Abstract
Background
The palliative prognostic index (PPI) is a commonly used tool to predict the life expectancy in palliative care patients. However, there is no universal cutoff, and the accuracy of different cutoffs varies. Therefore, we conducted this meta-analysis to explore the validity and accuracy of different PPI scores for different survival time in palliative care setting.
Methods
PubMed, Embase, Cochrane, Scopus and Chinese CNKI databases were searched to identify studies using the PPI as a prognostic tool to predict survival time in palliative care. We calculated pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs), and subgroup analyses were also conducted by different cutoffs. After extracting data, we estimated the pooled sensitivity, specificity, positive predictive value, and negative predictive value.
Results
We identified 15 studies with 7455 assessments. Seven of these studies were synthesized for a combined HR. The pooled HR was 1.94 (95% CI 1.54–2.44) when cutoffs were 2 and 4, and 2.34 (95% CI 1.50–3.66) when cutoffs were 4 and 6. Of all the studies, 13 studies reported their accuracy, of which four studies were assessed by meta-analysis. The sensitivity of the PPI for 3-week survival ranged from 51 to 92% and specificity ranged from 60.0 to 94.0%, respectively. The sensitivity and specificity of the PPI for 6-week survival were from 46.0 to 89.1% and from 51.7 to 84.4%, respectively. The pooled sensitivity and specificity of the PPI for 3-week survival were 68% (6 as cutoff) and 76% (6 as cutoff), respectively. As for 6-week survival prediction, the pooled sensitivity and specificity were 68% (4 as cutoff) and 82% (4 as cutoff), respectively.
Conclusion
The PPI is a useful prognosticator of life expectancy of patients in palliative care, especially for patients with short survival time. However, there were no universal cutoff, and the predicted life span varies. Our data eliminated that using 4 and 6 as cutoffs can better predict the patients’ survival time for 3 or 6 weeks. Due to small number of studies and poor qualities of them, result may alter as more studies with better quality are enrolled in the future.
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References
Kirk P, Kirk I, Kristjanson LJ (2004) What do patients receiving palliative care for cancer and their families want to be told? A Canadian and Australian qualitative study. BMJ 328:1343. https://doi.org/10.1136/bmj.38103.423576.55
Steinhauser KE, Christakis NA, Clipp EC et al (2001) Preparing for the end of life: preferences of patients, families, physicians, and other care providers. J Pain Symptom Manag 22:727–737
Adams E, Boulton M, Watson E (2009) The information needs of partners and family members of cancer patients: a systematic literature review. Patient Educ Couns 77:179–186. https://doi.org/10.1016/j.pec.2009.03.027
White N, Reid F, Harris A et al (2016) A systematic review of predictions of survival in palliative care: how accurate are clinicians and who are the experts? PLoS One 11:e0161407. https://doi.org/10.1371/journal.pone.0161407
Anderson F, Downing GM, Hill J et al (1996) Palliative performance scale (PPS): a new tool. J Palliat Care 12:5–11
Morita T, Tsunoda J, Inoue S et al (1999) The palliative prognostic index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer 7:128–133. https://doi.org/10.1007/s005200050242
Morita T, Tsunoda J, Inoue S et al (2001) Improved accuracy of physicians’ survival prediction for terminally ill cancer patients using the palliative prognostic index. Palliat Med 15:419–424. https://doi.org/10.1191/026921601680419474
Wells GA, Shea BJ, O’Connell D et al (2014) The Newcastle–Ottawa Scale (NOS) for assessing the quality of non-randomized studies in meta-analysis. Appl Eng Agric 18:727–734
Tierney JF, Stewart LA, Ghersi D et al (2007) Practical methods for incorporating summary time-to-event data into meta-analysis. Trials 8:16. https://doi.org/10.1186/1745-6215-8-16
Cole SR, Chu H (2014) Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. J Clin Epidemiol 59:1331–1332
