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- W3030038086 abstract "ObjectiveWe reviewed our experience in the treatment of 299 patients with metachronous colorectal pulmonary metastases and investigated the factors affecting survival.MethodsA retrospective analysis of the records of 299 patients with metachronous pulmonary metastases from CRC was performed. All patients had undergone treatments between January 1984 and Fabruary 2011 at a single cancer center.ResultsThe univariate and multivariate analyses demonstrated the factors significantly associated with disease free interval (DFI) were pathologic stage, age, chemotherapy and R classification of primary cancer (all P<0.05). Additionally, lung metastasectomy and DFI were predictors for overall survival (OS). Kaplan-Meier survival curves showed significantly survival difference among the subgroups in accordance with these independent factors. To construct a suitable model for assessing both categorical and continuous variables, multivariate logistic regression was used to create a scoring method. The score value for every CRC patient could be calculated using corresponding clinical and pathologic parameters. The score accurately predicted the risk of recurrence (the AUC is 0.732). A novel prognostic contour map was generated using score and age for the risk assessment of pulmonary metastases.ConclusionsOld age, advanced stage and positive resection margin characterize a novel poor prognostic group in patients with CRC. The risk-stratification scheme assessed could identify patients who are likely to suffer pulmonary metastases and facilitate treatment. The prognostic contour map is appropriate for estimation of individualised outcomes.Key words: Colorectal neoplasms; Pulmonary metastases; Predictive model; Prognosis" @default.
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- W3030038086 date "2020-02-25" @default.
- W3030038086 modified "2023-09-27" @default.
- W3030038086 title "Prognostic evaluation model based on 299 patients with colorectal cancer with asynchronous lung metastasis" @default.
- W3030038086 doi "https://doi.org/10.3877/cma.j.issn.2095-3224.2020.01.004" @default.
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