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1.
JCO Glob Oncol ; 10: e2400167, 2024 May.
Article in English | MEDLINE | ID: mdl-38822759

ABSTRACT

PURPOSE: Conflicts of interest (COIs) between oncologists and industry might considerably influence how the presentation of the research results is delivered, ultimately affecting clinical decisions and policy-making. Although there are many regulations on reporting COI in high-income countries (HICs), little is known about their reporting in low- and middle-income countries (LMICs). Oncology Transparency Under Scrutiny and Tracking (ONCOTRUST-1) is a pilot global survey to explore the knowledge and perceptions of oncologists regarding COI. MATERIALS AND METHODS: We designed an online 27-question-based survey in the English language to explore the perceptions and knowledge of oncologists regarding COI, with an emphasis on LMICs. Descriptive statistics and the Consensus-Based Checklist for Reporting of Survey Studies guidelines were used to report the findings. RESULTS: ONCOTRUST-1 surveyed 200 oncologists, 70.9% of them practicing in LMICs. Median age of the respondents was 36 (range, 26-84) years; 47.5% of them were women. Of the respondents, 40.5% reported weekly visits by pharmaceutical representatives to their institutions. Regarding oncologists' perceptions of COI that require disclosure, direct financial benefits, such as honoraria, ranked highest (58.5%), followed by gifts from pharmaceutical representatives (50%) and travel grants for attending conferences (44.5%). By contrast, personal or institutional research funding, sample drugs, consulting or advisory board, expert testimony, and food and beverage funded by pharmaceutical industry were less frequently considered as COI. Moreover, only 24% of surveyed oncologists could correctly categorize all situations representing a COI. CONCLUSION: These findings underscore the importance of clear guidelines, education, and transparency in reporting COI in oncology. This hypothesis-generating pilot survey provided the rationale for ONCOTRUST-2 study, which will compare perceptions of COI among oncologists in LMICs and HICs.


Subject(s)
Conflict of Interest , Disclosure , Medical Oncology , Humans , Cross-Sectional Studies , Female , Male , Adult , Middle Aged , Surveys and Questionnaires , Aged , Medical Oncology/ethics , Aged, 80 and over , Oncologists/psychology , Pilot Projects , Developing Countries
2.
JCO Clin Cancer Inform ; 8: e2400077, 2024 May.
Article in English | MEDLINE | ID: mdl-38822755

ABSTRACT

PURPOSE: Artificial intelligence (AI) models can generate scientific abstracts that are difficult to distinguish from the work of human authors. The use of AI in scientific writing and performance of AI detection tools are poorly characterized. METHODS: We extracted text from published scientific abstracts from the ASCO 2021-2023 Annual Meetings. Likelihood of AI content was evaluated by three detectors: GPTZero, Originality.ai, and Sapling. Optimal thresholds for AI content detection were selected using 100 abstracts from before 2020 as negative controls, and 100 produced by OpenAI's GPT-3 and GPT-4 models as positive controls. Logistic regression was used to evaluate the association of predicted AI content with submission year and abstract characteristics, and adjusted odds ratios (aORs) were computed. RESULTS: Fifteen thousand five hundred and fifty-three abstracts met inclusion criteria. Across detectors, abstracts submitted in 2023 were significantly more likely to contain AI content than those in 2021 (aOR range from 1.79 with Originality to 2.37 with Sapling). Online-only publication and lack of clinical trial number were consistently associated with AI content. With optimal thresholds, 99.5%, 96%, and 97% of GPT-3/4-generated abstracts were identified by GPTZero, Originality, and Sapling respectively, and no sampled abstracts from before 2020 were classified as AI generated by the GPTZero and Originality detectors. Correlation between detectors was low to moderate, with Spearman correlation coefficient ranging from 0.14 for Originality and Sapling to 0.47 for Sapling and GPTZero. CONCLUSION: There is an increasing signal of AI content in ASCO abstracts, coinciding with the growing popularity of generative AI models.


