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Multidimensional prognostic indices for use in COPD patient care. A systematic review

dc.contributor.authorvan Dijk, Wouter D.
dc.contributor.authorvan den Bemt, Lisette
dc.contributor.authorvan den Haak-Rongen, Saskia
dc.contributor.authorBischoff, Erik
dc.contributor.authorvan Weel, Chris
dc.contributor.authorin 't Veen, Johannes C. C. M.
dc.contributor.authorSchermer, Tjard R. J.
dc.date.accessioned2015-12-24T00:02:43Z
dc.date.available2015-12-24T00:02:43Z
dc.date.issued2011-11-14
dc.date.updated2016-02-24T08:44:36Z
dc.description.abstractBACKGROUND A growing number of prognostic indices for chronic obstructive pulmonary disease (COPD) is developed for clinical use. Our aim is to identify, summarize and compare all published prognostic COPD indices, and to discuss their performance, usefulness and implementation in daily practice. METHODS We performed a systematic literature search in both Pubmed and Embase up to September 2010. Selection criteria included primary publications of indices developed for stable COPD patients, that predict future outcome by a multidimensional scoring system, developed for and validated with COPD patients only. Two reviewers independently assessed the index quality using a structured screening form for systematically scoring prognostic studies. RESULTS Of 7,028 articles screened, 13 studies comprising 15 indices were included. Only 1 index had been explored for its application in daily practice. We observed 21 different predictors and 7 prognostic outcomes, the latter reflecting mortality, hospitalization and exacerbation. Consistent strong predictors were FEV1 percentage predicted, age and dyspnoea. The quality of the studies underlying the indices varied between fairly poor and good. Statistical methods to assess the predictive abilities of the indices were heterogenic. They generally revealed moderate to good discrimination, when measured. LIMITATIONS We focused on prognostic indices for stable disease only and, inevitably, quality judgment was prone to subjectivity. CONCLUSIONS We identified 15 prognostic COPD indices. Although the prognostic performance of some of the indices has been validated, they all lack sufficient evidence for implementation. Whether or not the use of prognostic indices improves COPD disease management or patients' health is currently unknown; impact studies are required to establish this.
dc.description.sponsorshipThe paper was supported by a university grant (RvB08.066.51196/GE) by Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands.en_AU
dc.identifier.issn1465-9921en_AU
dc.identifier.urihttp://hdl.handle.net/1885/95194
dc.publisherBioMed Central
dc.rights© 2011 van Dijk et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.sourceRespiratory Research
dc.subjecthospitalization
dc.subjecthumans
dc.subjectprevalence
dc.subjectprognosis
dc.subjectpulmonary disease, chronic obstructive
dc.subjectreproducibility of results
dc.subjectrespiratory function tests
dc.subjectrisk assessment
dc.subjectrisk factors
dc.subjectsensitivity and specificity
dc.subjectsurvival rate
dc.subjectdata interpretation, statistical
dc.subjectproportional hazards models
dc.subjectsurvival analysis
dc.titleMultidimensional prognostic indices for use in COPD patient care. A systematic review
dc.typeJournal article
dcterms.dateAccepted2011-04-20
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.startpage151en_AU
local.contributor.affiliationvan Dijk, Wouter D., Radboud University Nijmegen Medical Centre, Netherlandsen_AU
local.contributor.affiliationvan den Bemt, Lisette, Department of Primary and Community Care, Netherlandsen_AU
local.contributor.affiliationHaak-Rongen, Saskia van den, Radboud University Nijmegen Medical Centre, Netherlandsen_AU
local.contributor.affiliationBischoff, Eric W M A, Radboud University Nijmegen Medical Centre, Netherlandsen_AU
local.contributor.affiliationVan Weel, Chris, College of Medicine, Biology and Environment, CMBE Research School of Population Health, Australian Primary Health Care Research Institute, The Australian National Universityen_AU
local.contributor.affiliationCCM in ÔÇÿt Veen, Johannes, Radboud University Nijmegen Medical Centre, Netherlandsen_AU
local.contributor.affiliationSchermer, Tjard R.J., Radboud University Nijmegen Medical Centre, Netherlandsen_AU
local.contributor.authoruidu5384627en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor110200en_AU
local.identifier.ariespublicationf5625xPUB13121en_AU
local.identifier.citationvolume12en_AU
local.identifier.doi10.1186/1465-9921-12-151en_AU
local.identifier.essn1465-993Xen_AU
local.identifier.scopusID2-s2.0-81055127633
local.publisher.urlhttp://www.biomedcentral.com/en_AU
local.type.statusPublished Versionen_AU

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