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

6 november 2026 bijgewerkt door: 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

Studie Overzicht

Toestand

Nog niet aan het werven

Conditie

Interventie / Behandeling

Gedetailleerde beschrijving

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

Studietype

Ingrijpend

Inschrijving (Geschat)

140

Fase

  • Niet toepasbaar

Contacten en locaties

In dit gedeelte vindt u de contactgegevens van degenen die het onderzoek uitvoeren en informatie over waar dit onderzoek wordt uitgevoerd.

Studiecontact

Studie Contact Back-up

Studie Locaties

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

Deelname Criteria

Onderzoekers zoeken naar mensen die aan een bepaalde beschrijving voldoen, de zogenaamde geschiktheidscriteria. Enkele voorbeelden van deze criteria zijn iemands algemene gezondheidstoestand of eerdere behandelingen.

Geschiktheidscriteria

Leeftijden die in aanmerking komen voor studie

18 jaar en ouder (Volwassen, Oudere volwassene)

Accepteert gezonde vrijwilligers

Nee

Geslachten die in aanmerking komen voor studie

Allemaal

Beschrijving

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.

Studie plan

Dit gedeelte bevat details van het studieplan, inclusief hoe de studie is opgezet en wat de studie meet.

Hoe is de studie opgezet?

Ontwerpdetails

  • Primair doel: Ondersteunende zorg
  • Toewijzing: Gerandomiseerd
  • Interventioneel model: Parallelle opdracht
  • Masker: Geen (open label)

Wapens en interventies

Deelnemersgroep / Arm
Interventie / Behandeling
Experimenteel: 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
Apparaat: 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. Patient responses generate predefined alerts that can be reviewed by healthcare professionals to support clinical management.
Ander: Standard Care

Routine clinical management and follow-up
Ander: Standard of Care

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

Wat meet het onderzoek?

Primaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
MBO-related hospital admissions
Tijdsspanne: 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

Secundaire uitkomstmaten

Uitkomstmaat
Maatregel Beschrijving
Tijdsspanne
Overall survival
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: 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
Tijdsspanne: Within 90 days after randomization

Ratio of days alive and out of hospital to days spent in hospital
Within 90 days after randomization

Medewerkers en onderzoekers

Hier vindt u mensen en organisaties die betrokken zijn bij dit onderzoek.

Sponsor

Hospital Universitario 12 de Octubre

Onderzoekers

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

Publicaties en nuttige links

De persoon die verantwoordelijk is voor het invoeren van informatie over het onderzoek stelt deze publicaties vrijwillig ter beschikking. Dit kan gaan over alles wat met het onderzoek te maken heeft.

Algemene publicaties

  • 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

Studie record data

Deze datums volgen de voortgang van het onderzoeksdossier en de samenvatting van de ingediende resultaten bij ClinicalTrials.gov. Studieverslagen en gerapporteerde resultaten worden beoordeeld door de National Library of Medicine (NLM) om er zeker van te zijn dat ze voldoen aan specifieke kwaliteitscontrolenormen voordat ze op de openbare website worden geplaatst.

Bestudeer belangrijke data

Studie start (Geschat)

1 november 2026

Primaire voltooiing (Geschat)

1 februari 2029

Studie voltooiing (Geschat)

1 november 2029

Studieregistratiedata

Eerst ingediend

6 november 2026

Eerst ingediend dat voldeed aan de QC-criteria

6 november 2026

Eerst geplaatst (Werkelijk)

12 november 2026

Updates van studierecords

Laatste update geplaatst (Werkelijk)

12 november 2026

Laatste update ingediend die voldeed aan QC-criteria

6 november 2026

Laatst geverifieerd

1 november 2026

Meer informatie

Termen gerelateerd aan deze studie

Trefwoorden

Aanvullende relevante MeSH-voorwaarden

Andere studie-ID-nummers

  • SMART-MBO

Plan Individuele Deelnemersgegevens (IPD)

Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?

NEE

Informatie over medicijnen en apparaten, studiedocumenten

Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel

Nee

Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct

Nee

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