Subject(s)
Abstracting and Indexing , Artificial Intelligence , Medical Oncology , Humans , Medical Oncology/methods
3.
BMJ Paediatr Open ; 8(1)2024 May 31.
Article in English | MEDLINE | ID: mdl-38823801

ABSTRACT

INTRODUCTION: In paediatric oncology, 'breaking bad news'-BBN-like cancer diagnosis is perceived as particularly challenging. Enabling a trialogue between children with their relatives and health professionals requires profound communication skills. Lacking the skills, experience or adequate support tools might result in negative consequences for both paediatric oncologists as BBN transmitters and BBN receivers as children with cancer and their relatives.In contrast to oncology for adults, multiperspective studies that explore BBN experience and specific support needs are rare, especially in Germany. Systematically developed and practically piloted support instruments, which address the specific needs of paediatric oncology, are missing. OBJECTIVE: To systematically design and mature in practice an orientation compass for preparing, delivering and following up on BBN conversations in paediatric oncology-so-called Orientierungskompass zur Übermittlung schwerwiegender Nachrichten in der Kinderonkologie (OKRA). METHODS AND ANALYSIS: OKRA is based on a QUAL-quant mixed study design, comprising two phases. Four groups will contribute (1) experts through personal experience (representatives for children receiving BBN and their parents), (2) medical care providers and representatives of national medical societies, (3) ambulant psychosocial/psychological support providers and (4) researchers. In phase 1, multiperspective knowledge is generated through a participatory group Delphi that involves in-depth interviews, focus group discussions and questionnaires. This process culminates in formulating theses for a high-quality BBN process (output phase 1). In phase 2, based on the theses, a pilot orientation compass is designed. Through iterative cycles with the participatory action research method, this instrument will be piloted in three paediatric oncological settings and consequently optimised. ETHICS AND DISSEMINATION: OKRA was approved on 19 September 2023 by the ethics committee of the Medical Faculty of the University of Cologne (No. 23-1187). After project completion, the OKRA compass will be distributed to multidisciplinary paediatric oncology teams throughout Germany. TRIAL REGISTRATION NUMBER: DRKS00031691.


Subject(s)
Truth Disclosure , Humans , Child , Germany , Neoplasms/therapy , Neoplasms/psychology , Medical Oncology/methods , Pediatrics/methods , Communication , Physician-Patient Relations , Parents/psychology , Professional-Family Relations
5.
Cancer Discov ; 14(6): 915-919, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38826097

ABSTRACT

SUMMARY: Drug-tolerant residual disease (DTRD) after the initial maximal response to a systemic therapy can serve as a tumor reservoir for the development of acquired drug resistance and represents a major clinical challenge across various cancers and types of therapies. To unlock the next frontier in precision oncology, we propose a fundamental paradigm shift in the treatment of metastatic cancers with a sharpened focus towards defining, monitoring, and therapeutically targeting the DTRD state.


Subject(s)
Neoplasm, Residual , Neoplasms , Precision Medicine , Humans , Precision Medicine/methods , Neoplasm, Residual/drug therapy , Neoplasms/drug therapy , Drug Resistance, Neoplasm , Antineoplastic Agents/therapeutic use , Medical Oncology/methods
6.
Can Med Educ J ; 15(2): 86-87, 2024 May.
Article in English | MEDLINE | ID: mdl-38827910

ABSTRACT

The field of oncology presents a number of emotionally challenging situations for a trainee to navigate which might not have been previously encountered in training. With the assistance of a guide, reflecting on such situations can be helpful; however, no tool exists in the literature specifically for clinical oncology situations and tailored to provide trainees guidance through the reflective process. Consequently, we present a self-guided reflection tool design using four established reflection models and improved over three iterations of feedback.


Le domaine de l'oncologie présente un certain nombre de situations émotionnellement difficiles à gérer pour un stagiaire qui n'a peut-être jamais été confronté à de telles situations au cours de sa formation. Avec l'aide d'un guide, il peut être utile de réfléchir à ces situations. Cependant, il n'existe pas dans la littérature d'outil adapté aux situations cliniques en oncologie et conçu pour guider les stagiaires tout au long du processus de réflexion. Par conséquent, nous présentons un outil d'autoréflexion conçu à partir de quatre modèles de réflexion établis et amélioré au cours de trois rondes de rétroaction.


