously had colorectal cancer. His sister participated in In Our DNA SC based on a recommendation from her doctor. Josh’s sister convinced him that it would be beneficial for him to participate. He reluctantly agreed to participate but did not see much of a point since he had already been treated for colorectal cancer. Josh received results showing that he was positive for the MLH1 gene, which means he has Lynch syndrome.

Emma Coen, Guilherme Del Fiol, Kimberly A Kaphingst, Emerson Borsato, Jackilen Shannon, Hadley Smith, Aaron Masino, Caitlin G Allen

JMIR Cancer 2025;11:e65848

The Role of Online Support, Caregiving, and Gender in Preventative Cancer Genetic Testing Participation: Cross-Sectional Study From a National Study

The Role of Online Support, Caregiving, and Gender in Preventative Cancer Genetic Testing Participation: Cross-Sectional Study From a National Study

Consequently, the development and widespread adoption of effective screening strategies have become paramount in the fight against cancer. Among these strategies, genetic testing has emerged as a pivotal tool in cancer prevention and early detection [3]. By analyzing an individual’s DNA, genetic testing can identify mutations that may predispose individuals to various forms of cancer [4].

Lavlin Agrawal, Richelle Oakley DaSouza, Pavankumar Mulgund, Pankaj Chaudhary

JMIR Cancer 2025;11:e67650

Internet-Based Cognitive Behavioral Therapy Interventions for Caregivers of Patients With Cancer: Scoping Review

Internet-Based Cognitive Behavioral Therapy Interventions for Caregivers of Patients With Cancer: Scoping Review

The incidence and mortality rates of cancer are rapidly increasing globally. According to the International Agency for Research on Cancer, there were 19.29 million new cancer cases and 9.96 million cancer deaths worldwide in 2020, and the rise in cancer incidence and mortality rates has resulted in a significant disease burden on people [1]. The diagnosis and long-term treatment of cancer not only cause adversity for patients but also impose psychological stress and burdens on caregivers [2].

Chun Tong Shen, Jian Shi, Feng Xia Liu, Xiao Meng Lu

JMIR Cancer 2025;11:e67131

Piloting the Extension for Community Healthcare Outcomes (ECHO) Pediatric Oncology Telehealth Education Program in Western Kenya: Implementation Study

Piloting the Extension for Community Healthcare Outcomes (ECHO) Pediatric Oncology Telehealth Education Program in Western Kenya: Implementation Study

However, in the past 3 years, an average of only 216 pediatric patients were diagnosed with cancer annually [5]. This suggests that the remaining 75%‐80% of patients remain undiagnosed and likely do not survive (Figure 1). One example is pediatric leukemia, the most common type of pediatric cancer in this region. Although this malignancy should represent 300‐480 cases (ie, 30%‐40% of all pediatric cancer diagnosis), only 40 cases per year have been seen over the last several years [5].

Tyler Severance, Gilbert Olbara, Festus Njuguna, Martha Kipng'etich, Sandra Lang'at, Maureen Kugo, Jesse Lemmen, Marjorie Treff, Patrick Loehrer, Terry Vik

JMIR Form Res 2025;9:e59776

Understanding the Experiences of Patients With Pancreatic Cancer: Quantitative Analysis of the Pancreatic Cancer Action Network Patient Registry

Understanding the Experiences of Patients With Pancreatic Cancer: Quantitative Analysis of the Pancreatic Cancer Action Network Patient Registry

Both versions of the Pan CAN Patient Registry were designed to assist the pancreatic cancer community in understanding the “Right Track” for any patient with pancreatic cancer: right team, right tests, right treatment, and the opportunity to share their data [6].

Allison Rosenzweig, Sydney Rathjens, Kawther Abdilleh, Dennis Ladnier, Fatima Zelada-Arenas, Sudheer Doss, Lynn M Matrisian

J Particip Med 2025;17:e65046

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis

Breast cancer is more commonly diagnosed in older populations, particularly among women aged 65 years and older in wealthier countries. In the United States, the average age of breast cancer diagnosis is 62 years, and in 2020, women aged 70 years and older accounted for 30% of all new cases of the disease [1,2]. In the European Union, women older than 65 years made up about 44% of all breast cancer cases [3].

Pierre Heudel, Mashal Ahmed, Felix Renard, Arnaud Attye

JMIR Cancer 2025;11:e64000

A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

This clinician-confirmed cancer progression in unstructured text (ie, clinical notes) has been shown to serve as a reasonable surrogate for real-world indicators in ascertaining progression endpoints. This is also more practical for real-world studies than purely RECIST-based approaches [6].

Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

JMIR Cancer 2025;11:e64697