Literature DB >> 31689273

Dealing with prognostic uncertainty: the role of prognostic models and websites for patients with advanced cancer.

David Hui1, John P Maxwell2, Carlos Eduardo Paiva3.   

Abstract

PURPOSE OF REVIEW: To provide an updated overview of prognostic models in advanced cancer and highlight the role of prognostic calculators. RECENT
FINDINGS: In the advanced cancer setting, many important healthcare decisions are driven by a patient's prognosis. However, there is much uncertainty in formulating prognosis, particularly in the era of novel cancer therapeutics. Multiple prognostic models have been validated for patients seen by palliative care and have a life expectancy of a few months or less, such as the Palliative Performance Scale, Palliative Prognostic Score, Palliative Prognostic Index, Objective Prognostic Score, and Prognosis in Palliative Care Study Predictor. However, these models are seldom used in clinical practice because of challenges related to limited accuracy when applied individually and difficulties with model selection, computation, and interpretation. Online prognostic calculators emerge as tools to facilitate knowledge translation by overcoming the above challenges. For example, www.predictsurvival.com provides the output for seven prognostic indexes simultaneously based on 11 variables.
SUMMARY: Prognostic models and prognostic websites are currently available to augment prognostication in the advanced cancer setting. Further studies are needed to examine their impact on prognostic accuracy, confidence, and clinical outcomes.

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Mesh:

Year:  2019        PMID: 31689273      PMCID: PMC7034625          DOI: 10.1097/SPC.0000000000000459

Source DB:  PubMed          Journal:  Curr Opin Support Palliat Care        ISSN: 1751-4258            Impact factor:   2.302


  76 in total

1.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

2.  Palliative performance scale (PPS): a new tool.

Authors:  F Anderson; G M Downing; J Hill; L Casorso; N Lerch
Journal:  J Palliat Care       Date:  1996       Impact factor: 2.250

3.  Development and validation of a prognostic scale for hospitalized patients with terminally ill cancer in China.

Authors:  Yu Huang; Qingsong Xi; Shu Xia; Xushi Wang; Yong Liu; Chao Huang; Wei Zheng; Shiying Yu
Journal:  Support Care Cancer       Date:  2013-09-07       Impact factor: 3.603

4.  Accuracy of prognosis prediction by PPI in hospice inpatients with cancer: a multi-centre prospective study.

Authors:  Sivakumar Subramaniam; Andrew Thorns; Martin Ridout; Thiru Thirukkumaran; Thomas Richard Osborne
Journal:  BMJ Support Palliat Care       Date:  2013-04-19       Impact factor: 3.568

5.  Magnitude of score change for the palliative prognostic index for survival prediction in patients with poor prognostic terminal cancer.

Authors:  Chia-Yen Hung; Hung-Ming Wang; Chen-Yi Kao; Yung-Chang Lin; Jen-Shi Chen; Yu-Shin Hung; Wen-Chi Chou
Journal:  Support Care Cancer       Date:  2014-05-06       Impact factor: 3.603

6.  The central role of prognosis in clinical decision making.

Authors:  Thomas M Gill
Journal:  JAMA       Date:  2012-01-11       Impact factor: 56.272

7.  Relationship between cancer patients' predictions of prognosis and their treatment preferences.

Authors:  J C Weeks; E F Cook; S J O'Day; L M Peterson; N Wenger; D Reding; F E Harrell; P Kussin; N V Dawson; A F Connors; J Lynn; R S Phillips
Journal:  JAMA       Date:  1998-06-03       Impact factor: 56.272

8.  Assessing 2-month clinical prognosis in hospitalized patients with advanced solid tumors.

Authors:  Anne-Claire Barbot; Pascale Mussault; Pierre Ingrand; Jean-Marc Tourani
Journal:  J Clin Oncol       Date:  2008-05-20       Impact factor: 44.544

9.  Combination of initial palliative prognostic index and score change provides a better prognostic value for terminally ill cancer patients: a six-year observational cohort study.

Authors:  Chen-Yi Kao; Yu-Shin Hung; Hung-Ming Wang; Jen-Shi Chen; Tsu-Ling Chin; Ching-Yi Lu; Chuan-Chuan Chi; Ya-Chi Yeh; Jin-Mei Yang; Jung-Hsuan Yen; Wen-Chi Chou
Journal:  J Pain Symptom Manage       Date:  2014-04-05       Impact factor: 3.612

10.  Comparison of an inflammation-based prognostic score (GPS) with performance status (ECOG) in patients receiving platinum-based chemotherapy for inoperable non-small-cell lung cancer.

Authors:  L M Forrest; D C McMillan; C S McArdle; W J Angerson; D J Dunlop
Journal:  Br J Cancer       Date:  2004-05-04       Impact factor: 7.640

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  3 in total

Review 1.  The Importance of Prognostication: Impact of Prognostic Predictions, Disclosures, Awareness, and Acceptance on Patient Outcomes.

Authors:  David Hui; Li Mo; Carlos Eduardo Paiva
Journal:  Curr Treat Options Oncol       Date:  2021-01-11

Review 2.  Immunotherapy Versus Hospice: Treatment Decision-Making in the Modern Era of Novel Cancer Therapies.

Authors:  Amy An; David Hui
Journal:  Curr Oncol Rep       Date:  2022-02-03       Impact factor: 5.075

3.  Longitudinal patient-reported outcomes and survival among early-stage non-small cell lung cancer patients receiving stereotactic body radiotherapy.

Authors:  Kea Turner; Naomi C Brownstein; Zachary Thompson; Issam El Naqa; Yi Luo; Heather S L Jim; Dana E Rollison; Rachel Howard; Desmond Zeng; Stephen A Rosenberg; Bradford Perez; Andreas Saltos; Laura B Oswald; Brian D Gonzalez; Jessica Y Islam; Amir Alishahi Tabriz; Wenbin Zhang; Thomas J Dilling
Journal:  Radiother Oncol       Date:  2021-12-23       Impact factor: 6.280

  3 in total

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