Subject(s)
Medical Oncology , Humans , Medical Oncology/education , Self-Assessment
7.
Clin J Oncol Nurs ; 28(3): 263-271, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38830244

ABSTRACT

BACKGROUND: Managing antineoplastic orders, side effects, and symptoms is a primary role of oncology advanced practice providers (APPs). Antineoplastic management (ANM) is complex because of risk of medication errors, narrow therapeutic range of agents, frequent dose adjustments, and multiple drug regimens. OBJECTIVES: This article describes an academic institution's review of current practice for ANM privileging and employing Plan-Do-Study-Act (PDSA) cycles to develop a revised process relevant to APP practice, addressing efficiency, accessibility, and cost-effectiveness. METHODS: Using consecutive PDSA cycles, the team revised the didactic portion of the ANM privileging process and collaborated with nurses, pharmacists, and physicians for mentoring expertise. FINDINGS: The revised process resulted in increased relevance of ANM didactic content while requiring 75% less time to complete. To date, all ANM-privileged APPs at the institution (N = 49) have completed the revised ANM privileging process, with a 100% pass rate on the competency assessment.


Subject(s)
Antineoplastic Agents , Humans , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/economics , Quality Improvement , Neoplasms/drug therapy , Female , Male , Advanced Practice Nursing , Medical Oncology , Oncology Nursing/standards
8.
Rev Prat ; 74(5): 485-488, 2024 May.
Article in French | MEDLINE | ID: mdl-38833223

ABSTRACT

THE ONCOLOGIST, DEATH AND THE PHARMAKON. Stopping chemotherapy for patients treated in oncology is a difficult moment, feared by oncologists because it is often associated with abandonment or even failure in front of a resistant or aggressive disease. End-of-life chemotherapy is still common in oncology departments. However, it will be harmful if it causes side effects which alter the quality of life of patients or even hasten their death. But above all, this chemotherapy delays the implementation of appropriate palliative care support. Questioning the risk of hubris (excess) in some treatment, asking the relationship between the patient and his death, and prioritizing the quality of last moments is essential to best support patients on the path to the end o f life.


L'ONCOLOGUE, LA MORT ET LE PHARMAKON. L'arrêt des chimiothérapies des malades traités en oncologie est un moment difficile, redouté par les oncologues car souvent associé à un abandon, voire à un échec, face à une maladie résistante devenue trop agressive. La chimio thérapie de la fin de vie est encore fréquente dans les services d'oncologie. Elle est pourtant délétère si elle entraîne des effets indésirables qui altèrent la qualité de vie des malades, voire précipitent leur décès. Mais, surtout, cette chimiothérapie "de trop" retarde la mise en place d'un accompagnement adapté en soins palliatifs. Interroger le risque d'hubris de certains traitements, questionner le rapport à la mort du malade et privilégier la qualité du temps qui reste est pourtant essentiel pour accompagner au mieux les malades sur le chemin de la fin de vie.


Subject(s)
Neoplasms , Oncologists , Palliative Care , Humans , Neoplasms/drug therapy , Palliative Care/methods , Medical Oncology , Terminal Care/methods , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/adverse effects , Withholding Treatment , Physician-Patient Relations , Attitude to Death
9.
Multimedia | Multimedia Resources | ID: multimedia-13170

ABSTRACT

Este vídeo comemorativo destaca nossa história de excelência e conquistas. Uma homenagem inspiradora à nossa jornada de meio século de sucesso.


Subject(s)
Foundations , Medical Oncology
12.
Investig Clin Urol ; 65(3): 202-216, 2024 May.
Article in English | MEDLINE | ID: mdl-38714511

ABSTRACT

PURPOSE: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in urological diseases. This study aimed to comprehensively review recent applications of AI in urologic oncology. MATERIALS AND METHODS: We searched the PubMed-MEDLINE databases for articles in English on machine learning (ML) and deep learning (DL) models related to general surgery and prostate, bladder, and kidney cancer. The search terms were a combination of keywords, including both "urology" and "artificial intelligence" with one of the following: "machine learning," "deep learning," "neural network," "renal cell carcinoma," "kidney cancer," "urothelial carcinoma," "bladder cancer," "prostate cancer," and "robotic surgery." RESULTS: A total of 58 articles were included. The studies on prostate cancer were related to grade prediction, improved diagnosis, and predicting outcomes and recurrence. The studies on bladder cancer mainly used radiomics to identify aggressive tumors and predict treatment outcomes, recurrence, and survival rates. Most studies on the application of ML and DL in kidney cancer were focused on the differentiation of benign and malignant tumors as well as prediction of their grade and subtype. Most studies suggested that methods using AI may be better than or similar to existing traditional methods. CONCLUSIONS: AI technology is actively being investigated in the field of urological cancers as a tool for diagnosis, prediction of prognosis, and decision-making and is expected to be applied in additional clinical areas soon. Despite technological, legal, and ethical concerns, AI will change the landscape of urological cancer management.


