Adolescents and young adults (AYAs), often defined as those aged 15-39 years, face unique challenges in oncology that are often unmet by conventional care models. This systematic review examines evidence on establishing dedicated AYA oncology units, focusing on logistical, infrastructural, and personnel-related recommendations. A PRISMA-guided search of PubMed (2000-2024) identified seven studies that emphasized early stakeholder involvement and collaboration between pediatric and adult oncology teams to ensure comprehensive care. Multidisciplinary teams (MDTs) of oncologists, nurses, and psychosocial support staff were highlighted as essential to address AYA patients' diverse needs. Care models varied, with some advocating consultation-based services and others supporting dedicated units. Priorities included increasing clinical trial enrollment, fertility counseling, and creating environments attuned to AYA patients' social and psychological needs. Key barriers included limited funding, institutional resistance, and inadequate pediatric/adult team collaboration. Despite progress, the lack of standardized guidelines and long-term data on AYA unit efficacy remains a challenge. Further research is required to develop outcome metrics, refine care models, and enhance survival and quality of life for AYA cancer patients.
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http://dx.doi.org/10.3390/curroncol32020101 | DOI Listing |
Eur Stroke J
March 2025
Institute of Cardiovascular and Metabolic Sciences, University of Glasgow, Glasgow, UK.
Introduction: A better understanding of who will develop dementia can inform patient care. Although MRI offers prognostic insights, access is limited globally, whereas CT-imaging is readily available in acute stroke. We explored the prognostic utility of acute CT-imaging for predicting dementia.
View Article and Find Full Text PDFCancer Med
March 2025
Centre for Public Health, Queen's University Belfast, Belfast, UK.
Introduction: Colorectal cancer (CRC) incidence is increasing in Uganda. Despite this, and the disproportionately high burden of early onset and late-stage CRC cases, no CRC screening program exists in Uganda. To guide and inform future CRC prevention efforts, interviews with key stakeholders were undertaken to better understand the perceived barriers and opportunities relevant to the development and implementation of a CRC screening program in Uganda.
View Article and Find Full Text PDFAnn Surg
March 2025
Health Care Delivery Research, Mayo Clinic Florida.
Objective: This study addressed whether kidney transplant (KTx) candidates, ages 60+, should accept a high KDPI kidney and differences when considering a high (>85% vs low (<85%) KDPI KTx.
Summary/background Data: To date, there is limited survival data to guide decision-making for patients aged 60 years and older who are faced with the choice of accepting a high KDPI kidney or remaining on the waitlist.
Methods: Propensity-matched cohort study using data from United Network on Organ Sharing (2014-2021).
Curr Med Res Opin
March 2025
Division of Rheumatology, Allergy and Immunology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Background: Systemic lupus erythematosus (SLE) is a multifaceted autoimmune disorder that significantly impacts renal function. Despite conventional treatments, morbidity and mortality remain high, necessitating the exploration of safer and more effective therapies, including the potential benefits of Traditional Chinese Medicine (TCM) for improving kidney health and survival rates.
Methods: Patients with newly diagnosed with SLE with catastrophic illness certificate were retrospectively enrolled from CGRD between 2005 and 2020.
JMIR Med Inform
March 2025
Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, No.119 Nansihuanxi Road, Fengtai District, Beijing, 100070, China, 86 17611757717.
Background: Publicly accessible critical care-related databases contain enormous clinical data, but their utilization often requires advanced programming skills. The growing complexity of large databases and unstructured data presents challenges for clinicians who need programming or data analysis expertise to utilize these systems directly.
Objective: This study aims to simplify critical care-related database deployment and extraction via large language models.
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