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Patient-Reported Outcomes as Independent Prognostic Factors for Survival in Oncology: Systematic Review and Meta-Analysis.

Authors :
Efficace, Fabio
Collins, Gary S.
Cottone, Francesco
Giesinger, Johannes M.
Sommer, Kathrin
Anota, Amelie
Schlussel, Michael Maia
Fazi, Paola
Vignetti, Marco
Source :
Value in Health. Feb2021, Vol. 24 Issue 2, p250-267. 18p.
Publication Year :
2021

Abstract

<bold>Objectives: </bold>Assessment of patient-reported outcomes (PROs) in oncology is of critical importance because it provides unique information that may also predict clinical outcomes.<bold>Methods: </bold>We conducted a systematic review of prognostic factor studies to examine the prognostic value of PROs for survival in cancer. A systematic literature search was performed in PubMed for studies published between 2013 and 2018. We considered any study, regardless of the research design, that included at least 1 PRO domain in the final multivariable prognostic model. The protocol (EPIPHANY) was published and registered in the International Prospective Register of Systematic Reviews (CRD42018099160).<bold>Results: </bold>Eligibility criteria selected 138 studies including 158 127 patients, of which 43 studies were randomized, controlled trials. Overall, 120 (87%) studies reported at least 1 PRO to be statistically significantly prognostic for overall survival. Lung (n = 41, 29.7%) and genitourinary (n = 27, 19.6%) cancers were most commonly investigated. The prognostic value of PROs was investigated in secondary data analyses in 101 (73.2%) studies. The EORTC QLQ-C30 questionnaire was the most frequently used measure, and its physical functioning scale (range 0-100) the most frequent independent prognostic PRO, with a pooled hazard ratio estimate of 0.88 per 10-point increase (95% CI 0.84-0.92).<bold>Conclusions: </bold>There is convincing evidence that PROs provide independent prognostic information for overall survival across cancer populations and disease stages. Further research is needed to translate current evidence-based data into prognostic tools to aid in clinical decision making. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10983015
Volume :
24
Issue :
2
Database :
Academic Search Index
Journal :
Value in Health
Publication Type :
Academic Journal
Accession number :
148384242
Full Text :
https://doi.org/10.1016/j.jval.2020.10.017