Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea
Incheon, 21431, South Korea
Location status: Recruiting
NCT Number: NCT07198581
This two-stage adaptive randomized controlled trial evaluates the feasibility and preliminary efficacy of large language model (LLM)-assisted intervention for managing chemotherapy side effects in patients with solid tumors. Adults with histologically confirmed breast or colorectal cancer scheduled for at least 3 months of systemic chemotherapy will be randomly assigned (1:1) to receive either LLM-assisted care or standard care.
The study employs an adaptive design with initial enrollment of 60 patients (30 per arm), followed by interim analysis. Unless enrollment is stopped for safety reasons identified at interim analysis, an additional 114 patients will be enrolled for a maximum total of 174 patients (87 per arm).
In the intervention group, healthcare providers input anonymized patient symptom data into an LLM system using sessions where data is not retained, which generates evidence-based management recommendations. Physicians critically review these recommendations and use them as reference for clinical decision-making, with final treatment decisions remaining under physician discretion. The control group receives standard supportive care without LLM assistance.
The primary outcome is change in health-related quality of life measured by EORTC QLQ-C30 global health status/QoL scale from baseline to end of treatment. Secondary outcomes include proportion achieving clinically meaningful improvement (≥8-point increase), treatment adherence, dose intensity, healthcare resource utilization, and physician acceptance of LLM recommendations.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Incheon, 21431, South Korea
Location status: Recruiting
Chemotherapy-induced side effects affect patient quality of life and treatment outcomes. Studies indicate 86% of patients receiving chemotherapy experience at least one side effect, with 30% reporting moderate to severe symptoms. Common adverse effects including nausea, vomiting, fatigue, anorexia, pain, diarrhea, constipation, mucositis, and peripheral neuropathy lead to dose reductions, treatment delays, or discontinuation.
Care gaps persist despite advances in supportive care due to clinician time constraints and variable attention to specific side effects. Digital health interventions have demonstrated improved quality of life, reduced emergency department visits, and enhanced survival in cancer patients. A 2025 umbrella review reported positive effects of digital health interventions on multiple mental health indicators in cancer patients.
LLMs offer natural language processing and medical knowledge bases. Clinical application remains limited, with only 5% of LLM healthcare studies involving actual patient care according to recent systematic reviews. Reliability concerns and hallucination require physician oversight. While healthcare providers manage life-threatening chemotherapy toxicities effectively, less attention may be given to symptoms that impact quality of life without immediate life-threatening consequences.
This adaptive randomized controlled trial employs a two-stage design. Stage 1 enrolls 60 patients (30 per arm) with breast or colorectal cancer without malignancy-related symptoms at baseline. Stratification occurs by cancer type. The intervention involves healthcare providers collecting patient symptoms during clinic visits, excluding information that could identify patients, anonymizing information according to standardized prompts, and inputting data into the LLM system via temporary chat sessions where no records are retained. The LLM generates symptom analysis and management recommendations. Physicians review recommendations and adjust treatment plans accordingly, with all final decisions remaining under physician responsibility.
Interim analysis after 60 patients are enrolled evaluates safety, feasibility, and efficacy. Safety assessment includes stopping for serious LLM-related issues. Interim analysis after 60 patients are enrolled evaluates safety and feasibility. Safety assessment includes stopping for serious LLM-related adverse events. Feasibility assessment examines LLM system usage rate and physician satisfaction. No formal efficacy stopping rule is applied; therefore, no alpha adjustment is required for the final analysis. Based on interim results, up to 114 additional patients may be enrolled for a maximum total of 174 participants.
The primary analysis uses linear mixed-effects models adjusting for baseline scores and stratification factors. A clinically meaningful difference of 8 points on the EORTC QLQ-C30 scale with standard deviation of 20 points provides >85% power at the final sample size. Secondary analyses include logistic regression for clinically meaningful improvement rates, appropriate statistical tests for adherence and toxicity outcomes, and Poisson/negative binomial regression for healthcare utilization.
This study aims to evaluate whether LLM-assisted intervention improves patient outcomes and healthcare resource utilization in oncology practice, providing evidence for the clinical application of LLMs as decision support tools in patient care.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Healthcare providers collect patient symptoms during clinic visits, anonymize the information, and input it into the LLM system via temporary chat sessions. The LLM generates management recommendations which physicians review and consider when adjusting treatment plans. Healthcare providers anonymize patient information and input into LLM using temporary chat sessions. LLM recommendations serve as reference only, with physicians making all final clinical decisions.
Time frame: Baseline, mid-treatment, end of treatment, 3 months post-treatment (up to 9 months)
Change in health-related quality of life measured by EORTC QLQ-C30 global health status/QoL scale (range 0-100, higher scores indicate better outcomes; less decline indicates better outcomes)
Time frame: Baseline, mid-treatment, end of treatment, 3 months post-treatment (up to 9 months)
Time frame: Throughout chemotherapy treatment period (approximately 3-6 months)
Time frame: Throughout chemotherapy treatment period (approximately 3-6 months)
Time frame: Throughout chemotherapy treatment period (approximately 3-6 months)
Time frame: From baseline through 3 months after treatment completion (up to 9 months)
Time frame: Monthly during treatment and at end of treatment, up to 6 months
Mean physician usefulness score for LLM recommendations assessed by physician evaluation survey (1-5 point scale) (intervention arm only)
Contact information is provided by the study sponsor or research team.
Incheon St.Mary's Hospital
Other
A Randomized Controlled Trial of AI-Assisted Chemotherapy Side Effect Management in Solid Tumor Patients
Acronym: ALLIANCE
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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