Objectives: Multiple clinical practice guidelines, conflicting evidence, and physician perceptions result in variations in risk stratification among patients with non-muscle-invasive bladder cancer (NMIBC). This study aims to describe the extent of this variation and its impact on management approaches in the Asia-Pacific region.
Methods: We conducted a cross-sectional survey involving 32 urologists and seven medical oncologists with ≥8 years of experience managing early-stage bladder cancer patients across Australia, Hong Kong, Japan, South Korea, Singapore, and Taiwan. The physicians completed an anonymous questionnaire that assessed their risk stratification and respective management approaches, based on 19 NMIBC characteristics. For each NMIBC characteristic, they were required to select one risk group, and their most preferred management approach.
Results: Our results demonstrated a higher consensus on risk classification versus management approaches. More than 50% of the respondents agreed on the risk classification of all NMIBC characteristics, but 42% or fewer chose the same treatment option as their preferred choice for all but two characteristics-existence of variant histology (55%) and persistent high-grade T1 disease on repeat resection (52%). Across territories, there was the greatest variation in preferred treatment options (i.e., no treatment, intravesical chemotherapy, or Bacillus Calmette-Guérin [BCG] treatment) for intermediate-risk patients and the highest consensus on the treatment of very high-risk patients, namely radical cystectomy.
Conclusions: Our study revealed considerable variation in risk stratification and management of NMIBC in the region. It is critical to develop practical algorithms to facilitate the recognition of NMIBC and standardize the treatment of NMIBC patients.
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http://dx.doi.org/10.1111/iju.15309 | DOI Listing |
Geroscience
January 2025
Department of Emergency Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy.
As the elderly population expands, enhancing emergency department (ED) care by assessing frailty becomes increasingly vital. To address this, we developed a novel electronic Frailty Index (eFI) from ED health records, specifically designed to assess frailty and predict hospitalization, in-hospital mortality, ICU admissions, and 30-day ED readmissions. This retrospective, single-center study included patients 65 years old or older who presented to the ED of IRCCS Humanitas Research Hospital in Milan, Italy, between January 2015 and December 2019.
View Article and Find Full Text PDFEur Heart J
January 2025
Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.
Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.
Background And Aims: The importance of risk stratification in patients with chest pain extends beyond diagnosis and immediate treatment. This study sought to evaluate the prognostic value of electrocardiogram feature-based machine learning models to risk-stratify all-cause mortality in those with chest pain.
Methods: This was a prospective observational cohort study of consecutive, non-traumatic patients with chest pain.
Am J Cancer Res
December 2024
Department of Digestive Surgery, Xijing Hospital of Digestive Diseases, Fourth Military Medical University Xi'an, Shaanxi, China.
N staging systems are paramount clinical features for colorectal cancer (CRC). In N1 stage (N1) CRC, patients present with a limited number of metastatic lymph nodes, yet their prognoses vary widely. The tumor invasion proportion of lymph nodes (TIPLN) has gained attention, but its prognostic value in N1 CRC remains unclear.
View Article and Find Full Text PDFAm J Cancer Res
December 2024
Department of Hematology, Cancer Hospital Affiliated to Shanxi Medical University/Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences Taiyuan 030013, Shanxi, China.
Objective: To analyze the clinical characteristics and molecular biomarkers of adult T-cell lymphoblastic lymphoma (T-LBL) to identify prognostic factors, and to evaluate the efficacy of different chemotherapy regimens, providing a basis for optimizing treatment strategies for T-LBL.
Methods: A total of 89 Patients aged 18-72 years with T-LBL, confirmed via histopathological examination of lymph nodes, extranodal tissues, or bone marrow, were retrospectively included. Clinical data, treatment details, and mutational profiles were collected.
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