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AI-Assisted Remote Monitoring for Patients With or at Risk of Malignant Bowel Obstruction

6 de noviembre de 2026 actualizado por: Hospital Universitario 12 de Octubre

A Pragmatic Phase II Randomized Clinical Trial of Remote Monitoring for Patients With or at Risk of Malignant Bowel Obstruction (MBO)

The goal of this clinical trial is to learn whether artificial intelligence (AI)-assisted remote symptom monitoring can reduce hospital admissions related to malignant bowel obstruction (MBO) in patients with advanced cancer who have MBO or are at risk of developing MBO.

The main questions it aims to answer are:

  • Does AI-assisted remote symptom monitoring reduce the proportion of patients who experience at least one hospital admission due to MBO within 90 days?
  • Does AI-assisted remote symptom monitoring improve patient-reported outcomes, quality of life, healthcare resource utilization, and survival outcomes compared with standard care? Researchers will compare AI-assisted remote symptom monitoring plus standard care with standard care alone to determine whether remote monitoring can reduce MBO-related hospital admissions and improve patient outcomes.

Participants will receive study-specific assessments and follow-up for at least 90 days. Participants in the monitoring group will receive regular automated symptom-monitoring calls, and optional stool samples may be collected for microbiome research

Descripción general del estudio

Descripción detallada

This is a prospective, pragmatic, randomized phase II clinical trial evaluating AI-assisted remote symptom monitoring in patients with advanced cancer who have MBO managed in the outpatient setting or are at risk of developing MBO. All participants will receive standard clinical management according to local standard of care, as well as educational materials regarding MBO, symptoms requiring medical attention, symptom management recommendations, and dietary advice.

Eligible participants will be identified using the Princess Margaret Malignant Bowel Obstruction (PMMBO) risk stratification system. Patients classified as yellow (at risk of MBO) or orange (outpatient MBO) will be eligible for the study. Participants who meet the eligibility criteria will be randomized in a 1:1 ratio to either the AI-assisted remote monitoring arm or the standard-of-care arm. Randomization will be stratified by previous MBO-related hospital admission (yes/no), baseline PMMBO risk category (yellow/orange), and study site.

This study consists of two study arms:

  • Standard-of-Care Arm: Participants randomized to this arm will receive routine clinical follow-up and management according to local institutional practice.
  • AI-Assisted Remote Monitoring Arm: Participants randomized to this arm will receive standard care plus remote symptom monitoring through an AI-based conversational platform. The platform will perform structured symptom assessments through automated telephone calls using a predefined questionnaire focused on MBO-related symptoms. Monitoring will be performed at least once per week and may be increased according to patient symptoms and clinical needs. Participant responses will be assessed in real time and predefined alerts will be displayed through a nursing dashboard, allowing healthcare professionals to review symptoms and initiate clinical interventions when considered necessary.

A total of 140 participants will be enrolled and randomized, with 70 participants assigned to each study arm. Participants will undergo baseline and follow-up assessments according to the study schedule and will be followed for at least 90 days after randomization. Monitoring in the intervention arm may continue beyond Day 90, if clinically indicated, for a maximum duration of 12 months.

The estimated recruitment period is 24 months

Tipo de estudio

Intervencionista

Inscripción (Estimado)

140

Fase

  • No aplica

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

Copia de seguridad de contactos de estudio

Ubicaciones de estudio

      • Madrid, España, 28041
        • Hospital Universitario 12 de Octubre
    • Madrid
      • Majadahonda, Madrid, España, 28041
        • Hospital Universitario Puerta del Hierro

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

18 años y mayores (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

No

Géneros elegibles para el estudio

Todos

Descripción

Inclusion Criteria:

  • Histologically and/or cytologically confirmed diagnosis of advanced malignancy.
  • Considered to be at risk of developing MBO, defined as PMMBO yellow classification, or presenting a clinical diagnosis of MBO, characterized by clinical evidence of bowel obstruction (based on medical history, physical examination, and/or radiological assessment) distal to the ligament of Treitz, and deemed suitable for ambulatory management.
  • Receiving active oncologic therapy at the time of enrollment.
  • Able to understand and communicate effectively in Spanish.

