Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Palliative Cancer Patients | Stage IV cancer patients evaluated for palliative radiotherapy. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| palliative radiotherapy | Radiation | Radiotherapy for palliating symptoms in stage IV cancer patients |
|
| Measure | Description | Time Frame |
|---|---|---|
| Overall Survival | Overall Survival in the studied population | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Overall Survival by Survival Prediction Model (NRF) |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Stage IV cancer patients evaluated for palliative radiotherapy in Tuen Mun Hospital
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Shing Fung Lee, MBBS (HK), FRCR (UK) | Contact | 852 2468 5087 | leesfm@ha.org.hk |
| Name | Affiliation | Role |
|---|---|---|
| Shing Fung Lee, MBBS (HK), FRCR (UK) | Department of Clinical Oncology, New Territory West Cluster, Hospital Authority, Hong Kong | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Clinical Oncology, Tuen Mun Hospital, Tuen Mun | Recruiting | Hong Kong | Hong Kong |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 11527298 | Background | 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. | |
| 10678857 | Background |
Not provided
Not provided
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.
After publication.
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D009369 | Neoplasms |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Overall Survival by Survival Prediction Score using Number of Risk Factors (NRF) |
| 3, 6, 9, 12 months |
| Overall Survival by Survival Prediction Model (TEACHH) | Overall Survival by Survival Prediction Score using TEACHH Model | 3, 6, 9, 12 months |
| 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. |
| 20564632 | Background | 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. |
| 19018082 | Background | 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. |
| 21263086 | Background | 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. |
| 29147245 | Background | 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. |
| 24122413 | Background | 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. |