ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021
How palliative care professionals deal with predicting life expectancy at the end of life: predictors and accuracy.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Factors influencing the survival time of patients with advanced cancer at the end of life: a retrospective study.BMC palliative care · 2024Article
- Factors related to accurate clinicians' prediction of survival: an international multicenter study in East Asia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Shock Index Is a Validated Prediction Tool for the Short-Term Survival of Advanced Cancer Patients Presenting to the Emergency Department.Journal of personalized medicine · 2022Article
- Successful Strategies and Areas of Improvement-Lessons Learned from Design and Conduction of a Randomized Placebo-Controlled Trial in Palliative Care, 'Palliative-D'.Life (Basel, Switzerland) · 2021Article
- Article
- Referral Time of Advance Cancer Patients to Palliative Care Services and Its Predictors in Specialized Cancer Center.Cureus · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo assess the accuracy of hospice staff in predicting survival of subjects admitted to hospice, exploring the factors considered most helpful by the hospice staff to accurately predict survival.
methodsFive physicians and 11 nurses were asked to predict survival at admission of 827 patients. Actual and predicted survival times were divided into ≤ 1 week, 2-3 weeks, 4-8 weeks, and ≥ 2 months and the accuracy of the estimates was calculated. The staff members were each asked to score 17 clinical variables that guided them in predicting survival and we analyzed how these variables impacted the accuracy.
resultsPhysicians' and nurses' accuracy of survival of the patients was 46% and 40% respectively. Survival was underestimated in 20% and 12% and overestimated in 34% and 48% of subjects. Both physicians and nurses considered metastases, comorbidities, dyspnea, disability, tumor site, neurological symptoms, and confusion very important in predicting patients' survival with nurses assigning more importance to intestinal symptoms and pain too. All these factors, with the addition of cough and/or bronchial secretions, were associated with physicians' greater accuracy. In the multivariable models, intestinal symptoms and confusion continued to be associated with greater predictive accuracy. No factors appreciably raised nurses' accuracy.
conclusionsSome clinical symptoms rated as relevant by the hospice staff could be important for predicting survival. However, only intestinal symptoms and confusion significantly improved the accuracy of physicians' predictions, despite the high prevalence of overestimated survival.
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