Risk prediction model for early postoperative death in patients with hepatocellular carcinoma: a retrospective study based on random forest algorithm and logistic regression.
Background: At present, little is known about the risk factors of early postoperative death in patients with hepatocellular carcinoma (HCC).Methods: We collected the data of patients who were diagnosed with primary liver cancer between 2010 and 2015 in the Surveillance, Epidemiology, and End Results...
| Publicado en: | European Journal of Gastroenterology & Hepatology Vol. 34; no. 12; pp. 1247 - 1255 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Dec2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159976501&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159976501 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0954691X 8CE jtl: European Journal of Gastroenterology & Hepatology issn: 0954691X maglogo: N pubinfo: dt: Dec2022 vid: 34 iid: 12 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 159976501 159976501 NLM36165060 159976501 10.1097/MEG.0000000000002451 NLM36165060 159976501 ppf: 1247 ppct: 8 formats: tig: atl: Risk prediction model for early postoperative death in patients with hepatocellular carcinoma: a retrospective study based on random forest algorithm and logistic regression. aug: au: Gao, Yang Wu, Fu-gui Guo, Wen-bo Zheng, Hao Zhang, Lu Chen, Xiu-li Li, Man affil: Department of Epidemiology and Statistic, Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, Hebei sug: subj: Liver Neoplasms Surgery Carcinoma, Hepatocellular Pathology Liver Neoplasms Pathology Carcinoma, Hepatocellular Surgery Prognosis Logistic Regression Retrospective Design Algorithms Models, Statistical ab: Background: At present, little is known about the risk factors of early postoperative death in patients with hepatocellular carcinoma (HCC).Methods: We collected the data of patients who were diagnosed with primary liver cancer between 2010 and 2015 in the Surveillance, Epidemiology, and End Results database and further allocated them to the training set and validation set. Univariate and multivariate logistic regression analysis was used to determine the independent influencing factors of early postoperative death of HCC patients. Random forest and Least absolute shrinkage and selection operator regression analysis were used to screen out vital variables for the construction of the nomogram. It was evaluated by receiver operating characteristic curve, calibration curve and decision curve analysis.Results: A total of 4154 patients were selected in this process, including 2647 patients with postoperative early death (outcome1) and 1507 patients with liver cancer-specific postoperative early death (outcome2). Surgery method, age category, marital status and tumor grade were the risk factors for early postoperative death. As for the liver cancer-specific early postoperative death, AJCC, surgery method, chemotherapy and tumor grade were independent prognostic factors. Early death and liver cancer-specific early death nomograms have an area under curves of 0.643 and 0.679 in the training set, respectively, and 0.617 and 0.688 in the validation set. The calibration curve and decision curve analysis shows that the nomograms have good performance.Conclusion: This model provides an intuitive and practical tool for future studies based on large-scale cohorts by exploring the risk factors of early death in patients with HCCs undergoing surgery. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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