Sociocognitive Functioning and Psychosocial Burden in Patients with Brain Tumors

Pertz, Milena; Schlegel, Uwe; Thoma, Patrizia

doi:10.3390/cancers14030767

Cited by 12 publications

(7 citation statements)

References 167 publications

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“…The field of neuro-oncology, characterized by its significant emotional and cognitive demands on patients, presents a distinctive context for decision-making processes (Pertz et al 2022 ). This context positions neuro-oncology at the intersection of clinical challenges and technological opportunities, particularly regarding the implementation of LLMs within SDM frameworks.…”

Section: Future Directionsmentioning

confidence: 99%

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications

Lawson McLean,

Wu,

Lawson McLean

et al. 2024

J Cancer Res Clin Oncol

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Shared decision-making (SDM) is crucial in neuro-oncology, fostering collaborations between patients and healthcare professionals to navigate treatment options. However, the complexity of neuro-oncological conditions and the cognitive and emotional burdens on patients present significant barriers to achieving effective SDM. This discussion explores the potential of large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard to overcome these barriers, offering a means to enhance patient understanding and engagement in their care. LLMs, by providing accessible, personalized information, could support but not supplant the critical insights of healthcare professionals. The hypothesis suggests that patients, better informed through LLMs, may participate more actively in their treatment choices. Integrating LLMs into neuro-oncology requires navigating ethical considerations, including safeguarding patient data and ensuring informed consent, alongside the judicious use of AI technologies. Future efforts should focus on establishing ethical guidelines, adapting healthcare workflows, promoting patient-oriented research, and developing training programs for clinicians on the use of LLMs. Continuous evaluation of LLM applications will be vital to maintain their effectiveness and alignment with patient needs. Ultimately, this exploration contends that the thoughtful integration of LLMs into SDM processes could significantly enhance patient involvement and strengthen the patient-physician relationship in neuro-oncology care.

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Section: Future Directionsmentioning

confidence: 99%

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications

Lawson McLean,

Wu,

Lawson McLean

et al. 2024

J Cancer Res Clin Oncol

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“…Poor survival of glioma patients may lead to a heavy mental burden ( 11 , 12 ). Apart from that, glioma patients face some other problems: for example, areas of brain impairment could cause a high risk of mental disorders ( 13 , 14 ). Moreover, treatments of glioma (such as surgery, chemotherapy, etc.)…”

Section: Introductionmentioning

confidence: 99%

Risk factors, prognostic potency, and longitudinal variation of anxiety and depression in postoperative glioma patients

Wang

2023

Front. Surg.

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ObjectiveAnxiety and depression are common mental disorders in glioma patients. This study aimed to evaluate the risk factors, prognostic role, and longitudinal changes in anxiety and depression in postoperative glioma patients.MethodsAnxiety and depression were assessed by Hospital Anxiety and Depression Scale at baseline, month (M) 6, M12, M24 and M36 in 270 glioma patients after surgical resection. Furthermore, comprehensive clinic characteristics and treatment-related information were collected.ResultsGender (female vs. male) (P = 0.014, odds ratio (OR) = 1.974), marital status (single/divorced/widowed vs. married) (P = 0.019, OR = 2.172), Karnofsky performance status (KPS) score (≤70 vs. > 70) (P = 0.002, OR = 2.556), World Health Organization (WHO) classification (high-grade glioma (HGG) vs. low-grade glioma (LGG)) (P = 0.005, OR = 2.155), and postoperative complications (yes vs. not) (P = 0.001, OR = 2.525) were independently related to anxiety occurrence. Marital status (single/divorced/widowed vs. married) (P = 0.034, OR = 2.026), KPS score (≤70 vs. > 70) (P < 0.001, OR = 3.880), WHO classification (HGG vs. LGG) (P = 0.032, OR = 1.810), and postoperative complications (yes vs. not) (P = 0.001, OR = 2.602) were independently related to depression occurrence. Besides, anxiety (P = 0.038) and depression (P = 0.013) were linked with shorter overall survival (OS), and depression was an independent risk factor for worse OS (P = 0.040, hazard ratio = 1.596). More importantly, anxiety and depression remained at a high prevalence during a 3-year follow-up.ConclusionGender, marital status, KPS score, WHO classification, and postoperative complications are risk factors for anxiety and depression; moreover, anxiety and depression are at high prevalence continuously and correlated with worse survival in postoperative glioma patients.

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“…Cognitive dysfunction occurs in up to 91% of patients with brain tumors [1][2][3][4][5][6][7] and has a major impact on quality of life. Even mild cognitive dysfunction can affect daily activities, the ability to work, and social roles [8]. Higher scores on cognitive assessment batteries are positively associated with quality of life and patient well-being [9].…”

Section: Introductionmentioning

confidence: 99%

Association of Radiation Dose to the Amygdala–Orbitofrontal Network with Emotion Recognition Task Performance in Patients with Low-Grade and Benign Brain Tumors

Hardy,

Finkelstein,

Milano

et al. 2023

Cancers

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Background: Although data are limited, difficulty in social cognition occurs in up to 83% of patients with brain tumors. It is unknown whether cranial radiation therapy (RT) dose to the amygdala–orbitofrontal network can impact social cognition. Methods: We prospectively enrolled 51 patients with low-grade and benign brain tumors planned for cranial RT. We assessed longitudinal changes on an emotion recognition task (ERT) that measures the ability to recognize emotional states by displaying faces expressing six basic emotions and their association with the RT dose to the amygdala–orbitofrontal network. ERT outcomes included the median time to choose a response (ERTOMDRT) or correct response (ERTOMDCRT) and total correct responses (ERTHH). Results: The RT dose to the amygdala–orbitofrontal network was significantly associated with longer median response times on the ERT. Increases in median response times occurred at lower doses than decreases in total correct responses. The medial orbitofrontal cortex was the most important variable on regression trees predicting change in the ERTOMDCRT. Discussion: This is, to our knowledge, the first study to show that off-target RT dose to the amygdala–orbitofrontal network is associated with performance on a social cognition task, a facet of cognition that has previously not been mechanistically studied after cranial RT.

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Sociocognitive Functioning and Psychosocial Burden in Patients with Brain Tumors

Cited by 12 publications

References 167 publications

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications

Large language models as decision aids in neuro-oncology: a review of shared decision-making applications

Risk factors, prognostic potency, and longitudinal variation of anxiety and depression in postoperative glioma patients

Association of Radiation Dose to the Amygdala–Orbitofrontal Network with Emotion Recognition Task Performance in Patients with Low-Grade and Benign Brain Tumors

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