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NCT05923684

NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making

Recruiting now NA Last updated 1 August 2025
What this trial tests

NA trial testing NLP-based Feedback in Prostate Cancer in 30 participants. Currently enrolling.

Timeline
15 November 2023
Primary endpoint
15 July 2026
15 July 2026

Quick facts

Lead sponsorCedars-Sinai Medical Center
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposehealth services research
Enrollment30
Start date15 November 2023
Primary completion15 July 2026
Estimated completion15 July 2026
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Cedars-Sinai Medical Center

Who can join

18 and older, male only, with Prostate Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

In this pilot study, the investigators will show feasibility of the NLP-based feedback system in 20 consultations of men with newly diagnosed prostate cancer. The investigators will recruit from the practices of up to 10 physicians who typically see these patients. The investigators will report the top five sentences from each consultation across key content areas (cancer prognosis, life expectancy, erectile dysfunction, urinary incontinence, and irritative urinary symptoms) to both patients and physicians within 2 weeks of the consultation.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Prostate Cancer

Currently open trials in the same condition.

Other Cedars-Sinai Medical Center trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05923684.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing