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Performance of clinician prediction of survival in oncology outpatients with advanced cancer

BACKGROUND: We aimed to investigate the performance of clinician prediction of survival (CPS) and the association between CPS and the prognostic confidence of clinicians in ambulatory medical oncology outpatients. METHODS: Eight medical oncologists estimated the expected survival of their patients i...

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Autores principales: Kim, Yu Jung, Yoon, Seok Joon, Suh, Sang-Yeon, Hiratsuka, Yusuke, Kang, Beodeul, Lee, Si Won, Ahn, Hong-Yup, Suh, Koung Jin, Kim, Ji-Won, Kim, Se Hyun, Kim, Jin Won, Lee, Keun-Wook, Kim, Jee Hyun, Lee, Jong Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022805/
https://www.ncbi.nlm.nih.gov/pubmed/35446910
http://dx.doi.org/10.1371/journal.pone.0267467
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author Kim, Yu Jung
Yoon, Seok Joon
Suh, Sang-Yeon
Hiratsuka, Yusuke
Kang, Beodeul
Lee, Si Won
Ahn, Hong-Yup
Suh, Koung Jin
Kim, Ji-Won
Kim, Se Hyun
Kim, Jin Won
Lee, Keun-Wook
Kim, Jee Hyun
Lee, Jong Seok
author_facet Kim, Yu Jung
Yoon, Seok Joon
Suh, Sang-Yeon
Hiratsuka, Yusuke
Kang, Beodeul
Lee, Si Won
Ahn, Hong-Yup
Suh, Koung Jin
Kim, Ji-Won
Kim, Se Hyun
Kim, Jin Won
Lee, Keun-Wook
Kim, Jee Hyun
Lee, Jong Seok
author_sort Kim, Yu Jung
collection PubMed
description BACKGROUND: We aimed to investigate the performance of clinician prediction of survival (CPS) and the association between CPS and the prognostic confidence of clinicians in ambulatory medical oncology outpatients. METHODS: Eight medical oncologists estimated the expected survival of their patients in a prospective cohort study. They were asked to provide a temporal type of CPS in weeks, together with their level of confidence for each prediction (0–100%). We analyzed the accuracy of CPS, the association between CPS and the prognostic confidence, and the characteristics of patients showing inaccurate CPS. RESULTS: A total of 200 advanced cancer patients were enrolled and the median overall survival was 7.6 months. CPS was accurate in 67 (33.5%) patients, underestimated in 87 (43.5%), and overestimated in 46 (23.0%). The overall accuracy of CPS for 12-week, 24-week, 36-week, and 48-week survival was 83.0%, 72.0%, 75.5%, and 74.0%, respectively. The specificity was highest for 12-week survival (90.2%) and the sensitivity was highest for 48-week survival (96.1%). The sensitivity of 12-week CPS was 51.4% and the area under the receiver operating characteristic (AUROC) curve was 0.79 (95% confidence interval [CI] 0.71–0.87). The prognostic confidence of clinicians was not significantly associated with the accuracy of prediction (P = 0.359). Patients with overestimated survival had significantly poorer global health status and physical/role/emotional functioning in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Additionally, they showed significantly higher levels of fatigue, nausea/vomiting, pain, dyspnea, and loss of appetite. CONCLUSION: The overall accuracy of CPS in predicting 12-week to 48-week survival was high in medical oncology outpatients. However the sensitivity of 12-week CPS was low and prognostic confidence was not associated with the accuracy of CPS. Patients with overestimated CPS showed poorer quality of life and higher symptom burden.
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spelling pubmed-90228052022-04-22 Performance of clinician prediction of survival in oncology outpatients with advanced cancer Kim, Yu Jung Yoon, Seok Joon Suh, Sang-Yeon Hiratsuka, Yusuke Kang, Beodeul Lee, Si Won Ahn, Hong-Yup Suh, Koung Jin Kim, Ji-Won Kim, Se Hyun Kim, Jin Won Lee, Keun-Wook Kim, Jee Hyun Lee, Jong Seok PLoS One Research Article BACKGROUND: We aimed to investigate the performance of clinician prediction of survival (CPS) and the association between CPS and the prognostic confidence of clinicians in ambulatory medical oncology outpatients. METHODS: Eight medical oncologists estimated the expected survival of their patients in a prospective cohort study. They were asked to provide a temporal type of CPS in weeks, together with their level of confidence for each prediction (0–100%). We analyzed the accuracy of CPS, the association between CPS and the prognostic confidence, and the characteristics of patients showing inaccurate CPS. RESULTS: A total of 200 advanced cancer patients were enrolled and the median overall survival was 7.6 months. CPS was accurate in 67 (33.5%) patients, underestimated in 87 (43.5%), and overestimated in 46 (23.0%). The overall accuracy of CPS for 12-week, 24-week, 36-week, and 48-week survival was 83.0%, 72.0%, 75.5%, and 74.0%, respectively. The specificity was highest for 12-week survival (90.2%) and the sensitivity was highest for 48-week survival (96.1%). The sensitivity of 12-week CPS was 51.4% and the area under the receiver operating characteristic (AUROC) curve was 0.79 (95% confidence interval [CI] 0.71–0.87). The prognostic confidence of clinicians was not significantly associated with the accuracy of prediction (P = 0.359). Patients with overestimated survival had significantly poorer global health status and physical/role/emotional functioning in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Additionally, they showed significantly higher levels of fatigue, nausea/vomiting, pain, dyspnea, and loss of appetite. CONCLUSION: The overall accuracy of CPS in predicting 12-week to 48-week survival was high in medical oncology outpatients. However the sensitivity of 12-week CPS was low and prognostic confidence was not associated with the accuracy of CPS. Patients with overestimated CPS showed poorer quality of life and higher symptom burden. Public Library of Science 2022-04-21 /pmc/articles/PMC9022805/ /pubmed/35446910 http://dx.doi.org/10.1371/journal.pone.0267467 Text en © 2022 Kim et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kim, Yu Jung
Yoon, Seok Joon
Suh, Sang-Yeon
Hiratsuka, Yusuke
Kang, Beodeul
Lee, Si Won
Ahn, Hong-Yup
Suh, Koung Jin
Kim, Ji-Won
Kim, Se Hyun
Kim, Jin Won
Lee, Keun-Wook
Kim, Jee Hyun
Lee, Jong Seok
Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title_full Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title_fullStr Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title_full_unstemmed Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title_short Performance of clinician prediction of survival in oncology outpatients with advanced cancer
title_sort performance of clinician prediction of survival in oncology outpatients with advanced cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022805/
https://www.ncbi.nlm.nih.gov/pubmed/35446910
http://dx.doi.org/10.1371/journal.pone.0267467
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