Prognostic Models in Severe Traumatic Brain Injury: A Systematic Review and Meta-analysis

dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.authorVIEIRA, Rita de Cassia Almeida
dc.contributor.authorSILVEIRA, Juliana Cristina Pereira
dc.contributor.authorPAIVA, Wellingson Silva
dc.contributor.authorOLIVEIRA, Daniel Vieira de
dc.contributor.authorSOUZA, Camila Pedroso Estevam de
dc.contributor.authorSANTANA-SANTOS, Eduesley
dc.contributor.authorSOUSA, Regina Marcia Cardoso de
dc.date.accessioned2022-12-21T13:30:14Z
dc.date.available2022-12-21T13:30:14Z
dc.date.issued2022
dc.description.abstractThis review aimed to analyze the results of investigations that performed external validation or that compared prognostic models to identify the models and their variations that showed the best performance in predicting mortality, survival, and unfavorable outcome after severe traumatic brain injury. Pubmed, Embase, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Google Scholar, TROVE, and Open Grey databases were searched. A total of 1616 studies were identified and screened, and 15 studies were subsequently included for analysis after applying the selection criteria. The Corticosteroid Randomization After Significant Head Injury (CRASH) and International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) models were the most externally validated among studies of severe traumatic brain injury. The results of the review showed that most publications encountered an area under the curve >= 0.70. The area under the curve meta-analysis showed similarity between the CRASH and IMPACT models and their variations for predicting mortality and unfavorable outcomes. Calibration results showed that the variations of CRASH and IMPACT models demonstrated adequate calibration in most studies for both outcomes, but without a clear indication of uncertainties in the evaluations of these models. Based on the results of this meta-analysis, the choice of prognostic models for clinical application may depend on the availability of predictors, characteristics of the population, and trauma care services.eng
dc.description.indexMEDLINEeng
dc.description.sponsorshipCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (Brasil) [001]
dc.description.sponsorshipConselho Nacional de Desenvolvimento Cientifico e Tecnologico
dc.identifier.citationNEUROCRITICAL CARE, v.37, n.3, p.790-805, 2022
dc.identifier.doi10.1007/s12028-022-01547-7
dc.identifier.eissn1556-0961
dc.identifier.issn1541-6933
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/50814
dc.language.isoeng
dc.publisherHUMANA PRESS INCeng
dc.relation.ispartofNeurocritical Care
dc.rightsrestrictedAccesseng
dc.rights.holderCopyright HUMANA PRESS INCeng
dc.subjectBrain injuryeng
dc.subjectOutcome assessmenteng
dc.subjectPredictive modelingeng
dc.subjectPrognostic modelingeng
dc.subject.othersevere head-injuryeng
dc.subject.otherexternal validationeng
dc.subject.otherinternational missioneng
dc.subject.otherclinical-trialseng
dc.subject.otherprediction modelseng
dc.subject.otherimpact modelseng
dc.subject.othercrasheng
dc.subject.othermortalityeng
dc.subject.otherrandomizationeng
dc.subject.otherscoreeng
dc.subject.wosCritical Care Medicineeng
dc.subject.wosClinical Neurologyeng
dc.titlePrognostic Models in Severe Traumatic Brain Injury: A Systematic Review and Meta-analysiseng
dc.typearticleeng
dc.type.categoryrevieweng
dc.type.versionpublishedVersioneng
dspace.entity.typePublication
hcfmusp.affiliation.countryCanadá
hcfmusp.affiliation.countryisoca
hcfmusp.author.externalVIEIRA, Rita de Cassia Almeida:CAPES Fdn, Minist Educ, Brasilia, DF, Brazil; Univ Sao Paulo, Sch Nursing, Sao Paulo, Brazil; Univ Sergipe, Nursing Postgrad Program, Sao Cristovao, Sergipe, Brazil
hcfmusp.author.externalSILVEIRA, Juliana Cristina Pereira:CAPES Fdn, Minist Educ, Brasilia, DF, Brazil
hcfmusp.author.externalSOUZA, Camila Pedroso Estevam de:Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON, Canada
hcfmusp.author.externalSANTANA-SANTOS, Eduesley:Univ Sergipe, Nursing Postgrad Program, Sao Cristovao, Sergipe, Brazil
hcfmusp.author.externalSOUSA, Regina Marcia Cardoso de:CAPES Fdn, Minist Educ, Brasilia, DF, Brazil
hcfmusp.citation.scopus7
hcfmusp.contributor.author-fmusphcWELLINGSON SILVA PAIVA
hcfmusp.contributor.author-fmusphcDANIEL VIEIRA DE OLIVEIRA
hcfmusp.description.beginpage790
hcfmusp.description.endpage805
hcfmusp.description.issue3
hcfmusp.description.volume37
hcfmusp.origemWOS
hcfmusp.origem.pubmed35941405
hcfmusp.origem.scopus2-s2.0-85135581428
hcfmusp.origem.wosWOS:000837590400002
hcfmusp.publisher.cityTOTOWAeng
hcfmusp.publisher.countryUSAeng
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