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

<h4>Purpose</h4>The Palliative Prognostic (PaP) score; Palliative Prognostic Index (PPI); Feliu Prognostic Nomogram (FPN) and Palliative Performance Scale (PPS) have all been proposed as prognostic tools for palliative cancer care. However, clinical judgement remains the principal way by...

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Main Authors: P Stone, V Vickerstaff, A Kalpakidou, C Todd, J Griffiths, V Keeley, K Spencer, P Buckle, D Finlay, R Z Omar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0249763
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author P Stone
V Vickerstaff
A Kalpakidou
C Todd
J Griffiths
V Keeley
K Spencer
P Buckle
D Finlay
R Z Omar
author_facet P Stone
V Vickerstaff
A Kalpakidou
C Todd
J Griffiths
V Keeley
K Spencer
P Buckle
D Finlay
R Z Omar
author_sort P Stone
collection DOAJ
description <h4>Purpose</h4>The Palliative Prognostic (PaP) score; Palliative Prognostic Index (PPI); Feliu Prognostic Nomogram (FPN) and Palliative Performance Scale (PPS) have all been proposed as prognostic tools for palliative cancer care. However, clinical judgement remains the principal way by which palliative care professionals determine prognoses and it is important that the performance of prognostic tools is compared against clinical predictions of survival (CPS).<h4>Methods</h4>This was a multi-centre, cohort validation study of prognostic tools. Study participants were adults with advanced cancer receiving palliative care, with or without capacity to consent. Key prognostic data were collected at baseline, shortly after referral to palliative care services. CPS were obtained independently from a doctor and a nurse.<h4>Results</h4>Prognostic data were collected on 1833 participants. All prognostic tools showed acceptable discrimination and calibration, but none showed superiority to CPS. Both PaP and CPS were equally able to accurately categorise patients according to their risk of dying within 30 days. There was no difference in performance between CPS and FPN at stratifying patients according to their risk of dying at 15, 30 or 60 days. PPI was significantly (p<0.001) worse than CPS at predicting which patients would survive for 3 or 6 weeks. PPS and CPS were both able to discriminate palliative care patients into multiple iso-prognostic groups.<h4>Conclusions</h4>Although four commonly used prognostic algorithms for palliative care generally showed good discrimination and calibration, none of them demonstrated superiority to CPS. Prognostic tools which are less accurate than CPS are of no clinical use. However, prognostic tools which perform similarly to CPS may have other advantages to recommend them for use in clinical practice (e.g. being more objective, more reproducible, acting as a second opinion or as an educational tool). Future studies should therefore assess the impact of prognostic tools on clinical practice and decision-making.
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spelling doaj.art-6363b21906db4d829f9a9cb31917a31b2022-12-21T17:24:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01164e024976310.1371/journal.pone.0249763Prognostic tools or clinical predictions: Which are better in palliative care?P StoneV VickerstaffA KalpakidouC ToddJ GriffithsV KeeleyK SpencerP BuckleD FinlayR Z Omar<h4>Purpose</h4>The Palliative Prognostic (PaP) score; Palliative Prognostic Index (PPI); Feliu Prognostic Nomogram (FPN) and Palliative Performance Scale (PPS) have all been proposed as prognostic tools for palliative cancer care. However, clinical judgement remains the principal way by which palliative care professionals determine prognoses and it is important that the performance of prognostic tools is compared against clinical predictions of survival (CPS).<h4>Methods</h4>This was a multi-centre, cohort validation study of prognostic tools. Study participants were adults with advanced cancer receiving palliative care, with or without capacity to consent. Key prognostic data were collected at baseline, shortly after referral to palliative care services. CPS were obtained independently from a doctor and a nurse.<h4>Results</h4>Prognostic data were collected on 1833 participants. All prognostic tools showed acceptable discrimination and calibration, but none showed superiority to CPS. Both PaP and CPS were equally able to accurately categorise patients according to their risk of dying within 30 days. There was no difference in performance between CPS and FPN at stratifying patients according to their risk of dying at 15, 30 or 60 days. PPI was significantly (p<0.001) worse than CPS at predicting which patients would survive for 3 or 6 weeks. PPS and CPS were both able to discriminate palliative care patients into multiple iso-prognostic groups.<h4>Conclusions</h4>Although four commonly used prognostic algorithms for palliative care generally showed good discrimination and calibration, none of them demonstrated superiority to CPS. Prognostic tools which are less accurate than CPS are of no clinical use. However, prognostic tools which perform similarly to CPS may have other advantages to recommend them for use in clinical practice (e.g. being more objective, more reproducible, acting as a second opinion or as an educational tool). Future studies should therefore assess the impact of prognostic tools on clinical practice and decision-making.https://doi.org/10.1371/journal.pone.0249763
spellingShingle P Stone
V Vickerstaff
A Kalpakidou
C Todd
J Griffiths
V Keeley
K Spencer
P Buckle
D Finlay
R Z Omar
Prognostic tools or clinical predictions: Which are better in palliative care?
PLoS ONE
title Prognostic tools or clinical predictions: Which are better in palliative care?
title_full Prognostic tools or clinical predictions: Which are better in palliative care?
title_fullStr Prognostic tools or clinical predictions: Which are better in palliative care?
title_full_unstemmed Prognostic tools or clinical predictions: Which are better in palliative care?
title_short Prognostic tools or clinical predictions: Which are better in palliative care?
title_sort prognostic tools or clinical predictions which are better in palliative care
url https://doi.org/10.1371/journal.pone.0249763
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