Shared decision-making during prostate cancer consultations: Implications of clinician misalignment with patient and partner preferences

Stewart, Simon John; Roberts, Lisa; Brindle, Lucy

doi:10.1016/j.socscimed.2023.115969

Cited by 1 publication

(1 citation statement)

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“…Second, the heterogeneity of PCa 16 , both histologically and in various clinical examination results 17 , 18 , presents challenges as underlying factors yet to be fully explored contribute to a complex and variable disease course 19 . Third, the limitations of clinical experience and decision-making 20 , 21 may lead to subjective biases when designing patient treatment plans, resulting in medical errors or suboptimal objective treatment strategies 22 , affecting various aspects of surgical decisions and related patient interventions 23 – 25 . Any deviations in decision-making can substantially affect the survival and quality of life of patients with PCa and influence the efficiency of medical teams and hospitals.…”

Section: Introductionmentioning

confidence: 99%

RARPKB: a knowledge-guide decision support platform for personalized robot-assisted surgery in prostate cancer

Li,

Tang,

et al. 2024

International Journal of Surgery

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Background: Robot-assisted radical prostatectomy (RARP) has emerged as a pivotal surgical intervention for the treatment of prostate cancer. However, the complexity of clinical cases, heterogeneity of prostate cancer, and limitations in physician expertise pose challenges to rational decision-making in RARP. To address these challenges, we aimed to organize the knowledge of previously complex cohorts and establish an online platform named the RARP Knowledge Base (RARPKB) to provide reference evidence for personalized treatment plans. Materials and Methods: PubMed searches over the past two decades were conducted to identify publications describing RARP. We collected, classified, and structured surgical details, patient information, surgical data, and various statistical results from the literature. A knowledge-guided decision-support tool was established using MySQL, DataTable, ECharts, and JavaScript. ChatGPT-4 and two assessment scales were used to validate and compare the platform. Results: The platform comprised 583 studies, 1589 cohorts, 1 911 968 patients, and 11 986 records, resulting in 54 834 data entries. The knowledge-guided decision support tool provide personalized surgical plan recommendations and potential complications on the basis of patients’ baseline and surgical information. Compared with ChatGPT-4, RARPKB outperformed in authenticity (100% versus [vs.] 73%), matching (100% vs. 53%), personalized recommendations (100% vs. 20%), matching of patients (100% vs. 0%), and personalized recommendations for complications (100% vs. 20%). Post-use, the average System Usability Scale score was 88.88±15.03, and the Net Promoter Score of RARPKB was 85. The knowledge base is available at http://rarpkb.bioinf.org.cn. Conclusions: We introduced the pioneering RARPKB, the first knowledge base for robot-assisted surgery, with an emphasis on prostate cancer. RARPKB can assist in personalized and complex surgical planning for prostate cancer to improve its efficacy. RARPKB provides a reference for the future applications of artificial intelligence in clinical practice.

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