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Expert Consensus and Artificial Intelligence in Medical Decision Making in Patients with Malignant Brain Tumors
NCT06649591 · View on ClinicalTrials.gov ↗
Study Summary
Nearly 23,000 adults are diagnosed with primary central nervous system (CNS) malignancy yearly. An additional 200,000 adults are diagnosed with brain metastasis. There are significant variations in CNS tumor treatment. However, due to significant heterogeneity in patient baseline factors, identifying unwarranted variation is challenging. Ghogawala et al have previously demonstrated that, among patients undergoing surgical treatment of cervical myelopathy and lumbar degenerative spinal disease, an expert panel consisting of surgeon experts can identify variations in proposed surgical procedure and demonstrated superior patient outcomes when the surgery performed matched the procedure recommended by expert consensus. Expert panel surveys have not previously been used to identify variations in care among patients with CNS malignancy. The primary aim is to determine whether patient outcomes are superior when treatment aligns with recommendations made by a clinical expert neurosurgical panel. The study also seek to identify patient factors that predispose to variability in care. Our long-term aim is to determine whether predictive artificial learning algorithms can achieve the same outcomes, or better, as clinical expert panels, but with greater efficiency and greater capacity to be available for more patients. The investigators hypothesize that: * When a team of 10 medical experts has greater than 80% consensus regarding optimal treatment and when the doctor and patient select that specific treatment, the outcome is superior than when a patient and doctor select an alternative procedure. * When a team of 10 medical experts has greater than 80% consensus regarding optimal treatment, the structured data used by the experts can be processed and trained by computing algorithms to predict the pattern recognized by the experts - i.e. - the computer can predict how an expert panel would vote. Procedures include the following: 1. Chart review portion of study: Patients will
Conditions Studied
Interventions
- BEHAVIORAL Survey
Study Locations (1)
Massachusetts
- Tufts Medical Center — Boston
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 225 participants |
| Start Date | 2017-07-01 |
| Est. Completion | 2025-12 |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT06649591
The ClinicalTrials.gov registry entry for NCT06649591 describes a study currently listed as active not recruiting. It is categorized as an unspecified phase, which is the standard way researchers label where a study sits along the investigational pathway from early safety work through later efficacy and post-marketing evaluation. The registered enrollment target is 225 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Tufts Medical Center, which has 132 total studies on file at ClinicalTrials.gov, and sponsors are the parties responsible for study design, oversight, and regulatory filings.
The record links to 1 condition, with Malignant Brain Tumors appearing as the primary indexed condition, and to 1 intervention — of which Survey is the first listed. Interventions can include drugs, devices, procedures, behavioral programs, or observational arms, and each is tracked as a separate registry field so that downstream queries can filter accurately. When a trial lists multiple interventions, it usually reflects a multi-arm design or a comparison protocol rather than a single treatment being tested in isolation. The brief summary published in the registry is the clearest source of protocol intent and should be read before drawing conclusions from any sidebar tags.
Geographic footprint matters for practical reasons: NCT06649591 reports 1 study location spanning 1 distinct geographic area — top geographies include Massachusetts. A larger site network tends to correlate with broader recruitment capacity, but it does not imply anything about study quality, and site-level enrollment status can diverge from the overall registry status shown above. Every data point on this page comes from the public ClinicalTrials.gov dataset and is reproduced here for reference only; it is not a medical recommendation, an endorsement of the sponsor, or an invitation to enroll. Verify current status, eligibility criteria, and contact details directly at ClinicalTrials.gov, and discuss any participation decision with your own healthcare provider.
Frequently Asked Questions
What is clinical trial NCT06649591 about?
NCT06649591 is a clinical study titled "Expert Consensus and Artificial Intelligence in Medical Decision Making in Patients with Malignant Brain Tumors". Nearly 23,000 adults are diagnosed with primary central nervous system (CNS) malignancy yearly. An additional 200,000 adults are diagnosed with brain metastasis. There are significant variations in CNS tumor treatment. However, due to significant heterogeneity in patient baseline factors, identifyin...
What is the current status of trial NCT06649591?
This trial is currently active not recruiting. The enrollment target is 225 participants. The study started on 2017-07-01. Estimated completion is 2025-12.
What conditions does trial NCT06649591 study?
This clinical trial studies the following conditions: Malignant Brain Tumors. These conditions were identified from the trial registry and reflect the primary focus areas of the research.
What interventions are being tested in trial NCT06649591?
The interventions under investigation include: Survey (BEHAVIORAL). Each intervention is being evaluated for safety and efficacy as part of this clinical study.
Who is sponsoring clinical trial NCT06649591?
This trial is sponsored by Tufts Medical Center, which has 132 total clinical trials registered on ClinicalTrials.gov. The sponsor is responsible for the study's design, funding, and regulatory compliance.
Where is trial NCT06649591 being conducted?
This trial has 1 study location across Massachusetts. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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