Cancer Clinical Trial
— PROPEROfficial title:
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.
Status | Recruiting |
Enrollment | 450 |
Est. completion date | December 31, 2019 |
Est. primary completion date | December 31, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
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. |
Country | Name | City | State |
---|---|---|---|
Hong Kong | Department of Clinical Oncology, Tuen Mun Hospital, Tuen Mun | Hong Kong |
Lead Sponsor | Collaborator |
---|---|
Tuen Mun Hospital |
Hong Kong,
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. — View Citation
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. Review. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Overall Survival | Overall Survival in the studied population | 1 year | |
Secondary | Overall Survival in Each Indication of Palliative Radiotherapy | 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 | |
Secondary | Overall Survival by Survival Prediction Model (NRF) | Overall Survival by Survival Prediction Score using Number of Risk Factors (NRF) | 3, 6, 9, 12 months | |
Secondary | Overall Survival by Survival Prediction Model (TEACHH) | Overall Survival by Survival Prediction Score using TEACHH Model | 3, 6, 9, 12 months |
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