The accuracy of clinicians' predictions of survival in advanced cancer: a review
- PMID: 26841812
- DOI: 10.3978/j.issn.2224-5820.2015.08.04
The accuracy of clinicians' predictions of survival in advanced cancer: a review
Abstract
The process of formulating an accurate survival prediction is often difficult but important, as it influences the decisions of clinicians, patients, and their families. The current article aims to review the accuracy of clinicians' predictions of survival (CPS) in advanced cancer patients. A literature search of Cochrane CENTRAL, EMBASE, and MEDLINE was conducted to identify studies that reported clinicians' prediction of survival in advanced cancer patients. Studies were included if the subjects consisted of advanced cancer patients and the data reported on the ability of clinicians to predict survival, with both estimated and observed survival data present. Studies reporting on the ability of biological and molecular markers to predict survival were excluded. Fifteen studies that met the inclusion and exclusion criteria were identified. Clinicians in five studies underestimated patients' survival (estimated to observed survival ratio between 0.5 and 0.92). In contrast, 12 studies reported clinicians' overestimation of survival (ratio between 1.06 and 6). CPS in advanced cancer patients is often inaccurate and overestimated. Given these findings, clinicians should be aware of their tendency to be overoptimistic. Further investigation of predictive patient and clinician characteristics is warranted to improve clinicians' ability to predict survival.
Keywords: Advanced cancer; clinical prediction; prognosis; survival.
Similar articles
-
Clinicians are poor raters of life-expectancy before radical prostatectomy or definitive radiotherapy for localized prostate cancer.BJU Int. 2007 Dec;100(6):1254-8. doi: 10.1111/j.1464-410X.2007.07130.x. BJU Int. 2007. PMID: 17979925
-
Factors related to accurate clinicians' prediction of survival: an international multicenter study in East Asia.Support Care Cancer. 2024 Jul 6;32(7):490. doi: 10.1007/s00520-024-08708-8. Support Care Cancer. 2024. PMID: 38970661
-
Clinicians' Prediction of Survival and Prognostic Confidence in Patients with Advanced Cancer in Three East Asian Countries.J Palliat Med. 2023 Jun;26(6):790-797. doi: 10.1089/jpm.2022.0380. Epub 2023 Mar 8. J Palliat Med. 2023. PMID: 36888535
-
What is the relationship between patients' and clinicians' reports of the outcomes of elective surgery?J Health Serv Res Policy. 2009 Jul;14(3):174-82. doi: 10.1258/jhsrp.2009.008115. J Health Serv Res Policy. 2009. PMID: 19541877 Review.
-
Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative Care.J Clin Oncol. 2005 Sep 1;23(25):6240-8. doi: 10.1200/JCO.2005.06.866. J Clin Oncol. 2005. PMID: 16135490 Review.
Cited by
-
Machine Learning Methods for Survival Analysis with Clinical and Transcriptomics Data of Breast Cancer.Methods Mol Biol. 2023;2553:325-393. doi: 10.1007/978-1-0716-2617-7_16. Methods Mol Biol. 2023. PMID: 36227551
-
Clinicians' Perspectives on the Telehealth Serious Illness Care Program for Older Adults With Myeloid Malignancies: Single-Arm Pilot Study.JMIR Form Res. 2024 Jun 27;8:e58503. doi: 10.2196/58503. JMIR Form Res. 2024. PMID: 38935428 Free PMC article.
-
Is early integration of palliative home care in oncology treatment feasible and acceptable for advanced cancer patients and their health care providers? A phase 2 mixed-methods study.BMC Palliat Care. 2020 Nov 23;19(1):174. doi: 10.1186/s12904-020-00673-3. BMC Palliat Care. 2020. PMID: 33228662 Free PMC article.
-
Easy-to-use clinical tool for survival estimation in Ewing sarcoma at diagnosis and after surgery.Sci Rep. 2019 Jul 29;9(1):11000. doi: 10.1038/s41598-019-46721-8. Sci Rep. 2019. PMID: 31358784 Free PMC article.
-
Relevant Study: Patient and Clinician Perspectives on Clinically-Meaningful Outcomes in Advanced Pancreatic Cancer.Cancers (Basel). 2023 Jan 25;15(3):738. doi: 10.3390/cancers15030738. Cancers (Basel). 2023. PMID: 36765698 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous