Background: Despite the importance of accurate prognostic understanding in patients with advanced cancer, there is little consensus around how to conceptualize and measure the multidimensional construct. Most studies focus on single aspects of prognostic understanding (e.g., curability) that clinicians have identified as important; no previous research has asked patients how they define "prognosis."
Aim: The present study examined how patients with advanced cancer conceptualize their "prognosis." It also explored how patients assigned value to prognostic information and the impact of prognosis on life perspectives.
Design: A phenomenological approach was used to analyze semi-structured interviews with individuals with advanced cancer to examine how patients define prognosis.
Setting/participants: English and Spanish-speaking patients with advanced cancer ( = 29) were recruited from ambulatory clinics at a comprehensive cancer center in New York City.
Results: To conceptualize prognosis, patients focused on concrete medical data, anticipated survival and quality of life, impact on meaningful life events, uncertainty, and physician affect. They discussed the importance of maintaining normalcy despite prognosis, knowledge as a form of coping, information reframing, and altered decision-making as means of coping with prognostic information.
Conclusions: Given the range of ways patients define prognosis and assign value to prognostic information, clinicians should incorporate a thorough assessment of patient information preferences, values, and coping styles when engaging in end-of-life discussions. Trainings should emphasize the importance of nonverbal cues (i.e., affect management, body language) in prognostic disclosure.
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http://dx.doi.org/10.1177/02692163231173067 | DOI Listing |
Med Phys
December 2024
Heidelberg Institute for Radiation Oncology (HIRO) and National Center for Radiation Research in oncology (NCRO), Heidelberg, Germany.
Background: Carbon-ion radiotherapy provides steep dose gradients that allow the simultaneous application of high tumor doses as well as the sparing of healthy tissue and radio-sensitive organs. However, even small anatomical changes may have a severe impact on the dose distribution because of the finite range of ion beams.
Purpose: An in-vivo monitoring method based on secondary-ion emission could potentially provide feedback about the patient anatomy and thus the treatment quality.
Esophagus
December 2024
Department of Pathology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Background: Esophageal cancer is highly prevalent in China, predominantly represented by squamous cell carcinoma. This retrospective study sought to evaluate the diagnostic efficacy of four staining protocols in identifying early stage esophageal squamous cell carcinoma (ESCC).
Methods: A consecutive series of ninety biopsy samples of esophageal mucosa, collected retrospectively from March 2016 to December 2019, were obtained at Beijing Chao-Yang Hospital, a tertiary care facility in Beijing, China.
Clin Transl Oncol
December 2024
Lillian S Wells Department of Neurosurgery at the University of Florida: University of Florida Lillian S Wells Department of Neurosurgery, Gainesville, FL, USA.
Glioblastoma (GBM) is one of the most common primary malignant brain tumors. Annually, there are about six instances recorded per 100,000 inhabitants. Treatment for GB has not advanced all that much.
View Article and Find Full Text PDFEur Arch Otorhinolaryngol
December 2024
King Hussein Cancer Center, Medical Oncology Department, Amman, Jordan.
Purpose: Over the last 40 years, there has been an unusual trend where, even though there are more varied treatments, survival rates have not improved much. Our study used survival analysis and machine learning (ML) to investigate this odd situation and to improve prediction methods for treating non-metastatic LSCC.
Methods: The surveillance, epidemiology and end results (SEER) database provided the data used for this study's analysis.
Chem Biodivers
December 2024
Shanghai University of Traditional Chinese Medicine, School of Traditional Chinese Medicine, #1200 Cailun road, Shanghai, CHINA.
Bisindole alkaloids constitute a significant class of natural compounds distinguished by their characteristic bisindole structure and renowned for their anticancer properties. Over the past six decades, researchers have isolated 425 microorganism-derived bisindole alkaloids (MDBAs). Among them, 187 MDBAs have demonstrated anticancer properties against various in vitro cancer cell lines, primarily by impeding the cell cycle, restraining cell proliferation, and inducing apoptosis and autophagy.
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