Grant Number:	5R01CA278997-03 Interpret this number
Primary Investigator:	Loeb, Stacy
Organization:	New York University School Of Medicine
Project Title:	Addressing Circulation of Guideline-Discordant Information to Promote Optimal Prostate Cancer Care
Fiscal Year:	2025

Prostate cancer information shared through popular social networks such as YouTube, Instagram and TikTok is widely viewed but guideline-discordant information is common. This has important implications for informed decision-making and quality of life. Exposure to guideline-discordant information is an understudied and potentially modifiable contributor to negative outcomes in prostate cancer. We will address this research gap through three key approaches: (1) We will examine the most common types of guideline-discordant information being shared about prostate cancer through social media in English and Spanish. (2) We will also explore how high-risk men evaluate online prostate cancer information. (3) We will conduct a randomized trial to test the efficacy of digital skills interventions among U.S. adults. Our multi-disciplinary team is well-suited to lead this study with expertise in prostate cancer clinical care, biostatistics, epidemiology, and social media. Our advisory board includes multi-disciplinary patients, experts and community leaders, who will be involved in all stages of the research design and in the public dissemination of results. The expected outcomes of this study will advance the field and promote health by studying ways to address guideline-discordant information about prostate cancer.




Combating online misinformation in clinical encounters.
Authors: Loeb S. , Rangel Camacho M. , Sanchez Nolasco T. , Byrne N. , Rivera A. , Barlow L. , Chan J. , Gomez S. , Langford A.T. .
Source: Bju International, 2025 Aug; 136(2), p. 177-179.
EPub date: 2025-04-15 00:00:00.0.
PMID: 40235199
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Artificial intelligence and patient education.
Authors: Paluszek O. , Loeb S. .
Source: Current Opinion In Urology, 2025-05-01 00:00:00.0; 35(3), p. 219-223.
EPub date: 2025-02-12 00:00:00.0.
PMID: 39945126
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Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot.
Authors: Musheyev D. , Pan A. , Gross P. , Kamyab D. , Kaplinsky P. , Spivak M. , Bragg M.A. , Loeb S. , Kabarriti A.E. .
Source: Jama Network Open, 2024-07-01 00:00:00.0; 7(7), p. e2422275.
EPub date: 2024-07-01 00:00:00.0.
PMID: 39058491
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Cancer misinformation on social media.
Authors: Loeb S. , Langford A.T. , Bragg M.A. , Sherman R. , Chan J.M. .
Source: Ca: A Cancer Journal For Clinicians, 2024-06-19 00:00:00.0; , .
EPub date: 2024-06-19 00:00:00.0.
PMID: 38896503
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How Well Do Artificial Intelligence Chatbots Respond to the Top Search Queries About Urological Malignancies?
Authors: Musheyev D. , Pan A. , Loeb S. , Kabarriti A.E. .
Source: European Urology, 2024 Jan; 85(1), p. 13-16.
EPub date: 2023-08-10 00:00:00.0.
PMID: 37567827
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Quality of erectile dysfunction information from ChatGPT and other artificial intelligence chatbots.
Authors: Pan A. , Musheyev D. , Loeb S. , Kabarriti A.E. .
Source: Bju International, 2023-11-24 00:00:00.0; , .
EPub date: 2023-11-24 00:00:00.0.
PMID: 37997563
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Assessment of Artificial Intelligence Chatbot Responses to Top Searched Queries About Cancer.
Authors: Pan A. , Musheyev D. , Bockelman D. , Loeb S. , Kabarriti A.E. .
Source: Jama Oncology, 2023-10-01 00:00:00.0; 9(10), p. 1437-1440.
PMID: 37615960
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Prostate cancer and podcasts: an analysis and assessment of the quality of information about prostate cancer available on podcasts.
Authors: Scott C. , Campbell P. , Nemirovsky A. , Loeb S. , Malik R. .
Source: Prostate Cancer And Prostatic Diseases, 2023-07-25 00:00:00.0; , .
EPub date: 2023-07-25 00:00:00.0.
PMID: 37491431
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