Tumor Genomics, Individual Risk Factors, and External Drivers of Health on Health Outcomes for Patients With Meningioma

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUniversity of California, San Francisco

About this trial

Meningiomas are the most common primary brain tumor, and some groups are diagnosed with higher-grade tumors and have clinically worse outcomes. This study investigates social determinants of health and individual risk factors that may be associated with meningioma.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Adults ≥18 years of age

Able to speak and read English

Diagnosed with a meningioma

Disqualifiers

Active psychiatric issues (suicidality, active psychosis, grave disability, etc.)

Inability to consent secondary to severe neurologic deficit or psychiatric distress

Inability to complete survey secondary to severe neurologic deficit or psychiatric distress

Trial population

Adult participants receiving care at the University of California, San Francisco who have been diagnosed with meningioma.

Trial design

Design model

Case-only

Time perspective

Cross-sectional

Treatments tested in this trial

  • Questionnaire

    Behavioral

    A questionnaire will be administered in person or online

  • Medical Record Review

    Other intervention

    Medical records will be reviewed for study specific data collection

Treatment groups

3,000 Participants
are divided into 1 treatment group
Group A: Participants with Meningioma2 interventions

Trial outcomes

Primary outcomes

1

Identifying potential social and structural determinants of health (SSDH)

The prevalence of SSDH factors such as race and ethnicity, birthplace, relationship status, sexual orientation/gender identity, education level, socio-economic status, access to care, reproductive/menstrual history, health factors and medication use, chemical and radiation exposure, smoking history, and perceived stress for participants with meningioma will be analyzed using multilevel logistic and linear models accounting for geographical clustering.

Time frame
Up to 5 years
2

Distribution of social and structural determinants of health

The distribution of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering.

Time frame
Up to 5 years
3

Identify disparities in social and structural determinants of health (SSDH)

Disparities of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering.

Time frame
Up to 5 years

Secondary outcomes

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University of California, San Francisco

Lead sponsor

National Cancer Institute (NCI)

Collaborator