Meta-analysis of survival prediction with Palliative Performance Scale
This paper aims to reconcile the use of Palliative Performance Scale (PPSv2) for survival prediction in palliative care through an international collaborative study by five research groups. The study involves an individual patient data meta-analysis on 1,808 patients from four original datasets to r...
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| Veröffentlicht in: | Journal of palliative care 2007, Vol.23 (4), p.245-254 |
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| container_issue | 4 |
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| container_title | Journal of palliative care |
| container_volume | 23 |
| creator | Downing, Michael Lau, Francis Lesperance, Mary Karlson, Nicholas Shaw, Jack Kuziemsky, Craig Bernard, Steve Hanson, Laura Olajide, Lola Head, Barbara Ritchie, Christine Harrold, Joan Casarett, David |
| description | This paper aims to reconcile the use of Palliative Performance Scale (PPSv2) for survival prediction in palliative care through an international collaborative study by five research groups. The study involves an individual patient data meta-analysis on 1,808 patients from four original datasets to reanalyze their survival patterns by age, gender, cancer status, and initial PPS score. Our findings reveal a strong association between PPS and survival across the four datasets. The Kaplan-Meier survival curves show each PPS level as distinct, with a strong ordering effect in which higher PPS levels are associated with increased length of survival. Using a stratified Cox proportional hazard model to adjust for study differences, we found females lived significantly longer than males, with a further decrease in hazard for females not diagnosed with cancer. Further work is needed to refine the reporting of survival times/probabilities and to improve prediction accuracy with the inclusion of other variables in the models. |
| doi_str_mv | 10.1177/082585970702300402 |
| format | Article |
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The study involves an individual patient data meta-analysis on 1,808 patients from four original datasets to reanalyze their survival patterns by age, gender, cancer status, and initial PPS score. Our findings reveal a strong association between PPS and survival across the four datasets. The Kaplan-Meier survival curves show each PPS level as distinct, with a strong ordering effect in which higher PPS levels are associated with increased length of survival. Using a stratified Cox proportional hazard model to adjust for study differences, we found females lived significantly longer than males, with a further decrease in hazard for females not diagnosed with cancer. Further work is needed to refine the reporting of survival times/probabilities and to improve prediction accuracy with the inclusion of other variables in the models.</description><subject>Age Distribution</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Canada - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Japan - epidemiology</subject><subject>Kaplan-Meier Estimate</subject><subject>Karnofsky Performance Status - standards</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasms - mortality</subject><subject>Palliative Care</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>Reproducibility of Results</subject><subject>Research Design</subject><subject>Retrospective Studies</subject><subject>Severity of Illness Index</subject><subject>Sex Distribution</subject><subject>United States - epidemiology</subject><issn>0825-8597</issn><issn>2369-5293</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNplkLFOwzAURS0EoqXwAwwoE1vg2U5qe0SIAlIRlYA5enWehZGTFDsp6t_TqpUYmO5wz73DYeySww3nSt2CFqUujQIFQgIUII7YWMipyUth5DEb74B8R4zYWUpfADsSTtmIbwteFGLMZi_UY44thk3yKetcloa49msM2SpS7W3vuzb78f1ntsAQPPZ-TdmCoutig62l7M1ioHN24jAkujjkhH3MHt7vn_L56-Pz_d08txJ4n0tRlgKdFjVJsywdGFcguNoYRUCGq6WeKuOM5dJqpaVzWKOsNSmni1JrOWHX-99V7L4HSn3V-GQpBGypG1KlAAznBWxBsQdt7FKK5KpV9A3GTcWh2tmr_tvbjq4O78OyofpvctAlfwE6L2oL</recordid><startdate>2007</startdate><enddate>2007</enddate><creator>Downing, Michael</creator><creator>Lau, Francis</creator><creator>Lesperance, Mary</creator><creator>Karlson, Nicholas</creator><creator>Shaw, Jack</creator><creator>Kuziemsky, Craig</creator><creator>Bernard, Steve</creator><creator>Hanson, Laura</creator><creator>Olajide, Lola</creator><creator>Head, Barbara</creator><creator>Ritchie, Christine</creator><creator>Harrold, Joan</creator><creator>Casarett, David</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>2007</creationdate><title>Meta-analysis of survival prediction with Palliative Performance Scale</title><author>Downing, Michael ; 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| ispartof | Journal of palliative care, 2007, Vol.23 (4), p.245-254 |
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| language | eng |
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| source | MEDLINE; SAGE Journals |
| subjects | Age Distribution Aged Aged, 80 and over Canada - epidemiology Female Humans Japan - epidemiology Kaplan-Meier Estimate Karnofsky Performance Status - standards Male Middle Aged Neoplasms - mortality Palliative Care Predictive Value of Tests Prognosis Proportional Hazards Models Prospective Studies Reproducibility of Results Research Design Retrospective Studies Severity of Illness Index Sex Distribution United States - epidemiology |
| title | Meta-analysis of survival prediction with Palliative Performance Scale |
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