Systematic Review of Algorithm-Guided Depression Treatment Trials

Seven randomized controlled trials with over 3,500 participants compare algorithm-guided treatment to treatment as usual for major depressive disorder. The review, conducted per PRISMA 2020 guidelines, synthesizes evidence on outcomes like remission rates and time to remission. It was authored by Deni Rkman and published in March 2026.

Use Cases

• Compare remission rates between algorithm-guided treatment and treatment as usual arms across the seven included trials.
• Analyze the relationship between trial duration and reported outcomes like time to remission or treatment adherence.
• Synthesize evidence on intervention efficacy for specific subpopulations, such as patients with comorbidities, as noted in the results.

Strengths

• Synthesizes data from over 3,500 participants across seven randomized controlled trials.
• Follows a structured methodology based on PRISMA 2020 guidelines for systematic reviews.
• Focuses on a clinically significant comparison between two distinct treatment strategies for major depressive disorder.

Limitations

• The underlying data is a qualitative synthesis in a document format (DOCX), not a structured, machine-readable table for direct analysis.
• Scope is limited to the seven trials meeting the review's inclusion criteria up to June 2025.
• Sample data and specific columnar data from the original trials are unavailable for secondary statistical modeling.

Provenance

Source

Systematic review authored by Deni Rkman, sourced from figshare.

Collection Method

Literature review of randomized controlled trials from PubMed, Scopus, Embase, PsychInfo, and Cochrane Library.

Time Range

Literature search covered studies up to June 2025.

Freshness

Last updated March 2026, with literature search current up to June 2025.