- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03797755
Prognosis of Patient Evaluated for Palliative Radiotherapy (PROPER)
Prospective Observational Study of the Prognosis of Patients Having Palliative Radiotherapy
Many patients with incurable cancer will receive palliative oncological treatment before their death, and radiotherapy (RT) is an important element of this. The aim of palliative RT is to alleviate symptoms and improve quality of life. An accurate and practical survival prediction model for metastatic cancer patient receiving palliative RT can assist the decision making (ranging from best supportive treatment alone for expected short survival, to dose escalation for potential better disease control).
The available survival prediction models (such Survival Prediction Score using Number of Risk Factors by Chow et al and TEACHH model) have been developed in the Western world. We therefore perform a prospective observational study 1) to assess the overall survival of patients evaluated for palliative RT at a tertiary hospital in Hong Kong, and 2) to validate the prognostic score systems in our population.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
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Hong Kong, Hong Kong
- Recruiting
- Department of Clinical Oncology, Tuen Mun Hospital, Tuen Mun
-
Contact:
- Shing Fung Lee, MBBS (HK), FRCR (UK)
- Phone Number: 852 2468 5087
- Email: leesfm@ha.org.hk
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- All adult patients with stage IV cancer who are referred for palliative RT in Tuen Mun Hospital, including both inpatients and outpatients.
Exclusion Criteria:
- Patients who have received palliative RT before (i.e. not the first course palliative RT), have non-metastatic disease, are misclassified as palliative patients.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Palliative Cancer Patients
Stage IV cancer patients evaluated for palliative radiotherapy.
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Radiotherapy for palliating symptoms in stage IV cancer patients
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall Survival
Time Frame: 1 year
|
Overall Survival in the studied population
|
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall Survival in Each Indication of Palliative Radiotherapy
Time Frame: 3, 6, 9, 12 months
|
Indications of Palliative Radiotherapy: The indication will be as follow: spinal cord compression brain metastases tumor bleeding tumoral mass Cancer pain Superior Vena Cava Syndrome/ Airway compression |
3, 6, 9, 12 months
|
|
Overall Survival by Survival Prediction Model (NRF)
Time Frame: 3, 6, 9, 12 months
|
Overall Survival by Survival Prediction Score using Number of Risk Factors (NRF)
|
3, 6, 9, 12 months
|
|
Overall Survival by Survival Prediction Model (TEACHH)
Time Frame: 3, 6, 9, 12 months
|
Overall Survival by Survival Prediction Score using TEACHH Model
|
3, 6, 9, 12 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Shing Fung Lee, MBBS (HK), FRCR (UK), Department of Clinical Oncology, New Territory West Cluster, Hospital Authority, Hong Kong
Publications and helpful links
General Publications
- Chow E, Abdolell M, Panzarella T, Harris K, Bezjak A, Warde P, Tannock I. Predictive model for survival in patients with advanced cancer. J Clin Oncol. 2008 Dec 20;26(36):5863-9. doi: 10.1200/JCO.2008.17.1363. Epub 2008 Nov 17.
- Krishnan MS, Epstein-Peterson Z, Chen YH, Tseng YD, Wright AA, Temel JS, Catalano P, Balboni TA. Predicting life expectancy in patients with metastatic cancer receiving palliative radiotherapy: the TEACHH model. Cancer. 2014 Jan 1;120(1):134-41. doi: 10.1002/cncr.28408. Epub 2013 Oct 2. Erratum In: Cancer. 2019 Jul 1;125(13):2325.
- Peppercorn JM, Smith TJ, Helft PR, Debono DJ, Berry SR, Wollins DS, Hayes DM, Von Roenn JH, Schnipper LE; American Society of Clinical Oncology. American society of clinical oncology statement: toward individualized care for patients with advanced cancer. J Clin Oncol. 2011 Feb 20;29(6):755-60. doi: 10.1200/JCO.2010.33.1744. Epub 2011 Jan 24.
- Chow E, Harth T, Hruby G, Finkelstein J, Wu J, Danjoux C. How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. Clin Oncol (R Coll Radiol). 2001;13(3):209-18. doi: 10.1053/clon.2001.9256.
- Christakis NA, Lamont EB. Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study. BMJ. 2000 Feb 19;320(7233):469-72. doi: 10.1136/bmj.320.7233.469.
- Gripp S, Mjartan S, Boelke E, Willers R. Palliative radiotherapy tailored to life expectancy in end-stage cancer patients: reality or myth? Cancer. 2010 Jul 1;116(13):3251-6. doi: 10.1002/cncr.25112.
- Chow E, James JL, Hartsell W, Scarantino CW, Ivker R, Roach M III, Suh JH, Demas W, Konski A, Bruner DW. Validation of a Predictive Model for Survival in Patients With Advanced Cancer: Secondary Analysis of RTOG 9714. World J Oncol. 2011 Aug;2(4):181-190. doi: 10.4021/wjon325w. Epub 2011 Aug 24.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- NTWC_Onc_2019
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Demographic data, and the information required for the prognostic scores will be extracted (e.g. presence of liver metastasis). Also data on the date of birth and death, sex, primary cancer. Data on the primary site of disease were coded using International Classification of Disease version 9.
Personal identifier will be deleted to protect patient confidentiality.
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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