000127430 001__ 127430
000127430 005__ 20240228140926.0
000127430 0247_ $$2doi$$a10.1371/journal.pone.0121295
000127430 0247_ $$2pmid$$apmid:25856315
000127430 0247_ $$2pmc$$apmc:PMC4391778
000127430 037__ $$aDKFZ-2017-03453
000127430 041__ $$aeng
000127430 082__ $$a500
000127430 1001_ $$aSafi, Seyer$$b0
000127430 245__ $$aDevelopment and validation of a risk score for predicting death after pneumonectomy.
000127430 260__ $$aLawrence, Kan.$$bPLoS$$c2015
000127430 3367_ $$2DRIVER$$aarticle
000127430 3367_ $$2DataCite$$aOutput Types/Journal article
000127430 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1521711533_15724
000127430 3367_ $$2BibTeX$$aARTICLE
000127430 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000127430 3367_ $$00$$2EndNote$$aJournal Article
000127430 520__ $$aPneumonectomy is associated with significant postoperative mortality. This study was undertaken to develop and validate a risk model of mortality following pneumonectomy. We reviewed our prospective database and identified 774 pneumonectomies from a total of 7792 consecutive anatomical lung resections in the years 2003 to 2010 (rate of pneumonectomy: 9.9%). Based on data from 542 pneumonectomies between 2003 and 2007 (i.e., the 'discovery set'), a penalized multivariable logistic regression analysis was performed to identify preoperative risk factors. A risk model was developed and validated in an independent data set of 232 pneumonectomies that were performed between 2008 and 2010 (i.e., the 'validation set'). Of the 542 patients in the discovery set (DS), 35 patients (6.5%) died after pneumonectomy during the same admission. We developed a risk prediction model for in-hospital mortality following pneumonectomy; that model included age, current alcohol use, coronary artery disease, preoperative leukocyte count and palliative indication as possible risk factors. The risk model was subsequently successfully validated in an independent data set (n = 232) in which 18 patients (7.8%) died following pneumonectomy. For the validation set, the sensitivity of the model was 53.3% (DS: 54.3%), the specificity was 88.0% (DS: 87.4%), the positive predictive value was 26.7% (DS: 22.9%) and the negative predictive value was 95.8% (DS: 96.5%). The Brier score was 0.062 (DS: 0.054). The prediction model is statistically valid and clinically relevant.
000127430 536__ $$0G:(DE-HGF)POF3-313$$a313 - Cancer risk factors and prevention (POF3-313)$$cPOF3-313$$fPOF III$$x0
000127430 588__ $$aDataset connected to CrossRef, PubMed,
000127430 7001_ $$0P:(DE-He78)e15dfa1260625c69d6690a197392a994$$aBenner, Axel$$b1$$udkfz
000127430 7001_ $$aWalloschek, Janos$$b2
000127430 7001_ $$0P:(DE-HGF)0$$aRenner, Maria$$b3
000127430 7001_ $$aop den Winkel, Jan$$b4
000127430 7001_ $$aMuley, Thomas$$b5
000127430 7001_ $$aStorz, Konstantina$$b6
000127430 7001_ $$aDienemann, Hendrik$$b7
000127430 7001_ $$aHoffmann, Hans$$b8
000127430 7001_ $$aSchneider, Thomas$$b9
000127430 773__ $$0PERI:(DE-600)2267670-3$$a10.1371/journal.pone.0121295$$gVol. 10, no. 4, p. e0121295 -$$n4$$pe0121295 -$$tPLoS one$$v10$$x1932-6203$$y2015
000127430 909CO $$ooai:inrepo02.dkfz.de:127430$$pVDB
000127430 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)e15dfa1260625c69d6690a197392a994$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000127430 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b3$$kDKFZ
000127430 9131_ $$0G:(DE-HGF)POF3-313$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vCancer risk factors and prevention$$x0
000127430 9141_ $$y2015
000127430 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLOS ONE : 2015
000127430 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000127430 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000127430 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000127430 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000127430 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000127430 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ
000127430 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000127430 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000127430 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000127430 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000127430 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000127430 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record
000127430 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000127430 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000127430 9201_ $$0I:(DE-He78)C060-20160331$$kC060$$lBiostatistik$$x0
000127430 980__ $$ajournal
000127430 980__ $$aVDB
000127430 980__ $$aI:(DE-He78)C060-20160331
000127430 980__ $$aUNRESTRICTED