Arai Y, Okajima Y, Kotani K et al (2014) Prognostication based on the change in the palliative prognostic index for patients with terminal cancer. J Pain Symptom Manag 47:742–747. https://doi.org/10.1016/j.jpainsymman.2013.05.011
Belanger E, Tetrault D, Tradounsky G et al (2015) Accuracy and usefulness of the palliative prognostic index in a community setting. Int J Palliat Nurs 21:602–605. https://doi.org/10.12968/ijpn.2015.21.12.608
Hamano J, Tokuda Y, Kawagoe S et al (2016) Adding items that assess changes in activities of daily living does not improve the predictive accuracy of the PALLIATIVE PROGNOSTIC INDEX. Palliat Med. https://doi.org/10.1177/0269216316650788
Inomata M, Hayashi R, Tokui K et al (2014) Usefulness of the palliative prognostic index in patients with lung cancer. Med Oncol 31:1–4. https://doi.org/10.1007/s12032-014-0154-x
Kao CY, Hung YS, Wang HM et al (2014) Combination of initial palliative prognostic index and score change provides a better prognostic value for terminally ill cancer patients: a six-year observational cohort study. J Pain Symptom Manag 48:804–814. https://doi.org/10.1016/j.jpainsymman.2013.12.246
Kim AS, Youn CH, Ko HJ et al (2014) The survival time of terminal cancer patients: prediction based on clinical parameters and simple prognostic scores. J Palliat Care 30:24–31
Maltoni M, Scarpi E, Pittureri C et al (2012) Prospective comparison of prognostic scores in palliative care cancer populations. Oncologist 17:446–454. https://doi.org/10.1634/theoncologist.2011-0397
Ohno E, Abe M, Sasaki H et al (2015) Validation of 2 prognostic models in hospitalized patients with advanced hematological malignancies in Japan. Am J Hospice Palliat Care. https://doi.org/10.1177/1049909115615567
Sonoda H, Yamaguchi T, Matsumoto M et al (2014) Validation of the palliative prognostic index and palliative prognostic score in a palliative care consultation team setting for patients with advanced cancers in an acute care hospital in Japan. Am J Hospice Palliat Med 31:730–734. https://doi.org/10.1177/1049909113506034
Stiel S, Bertram L, Neuhaus S et al (2010) Evaluation and comparison of two prognostic scores and the physicians’ estimate of survival in terminally ill patients. Support Care Cancer 18:43–49. https://doi.org/10.1007/s00520-009-0628-0
Subramaniam S, Thorns A, Ridout M et al (2015) Accuracy of prognosis prediction by PPI in hospice inpatients with cancer: a multi-centre prospective study. BMJ Support Palliat Care 5:399–404. https://doi.org/10.1136/bmjspcare-2012-000239rep
Yoon SJ, Jung JG, Kim JS et al (2014) Comparison of accuracy among prognostic scores for predicting life expectancy in korean patients with cancer with weeks of survival. Am J Hospice Palliat Med 31:845–852. https://doi.org/10.1177/1049909113503486
Yoong J, Atkin N, Le B (2010) Use of the palliative prognostic index in a palliative care consultation service in Melbourne, Australia. J Pain Symptom Manag 39:e2–e4. https://doi.org/10.1016/j.jpainsymman.2009.08.001
Acknowledgements
The authors thank the staff of the Department of Geriatrics Medicine, West China Hospital, for their guidance and support.
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YL formulated the research question, designed the study and screened the articles, collected the data, assessed the quality of studies and drafted the manuscript. LS designed the study and revised the manuscript. YW collected the data and analyzed the data. SL screened the articles and assessed the qualities of studies. BD assisted with formulating the research question and supervising the quality of the paper.
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Liu, Y., Su, L., Wang, Y. et al. The application of the palliative prognostic index in predicting the life expectancy of patients in palliative care: a systematic review and meta-analysis. Aging Clin Exp Res 30, 1417–1428 (2018). https://doi.org/10.1007/s40520-018-0928-7
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DOI: https://doi.org/10.1007/s40520-018-0928-7