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Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality.

dc.contributor.authorBaré, Marisa
dc.contributor.authorAlcantara, Manuel Jesús
dc.contributor.authorGil, Maria José
dc.contributor.authorCollera, Pablo
dc.contributor.authorPont, Marina
dc.contributor.authorEscobar, Antonio
dc.contributor.authorSarasqueta, Cristina
dc.contributor.authorRedondo, Maximino
dc.contributor.authorBriones, Eduardo
dc.contributor.authorDujovne, Paula
dc.contributor.authorQuintana, Jose Maria
dc.contributor.authorCARESS-CCR Study Group
dc.date.accessioned2023-01-25T10:03:08Z
dc.date.available2023-01-25T10:03:08Z
dc.date.issued2018-01-29
dc.description.abstractTo validate and recalibrate the CR- POSSUM model and compared its discriminatory capacity with other European models such as POSSUM, P-POSSUM, AFC or IRCS to predict operative mortality in surgery for colorectal cancer. Prospective multicenter cohort study from 22 hospitals in Spain. We included patients undergoing planned or urgent surgery for primary invasive colorectal cancers between June 2010 and December 2012 (N = 2749). Clinical data were gathered through medical chart review. We validated and recalibrated the predictive models using logistic regression techniques. To calculate the discriminatory power of each model, we estimated the areas under the curve - AUC (95% CI). We also assessed the calibration of the models by applying the Hosmer-Lemeshow test. In-hospital mortality was 1.5% and 30-day mortality, 1.7%. In the validation process, the discriminatory power of the CR-POSSUM for predicting in-hospital mortality was 73.6%. However, in the recalibration process, the AUCs improved slightly: the CR-POSSUM reached 75.5% (95% CI: 67.3-83.7). The discriminatory power of the CR-POSSUM for predicting 30-day mortality was 74.2% (95% CI: 67.1-81.2) after recalibration; among the other models the POSSUM had the greatest discriminatory power, with an AUC of 77.0% (95% CI: 68.9-85.2). The Hosmer-Lemeshow test showed good fit for all the recalibrated models. The CR-POSSUM and the other models showed moderate capacity to discriminate the risk of operative mortality in our context, where the actual operative mortality is low. Nevertheless the IRCS might better predict in-hospital mortality, with fewer variables, while the CR-POSSUM could be slightly better for predicting 30-day mortality. Registered at: ClinicalTrials.gov Identifier: NCT02488161.
dc.identifier.doi10.1186/s12913-018-2839-x
dc.identifier.essn1472-6963
dc.identifier.pmcPMC5789585
dc.identifier.pmid29378647
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789585/pdf
dc.identifier.unpaywallURLhttps://doi.org/10.1186/s12913-018-2839-x
dc.identifier.urihttp://hdl.handle.net/10668/12059
dc.issue.number1
dc.journal.titleBMC health services research
dc.journal.titleabbreviationBMC Health Serv Res
dc.language.isoen
dc.organizationHospital Costa del Sol
dc.organizationServicio Andaluz de Salud-SAS
dc.page.number49
dc.pubmedtypeComparative Study
dc.pubmedtypeJournal Article
dc.pubmedtypeMulticenter Study
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.pubmedtypeValidation Study
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectColorectal cancer
dc.subjectCr-possum
dc.subjectOperative mortality
dc.subjectPredictive model
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshAged, 80 and over
dc.subject.meshColorectal Neoplasms
dc.subject.meshFemale
dc.subject.meshHospital Mortality
dc.subject.meshHospitals
dc.subject.meshHumans
dc.subject.meshLogistic Models
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshPredictive Value of Tests
dc.subject.meshProspective Studies
dc.subject.meshROC Curve
dc.subject.meshReproducibility of Results
dc.subject.meshRisk Assessment
dc.subject.meshSpain
dc.titleValidity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number18
dspace.entity.typePublication

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