Exclusion Criteria:

  • Inability to understand and communicate in Spanish.

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Cuidados de apoyo
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Ninguno (etiqueta abierta)

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
Experimental: AI- Assisted Remote Monitoring + Standard Care

AI-Assisted Remote Symptom Monitoring An artificial intelligence-based conversational platform used to remotely assess symptoms associated with malignant bowel obstruction through automated telephone calls

An artificial intelligence-based conversational platform used to remotely assess symptoms associated with malignant bowel obstruction through automated telephone calls. Patient responses generate predefined alerts that can be reviewed by healthcare professionals to support clinical management.

Otro: Standard Care

Routine clinical management and follow-up

Participants will receive routine clinical management and follow-up according to local standard-of-care practices.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
MBO-related hospital admissions
Periodo de tiempo: Within 90 days after randomization

Proportion of participants experiencing at least one hospital admission due to malignant bowel obstruction (MBO)

Within 90 days after randomization

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Overall survival
Periodo de tiempo: Up to 12 months after randomization

Overall survival measured from active MBO development to death from any cause

Up to 12 months after randomization
Change in quality of life
Periodo de tiempo: Baseline and Day 90 (±14 days)

Change from baseline in quality of life assessed using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) questionnaire and gastrointestinal symptom subscale. The EORTC QLQ-C30 is a validated questionnaire used to assess health-related quality of life in patients with cancer. Scores range from 0 to 100. Higher scores on functional and global health status scales indicate better functioning and quality of life, whereas higher scores on symptom scales indicate greater symptom burden.

The gastrointestinal symptom subscale evaluates the severity and frequency of gastrointestinal symptoms associated with malignant bowel obstruction. Higher scores indicate greater symptom burden and worsening gastrointestinal symptoms.

Baseline and Day 90 (±14 days)
Emergency department assessments due to MBO
Periodo de tiempo: Within 90 days after randomization

Number of emergency department assessments related to MBO

Within 90 days after randomization
Time to first MBO-related hospital admission
Periodo de tiempo: Within 90 days after randomization

Time from randomization to first hospital admission due to MBO

Within 90 days after randomization
Length of hospital stay due to MBO
Periodo de tiempo: Within 90 days after randomization

Duration of hospital stays related to MBO in days

Within 90 days after randomization
Days alive and out of hospital
Periodo de tiempo: Within 90 days after randomization

Ratio of days alive and out of hospital to days spent in hospital

Within 90 days after randomization

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Investigadores

  • Investigador principal: Ainhoa Madariaga Urrutia, Hospital Universitario 12 de Octubre
  • Investigador principal: Constanza Maximiano, Dra, Puerta de Hierro University Hospital

Publicaciones y enlaces útiles

La persona responsable de ingresar información sobre el estudio proporciona voluntariamente estas publicaciones. Estos pueden ser sobre cualquier cosa relacionada con el estudio.

Publicaciones Generales

  • Madariaga A, Tuñon I, Sánchez-Castro S, et al: Automated conversational artificial intelligence (AI) for outpatient malignant bowel obstruction (MBO) symptom monitoring. Journal of Clinical Oncology 43:1547-1547, 2025

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

1 de noviembre de 2026

Finalización primaria (Estimado)

1 de febrero de 2029

Finalización del estudio (Estimado)

1 de noviembre de 2029

Fechas de registro del estudio

Enviado por primera vez

6 de noviembre de 2026

Primero enviado que cumplió con los criterios de control de calidad

6 de noviembre de 2026

Publicado por primera vez (Actual)

12 de noviembre de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

12 de noviembre de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

6 de noviembre de 2026

Última verificación

1 de noviembre de 2026

Más información

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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