Clinical trial · Interventional
NLP-Based Feedback to Improve Risk Comms and Informed Shared Decision Making
Natural Language Processing-Based Feedback to Improve Physician Risk Communication and Informed Shared Decision Making in Men With Clinically Localized Prostate Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| NLP-based Feedback | Behavioral | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- NLP Intervention Experimental Arm
- description
- 20 men with newly diagnosed clinically localized prostate cancers and utilize NLP to extract key content using the top five sentences by NLP probability for key content areas will be generated and will be provided to patients and providers within 2 weeks after each case.
- interventionNames
- Behavioral: NLP-based Feedback
Primary outcomes (6)
- measure
- Change in Decisional Conflict Scale Scores before and after intervention (patient-level outcome)
- timeFrame
- Measured directly after treatment consultation and after NLP-based feedback given to patients within 2 weeks of consultation
- description
- The investigators will employ the validated Decisional Conflict Scale (DCS), to estimate uncertainty associated with treatment choice. Effect sizes of 0.3 to 0.4 are considered meaningful. Variability (standard deviation) in DCS scores before and after receiving NLP-based feedback will be assessed and used in planning a larger trial.
Eligibility
Eligibility (as posted)
- Sex
- Male
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Men undergoing initial treatment consultation for clinically localized prostate cancer; 2. Men with upgraded prostate cancer on active surveillance considering conversion to definitive local therapy. 3. Cedars-Sinai patient. 4. Ability to read and write in English. Exclusion Criteria: 1. Under 18 years of age; 2. Subjects with difficulty communicating or dementia; 3. Non-English speakers, given that our NLP-based tools cannot be used with languages other than English; 4. Men with locally advanced or metastatic prostate cancer; 5. Men who have already been treated for clinically localized prostate cancer
References
Publications (0)
Data not yet available