Netherlands Quality of Life and Biomedical Cohort Studies_Head and Neck Cancer

Netherlands Quality of Life and Biomedical Cohort Studies_Head and Neck Cancer - NET-QUBIC_HNC

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON50452

Enrollment

1478

Registered

2013-11-26

Start date

2014-03-17

Completion date

Unknown

Last updated

2024-04-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

head and neck cancer head and neck neoplasm

Interventions

None listed

Eligibility

Age

18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Newly diagnosed head and neck cancer patients

Exclusion criteria

Exclusion criteria: malignancies of the salivary glands, nasopharyngeal malignancies, lymphoma, skin malignancies, thyroid cancer; patients unable to understand the questions or test instructions; no informed consent and severe psychiatric co-morbidities

Design outcomes

Primary

Measure	Time frame
1) To describe the long term course of QoL from diagnosis to 5 years follow-up or death in newly-diagnosed HNC patients and their caregivers and to identify cancer-related, personal, genetic, biological, psychobehavioural, physical, lifestyle-related, and social determinants of QoL.	—

Secondary

Measure	Time frame
2) To determine the association between QoL and survival adjusted for relevant cancer-related, personal, genetic, biological, psychobehavioural, lifestyle-related, and social factors. 3) To build predictive models for long term QoL and survival of cancer patients. 4) To prospectively examine patients* and their caregivers' supportive care needs in all phases of the disease and the association with the long-term course of QoL. 5) To establish a large QoL database and biobank of tissue specimen, DNA, RNA, serum plasma, saliva and oral rinse, with integrated clinical information.	—

Measure

Time frame

2) To determine the association between QoL and survival adjusted for relevant cancer-related, personal, genetic, biological, psychobehavioural, lifestyle-related, and social factors. 3) To build predictive models for long term QoL and survival of cancer patients. 4) To prospectively examine patients* and their caregivers' supportive care needs in all phases of the disease and the association with the long-term course of QoL. 5) To establish a large QoL database and biobank of tissue specimen, DNA, RNA, serum plasma, saliva and oral rinse, with integrated clinical information.

—

Countries

Netherlands

Outcome results