Mental Health of Prostate Cancer Patients: Content Review on YouTubeTM

Muzii, Benedetta; Bello, Francesco Di; Carraturo, Fabio; Perna, Tiziana Di; Califano, Gianluigi; Morra, Simone; Mangiapia, Francesco; Scandurra, Cristiano; Giuliani, Luigi; Celentano, Giuseppe; Rocca, Roberto La; Creta, Massimiliano; Longo, Nicola; Maldonato, Mauro; Ruvolo, Claudia Collà

doi:10.3390/ijerph20064721

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…Inaccuracies in information about mental health in media, such as YouTube, have recently been noted in a study. 37 This is noteworthy as patients describe the internet as an information source.…”

Section: Discussionmentioning

confidence: 99%

Preferences for Tailored Support – Patients’ and Health Care Professionals’ Experiences Regarding Symptoms and Self-Management Strategies During the First Year After Curatively Intended Prostate Cancer Treatment

Kelmendi,

Nilsson,

Taloyan

et al. 2024

PPA

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Purpose There is an increase in the number of men undergoing screening for prostate cancer, and advancements in treatments, which implies current knowledge about symptoms and self-management. This study aims to explore experiences of symptom distress, and self-management strategies during the first year after curatively intended treatment for prostate cancer, as identified by patients and health care professionals. Methods A qualitative design was used, including data triangulation from individual interviews with patients (n =17) and one focus group interview with healthcare professionals (n =5). Thematic analysis was used. Results The two main themes were identified: living with the consequences of treatment and navigating a new situation. Living with the consequences of treatment illustrated how losing control of bodily functions such as bladder, bowel, and sexual functions interfered with daily life. A stigma around the disease was described, and a life living in an unfamiliar body challenged ideas of masculinity. The first months after treatment ended was a distressing period related to the abruption in frequent contact with healthcare providers, and concerns about the future. The second theme, navigating a new situation , illustrates that self-management strategies varied, due to individual factors as did the need for tailored information and support provided from healthcare professionals and family, which was highly valued. Information and support were described as complex topics and healthcare professionals emphasized the need for appropriate education for staff to provide proper support to men after ended treatment. Conclusion Lingering symptoms and concerns were evident during the first year after treatment. Self-management strategies varied, and timely and tailored information and support during the first year were considered highly valued, important, and preferred by patients. Our results indicate that support should be offered immediately after curatively intended treatment.

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Section: Discussionmentioning

confidence: 99%

Preferences for Tailored Support – Patients’ and Health Care Professionals’ Experiences Regarding Symptoms and Self-Management Strategies During the First Year After Curatively Intended Prostate Cancer Treatment

Kelmendi,

Nilsson,

Taloyan

et al. 2024

PPA

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show abstract

“…Limited knowledge regarding the disease, embarrassment around physical examination such as rectal exam and discussion of sexual symptoms with healthcare professionals, potentially exacerbated depending on the provider gender 5,6 , are known causes of poor outcome among older patients and/or those belonging ethnic minorities [7][8][9] . These uncertainties and anxiety related to sexual symptoms could lead patients to search for information through online search engines in which the patient may end-up with either incomplete, contradictory, misleading, and/or inaccurate information 10 . This, in turn, could cause further delay in treatment and poor outcomes.…”

Section: Introductionmentioning

confidence: 99%

Domain-specific LLM Development and Evaluation – A Case-study for Prostate Cancer

Tariq,

Luo,

Urooj

et al. 2024

Preprint

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In this work, we present our strategy for developing domain-specific large language models which cover the vocabulary of the target domain and train on reliable sources of clinical information. Prostate cancer was chosen as a use-case for this study. We collected more than 1.8 million clinical notes and radiology and pathology reports for 15341 patients treated for prostate cancer in Mayo Clinic across three sites and outpatient clinics. In addition to domain-specific training data, we built domain-specific tokenizers and devised knowledge-guided training strategies for LLM development. During the self-supervised training, LLM was forced to predict domain-specific information by marking clinical terms using UMLS parser. We evaluated the model for downstream tasks of clinical information prediction and question answering using quantitative and user evaluation study to measure the accuracy, reliability and information completeness. We compared the domain-specific model against similarly sized general purpose model GPT-2 and a three-times larger domain specialized model. i.e., BioGPT. Our model outperformed GPT-2 on both tasks by a wide margin. Our model was also able to outperform BioGPT on clinical information prediction tasks and showed some advantages over BioGPT in question-answering tasks.

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“…Prostate cancer (PCa) is the second most frequent cancer in the male population, with an estimated 1.1 million diagnoses worldwide in 2012 [ 1 , 2 ]. The highest risk of PCa is in men over 50 years of age or age > 45 years with a family history of PCa [ 3 , 4 , 5 , 6 ]. The diagnosis is made by prostate biopsy in patients with abnormalities detected in their prostate-specific antigen (PSA) levels or digital rectal exam (DRE) [ 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center

et al. 2023

Self Cite

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Background and Objectives: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predictive factors in prostate cancer (PCa) patients undergoing RARP. Material and Methods: Within our institutional database, 265 PCa patients who underwent prostate biopsies and consecutive RARP at our center were enrolled (2018–2022). In the overall population, two independent multivariable logistic regression models (LRMs) predicting the presence of PNI or cribriform variant status at RARP were performed. In low- and intermediate-risk PCa patients according to D’Amico risk classification, three independent multivariable LRMs were fitted to predict upgrading. Results: Of all, 30.9% were low-risk, 18.9% were intermediate-risk and 50.2% were high-risk PCa patients. In the overall population, the rates of the cribriform variant and PNI at RARP were 55.8% and 71.1%, respectively. After multivariable LRMs predicting PNI, total tumor length in biopsy cores (>24 mm [OR: 2.37, p-value = 0.03], relative to <24 mm) was an independent predictor. After multivariable LRMs predicting cribriform variant status, PIRADS (3 [OR:15.37], 4 [OR: 13.57] or 5 [OR: 16.51] relative to PIRADS 2, all p = 0.01) and total tumor length in biopsy cores (>24 mm [OR: 2.47, p = 0.01], relative to <24 mm) were independent predicting factors. In low- and intermediate-risk PCa patients, the rate of upgrading was 74.4% and 78.0%, respectively. After multivariable LRMs predicting upgrading, PIRADS (PIRADS 3 [OR: 7.01], 4 [OR: 16.98] or 5 [OR: 20.96] relative to PIRADS 2, all p = 0.01) was an independent predicting factor. Conclusions: RARP represents a tailored and risk-adapted treatment strategy for PCa patients. The indication of RP progressively migrates to high-risk PCa after a pre-operative assessment. Specifically, the PIRADS score at mpMRI should guide the decision-making process of urologists for PCa patients.

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Mental Health of Prostate Cancer Patients: Content Review on YouTubeTM

Cited by 5 publications

References 42 publications

Preferences for Tailored Support – Patients’ and Health Care Professionals’ Experiences Regarding Symptoms and Self-Management Strategies During the First Year After Curatively Intended Prostate Cancer Treatment

Preferences for Tailored Support – Patients’ and Health Care Professionals’ Experiences Regarding Symptoms and Self-Management Strategies During the First Year After Curatively Intended Prostate Cancer Treatment

Domain-specific LLM Development and Evaluation – A Case-study for Prostate Cancer

Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center

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