Literature DB >> 28488922

Predicting prognosis in patients with advanced cancer: A prospective study.

Teresa Tavares1, Margarida Oliveira1, João Gonçalves2, Vera Trocado3, Jéssica Perpétuo1, Alexandra Azevedo2, Firmino Machado4, Vasco Barreto1, Céu Rocha1.   

Abstract

BACKGROUND: Prognosis is one of the most challenging questions with which physicians are confronted. Accuracy in the prediction of survival is necessary for clinical, ethical, and organizational reasons. AIM: Evaluate young doctors' clinical prediction of survival and the aids they could get: expert opinion, Palliative Prognostic score, and Palliative Prognostic Index.
DESIGN: Prospective, observational study. SETTING/PARTICIPANTS: Advanced cancer patients under observation of an inhospital palliative care team, from April to July 2014. A total of 38 patients were included, mostly male (65.8%), average age 68.5 years. Average survival time was 24 days. Follow-up concluded with death or after 90 days.
RESULTS: Young doctors' clinical prediction of survival was adequate at 10.5%, with 55.3% severe errors in an optimistic direction. Palliative care experts were more adequate (23.7%) and made less severe errors (42.1%). Palliative Prognostic score and Palliative Prognostic Index were even more adequate (47% and 55%, respectively) and made even less severe errors (0% and 11%, respectively). The best correlation with observed survival was achieved when palliative care experts used palliative prognostic score ( rs = -0.629; p < 0.01).
CONCLUSION: Young doctors' clinical prediction of survival is often inadequate. Palliative Prognostic score, which includes clinical prediction of survival, calculated by palliative care experts had the best performance. Our results support the recommendation of using clinical prediction of survival together with prognostic scores.

Entities:  

Keywords:  Prognosis; neoplasms; palliative care; risk factors; survival

Mesh:

Year:  2017        PMID: 28488922     DOI: 10.1177/0269216317705788

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  10 in total

1.  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

2.  [A German version of the Palliative Performance Scale (PPS) as a supportive structure to assess survival in palliative patients].

Authors:  Veronika Mosich; Martin Andersag; Herbert Watzke
Journal:  Wien Med Wochenschr       Date:  2019-11-14

3.  Development and internal validation of laboratory prognostic score to predict 14-day mortality in terminally ill patients with gastrointestinal malignancy.

Authors:  Hidemasa Nagai; Natsuko Kawai; Norihiro Yuasa
Journal:  Support Care Cancer       Date:  2022-01-27       Impact factor: 3.603

4.  Prognostic models of survival in patients with advanced incurable cancer: the PiPS2 observational study.

Authors:  Patrick Stone; Anastasia Kalpakidou; Chris Todd; Jane Griffiths; Vaughan Keeley; Karen Spencer; Peter Buckle; Dori-Anne Finlay; Victoria Vickerstaff; Rumana Z Omar
Journal:  Health Technol Assess       Date:  2021-05       Impact factor: 4.014

5.  Prognostic laboratory score to predict 14-day mortality in terminally ill patients with respiratory malignancy.

Authors:  Mari Tanaka; Natsuko Kawai; Norihiro Yuasa
Journal:  Int J Clin Oncol       Date:  2022-01-23       Impact factor: 3.402

6.  Prognostic tools or clinical predictions: Which are better in palliative care?

Authors:  P Stone; V Vickerstaff; A Kalpakidou; C Todd; J Griffiths; V Keeley; K Spencer; P Buckle; D Finlay; R Z Omar
Journal:  PLoS One       Date:  2021-04-28       Impact factor: 3.240

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

Authors:  Yu Jung Kim; Seok Joon Yoon; Sang-Yeon Suh; Yusuke Hiratsuka; Beodeul Kang; Si Won Lee; Hong-Yup Ahn; Koung Jin Suh; Ji-Won Kim; Se Hyun Kim; Jin Won Kim; Keun-Wook Lee; Jee Hyun Kim; Jong Seok Lee
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.240

8.  The accuracy of clinician predictions of survival in the Prognosis in Palliative care Study II (PiPS2): A prospective observational study.

Authors:  Patrick C Stone; Christina Chu; Chris Todd; Jane Griffiths; Anastasia Kalpakidou; Vaughan Keeley; Rumana Z Omar; Victoria Vickerstaff
Journal:  PLoS One       Date:  2022-04-14       Impact factor: 3.752

9.  Evaluating the Oncogenic and Tumor Suppressor Role of XPO5 in Different Tissue Tumor Types

Authors:  Munazza Khan; Zafaruddin Khan; Yaser Uddin; Sadaf Mustafa; Irfan Shaukat; Jianbo Pan; Naseruddin Höti
Journal:  Asian Pac J Cancer Prev       Date:  2018-04-27

Review 10.  Prognosticating for Adult Patients With Advanced Incurable Cancer: a Needed Oncologist Skill.

Authors:  Christina Chu; Rebecca Anderson; Nicola White; Patrick Stone
Journal:  Curr Treat Options Oncol       Date:  2020-01-16
  10 in total

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