# Algorithm-informed Decision-making to Advance Pain Treatment

> **NCT07731750** · NA · RECRUITING · sponsor: **University of Michigan** · enrollment: 500 (estimated)

## Conditions studied

- Chronic Low-back Pain

## Interventions

- **DEVICE:** Algorithmically informed randomization (taking into account phenotypes)
- **BEHAVIORAL:** Physical Therapy (PT) and Exercise
- **BEHAVIORAL:** Cognitive-Behavioral Therapy for Pain (PRISM-CBT)
- **BEHAVIORAL:** mHealth Acupressure Self-Management:
- **DRUG:** Duloxetine

## Key facts

- **NCT ID:** NCT07731750
- **Lead sponsor:** University of Michigan
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2026-07-23
- **Primary completion:** 2030-02
- **Final completion:** 2030-07
- **Target enrollment:** 500 (ESTIMATED)
- **Last updated:** 2026-09-15

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07731750

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07731750, "Algorithm-informed Decision-making to Advance Pain Treatment". Retrieved via MORVS 2026-10-21 from https://api.morvs.ai/clinical/NCT07731750. Licensed CC0.

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