Literature DB >> 26841812

The accuracy of clinicians' predictions of survival in advanced cancer: a review.

Stephanie Cheon1, Arnav Agarwal1, Marko Popovic1, Milica Milakovic1, Michael Lam1, Wayne Fu1, Julia DiGiovanni1, Henry Lam1, Breanne Lechner1, Natalie Pulenzas1, Ronald Chow1, Edward Chow2.   

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.

Entities:  

Keywords:  Advanced cancer; clinical prediction; prognosis; survival

Mesh:

Year:  2016        PMID: 26841812     DOI: 10.3978/j.issn.2224-5820.2015.08.04

Source DB:  PubMed          Journal:  Ann Palliat Med        ISSN: 2224-5820


  26 in total

1.  A Patient-Reported Outcome Instrument to Assess Symptom Burden and Predict Survival in Patients with Advanced Cancer: Flipping the Paradigm to Improve Timing of Palliative and End-of-Life Discussions and Reduce Unwanted Health Care Costs.

Authors:  Stuart L Goldberg; Dhakshila Paramanathan; Raya Khoury; Sharmi Patel; Dayo Jagun; Srikesh Arunajadai; Victoria DeVincenzo; Ruth Pe Benito; Brooke Gruman; Sukhi Kaur; Scott Paddock; Andrew D Norden; Eric V Schultz; John Hervey; Terrill Jordan; Andre Goy; Andrew L Pecora
Journal:  Oncologist       Date:  2018-09-28

2.  How palliative care professionals deal with predicting life expectancy at the end of life: predictors and accuracy.

Authors:  Sara Mandelli; Emma Riva; Mauro Tettamanti; Ugo Lucca; Davide Lombardi; Gianmaria Miolo; Simon Spazzapan; Rita Marson
Journal:  Support Care Cancer       Date:  2020-08-31       Impact factor: 3.603

3.  Economic Theory and Medical Assistance in Dying.

Authors:  Donald A Redelmeier; Allan S Detsky
Journal:  Appl Health Econ Health Policy       Date:  2021-01       Impact factor: 2.561

Review 4.  Prognostication in advanced cancer: update and directions for future research.

Authors:  David Hui; Carlos Eduardo Paiva; Egidio G Del Fabbro; Christopher Steer; Jane Naberhuis; Marianne van de Wetering; Paz Fernández-Ortega; Tatsuya Morita; Sang-Yeon Suh; Eduardo Bruera; Masanori Mori
Journal:  Support Care Cancer       Date:  2019-03-13       Impact factor: 3.603

5.  Estimating survival and choosing treatment for spinal metastases: Do spine surgeons agree with each other?

Authors:  Quirina C B S Thio; Nuno Rui Paulino Pereira; Olivier van Wulfften Palthe; Daniel M Sciubba; Jos A M Bramer; Joseph H Schwab
Journal:  J Orthop       Date:  2021-11-27

6.  Comparison of the accuracy of clinicians' prediction of survival and Palliative Prognostic Score: an East Asian cross-cultural study.

Authors:  Yusuke Hiratsuka; Seok-Joon Yoon; Sang-Yeon Suh; Sung-Eun Choi; David Hui; Sun-Hyun Kim; Eon Sook Lee; Sun Wook Hwang; Shao-Yi Cheng; Ping-Jen Chen; Masanori Mori; Takashi Yamaguchi; Tatsuya Morita; Satoru Tsuneto; Akira Inoue
Journal:  Support Care Cancer       Date:  2021-11-06       Impact factor: 3.603

7.  Accuracy of Oncologists' Life-Expectancy Estimates Recalled by Their Advanced Cancer Patients: Correlates and Outcomes.

Authors:  Jason Lambden; Baohui Zhang; Robert Friedlander; Holly G Prigerson
Journal:  J Palliat Med       Date:  2016-08-30       Impact factor: 2.947

8.  Supportive Care: Time to Change Our Prognostic Tools and Their Use in CKD.

Authors:  Cécile Couchoud; Brenda Hemmelgarn; Peter Kotanko; Michael J Germain; Olivier Moranne; Sara N Davison
Journal:  Clin J Am Soc Nephrol       Date:  2016-08-10       Impact factor: 8.237

9.  GLIMPSE: a glioblastoma prognostication model using ensemble learning-a surveillance, epidemiology, and end results study.

Authors:  Kamel A Samara; Zaher Al Aghbari; Amani Abusafia
Journal:  Health Inf Sci Syst       Date:  2021-01-12

10.  Communication about Prognosis during Patient-Initiated Second Opinion Consultations in Advanced Cancer Care: An Observational Qualitative Analysis.

Authors:  N C A van der Velden; M B A van der Kleij; V Lehmann; E M A Smets; J M L Stouthard; I Henselmans; M A Hillen
Journal:  Int J Environ Res Public Health       Date:  2021-05-26       Impact factor: 3.390

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