Subject(s)
Artificial Intelligence , Urologic Neoplasms , Humans , Urologic Neoplasms/therapy , Prostatic Neoplasms/therapy , Kidney Neoplasms , Urinary Bladder Neoplasms/therapy , Male , Medical Oncology/methods , Deep Learning , Machine Learning
13.
Nutrients ; 16(10)2024 May 09.
Article in English | MEDLINE | ID: mdl-38794665

ABSTRACT

Although evidence-based nutrition care is recommended for patients with cancer, current nutrition care practices provided by nutritionists and dietitians in Southeast Asian countries are not clearly reported. The aim of this scoping review was to describe nutritionists' and dietitians' current oncology nutrition care practice within Southeast Asia by identifying access to dietetic services, tools or strategies used in providing care, and barriers and enablers to implementing nutrition care practices. Five databases (Ovid MEDLINE, Global Health, Embase, Cochrane Central Register of Controlled Trials, and Proquest) were searched through structured search strategies, in addition to strategic searching of grey literature. A total of 4261 sources of evidence were retrieved. After full-text screening, 18 studies from Southeast Asian countries met the inclusion criteria and were included in this review. The provision and reporting of nutrition care practices provided by nutritionists and dietitians were limited. Access to dietetic services, including nutritional screening tools and reason to be referred, were varied within studies. Barriers and enablers to nutrition care provision were unique and related to each country's specific resources and guidelines. In summary, there was varied reporting of nutrition care practices provided to patients with cancer in Southeast Asia and a lack of clarity on the actual standardized processes. Future research is warranted to further explore the barriers and enablers to providing nutrition care by local nutritionists and dietitians in Southeast Asia.


Subject(s)
Neoplasms , Nutrition Therapy , Humans , Asia, Southeastern , Neoplasms/therapy , Nutrition Therapy/methods , Nutritionists , Medical Oncology , Dietetics/methods
14.
JCO Glob Oncol ; 10: e2300486, 2024 May.
Article in English | MEDLINE | ID: mdl-38754049

ABSTRACT

PURPOSE: Shared decision making (SDM) is an approach where clinicians and patients make decisions together using the best available evidence. Although much studied, recognized to be ethically imperative, and recommended in international health policies, it remains poorly implemented. In the Philippines, there are limited studies on patient decision making preferences and SDM. Practical guidance on the implementation of SDM or use of patient decision aids (PtDAs) is often not detailed in existing national clinical practice guidelines in oncology. METHODS: We performed a systematic search of Philippine literature on SDM in oncology and an iterative review of international literature on the philosophy and methods of SDM, the utility and effectiveness of PtDAs, and the facilitators and barriers to implementation or usage. We contextualized our review to the cervical cancer management and health service delivery in the Philippines. RESULTS: Local literature is limited to five scientific publications and two registered studies. International literature encompasses patient decisional preferences, the role of PtDAs and the standards for their development and evaluation, their effectiveness, and barriers and facilitators to their use in cancer-related decision making. We discussed the implications on the management of cervical cancer in the Philippines, challenges in health service delivery and standards, and SDM research. CONCLUSION: Local SDM research is limited. Our preliminary experience in a multicenter clinical trial in Manila on PtDA use in the framework of SDM in cervical cancer suggest good patient and clinician acceptability. Challenges to implementation such as unfavorable financial situations, urgency of clinical decisions, low patient or caregiver educational attainment, and poor integration of multidisciplinary and SDM in organizational workflows will be important when implementing SDM in different settings.


Subject(s)
Decision Making, Shared , Uterine Cervical Neoplasms , Humans , Uterine Cervical Neoplasms/therapy , Philippines , Female , Patient Participation , Medical Oncology/organization & administration , Medical Oncology/standards , Decision Support Techniques
17.
Indian J Med Ethics ; IX(2): 159-160, 2024.
Article in English | MEDLINE | ID: mdl-38755774

ABSTRACT

This article explores an oncologist's journey from emotional vulnerability to practised detachment. A transformative moment, prompted by a poignant photograph of a patient in a scarlet saree, confronts the author with the emotional intricacies of patient care. The narrative delves into the human stories woven into the medical landscape, capturing the delicate balance between clinical detachment and maintaining a genuine connection. It prompts reflection on the emotional dynamics within the decision-making fabric of healthcare.


Subject(s)
Empathy , Medical Oncology , Physician-Patient Relations , Humans , Physician-Patient Relations/ethics , Medical Oncology/ethics , Emotions , Oncologists/psychology , Neoplasms/complications , Neoplasms/psychology , Narration , Decision Making/ethics
19.
Rev Med Suisse ; 20(874): 954-959, 2024 May 15.
Article in French | MEDLINE | ID: mdl-38756031

ABSTRACT

The analysis of randomized clinical trials presents a challenge for clinicians. A set of critical elements can facilitate their interpretation. One must question whether the inclusion and exclusion criteria accurately mirror clinical practice. Does the control arm align with what is currently recognized as best practice? Do patients in the control group have access to the best options when the cancer progresses or recurs? The degree of confidence with which phase II trial results can be interpreted also warrants consideration. Finally, informative censoring can be searched for by comparing early censoring rates between treatment arms. Faced with the challenges of interpreting scientific literature, these keys can help the clinician and guide the eventual integration of new results into shared medical decision-making.


L'analyse d'essais cliniques randomisés est un défi pour le clinicien. Une série d'éléments clés peuvent toutefois aider à l'interprétation. Tout d'abord, les critères d'inclusion et d'exclusion reflètent-ils la pratique quotidienne ? Ensuite, le bras contrôle correspond-il aux meilleures pratiques reconnues ? Est-ce que les patients du groupe contrôle ont un accès aux meilleures options lorsque le cancer progresse ou récidive ? Avec quelle confiance interpréter des résultats de phase II ? Enfin, la censure informative peut être recherchée en comparant les taux de censure précoce entre les bras de traitements. Face aux défis de l'interprétation de la littérature scientifique, ces clés peuvent être une aide pour le clinicien et guider l'intégration éventuelle de nouveaux résultats dans la décision médicale partagée.


Subject(s)
Medical Oncology , Neoplasms , Randomized Controlled Trials as Topic , Humans , Neoplasms/therapy , Medical Oncology/methods , Medical Oncology/standards , Clinical Decision-Making/methods
20.
Front Public Health ; 12: 1381075, 2024.
Article in English | MEDLINE | ID: mdl-38756877

ABSTRACT

This research delves into the disparities in access to oncology care among cancer patients in Georgia, with a specific focus on the distinct challenges faced by African American (AA) individuals compared to non-African American (Non-AA) counterparts. Leveraging data from the 2020 Behavioral Risk Factor Surveillance System (BRFSS) survey and supplementary online resources, the study meticulously examines socioeconomic factors, including income, education, and insurance coverage, which significantly influence the quality of cancer care received. The analysis reveals substantial income gaps between AA and Non-AA patients, underscoring the critical implications for healthcare access. Moreover, AA patients exhibit lower rates of full insurance coverage for cancer-related treatments, posing additional barriers to comprehensive care. By investigating the intersections of race, income, and education, the research aims to pinpoint the root causes of these disparities and proposes evidence-based solutions to address the identified challenges. The ultimate objective is to contribute valuable insights that inform targeted policy recommendations and community-based interventions, fostering a more equitable landscape for oncology care in Georgia. This study seeks to amplify awareness and advocate for tangible measures, striving toward healthcare equity for all cancer patients, irrespective of their racial or socioeconomic backgrounds.


Subject(s)
Black or African American , Health Services Accessibility , Healthcare Disparities , Neoplasms , Socioeconomic Factors , Humans , Neoplasms/therapy , Georgia , Healthcare Disparities/statistics & numerical data , Male , Female , Black or African American/statistics & numerical data , Middle Aged , Adult , Behavioral Risk Factor Surveillance System , Medical Oncology , Insurance Coverage/statistics & numerical data , Aged
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