We are analyzing https://link.springer.com/article/10.1007/s00268-009-0302-1.

Title:
Prognostic Significance of Host- and Tumor-Related Factors in Patients with Gastric Cancer | World Journal of Surgery
Description:
Background Various factors regarding the biological state of tumors or the nutritional status of patients have been reported individually to correlate with prognosis. Identification of defined patient groups based on a prognostic score may improve the prediction of survival and individualization of therapy. The aim of the present study was to identify clinically useful parameters obtainable before treatment that could be used for predicting clinical outcomes in patients with gastric cancer. Methods In 357 consecutive patients who had been treated for potentially curable gastric cancer, we retrospectively analyzed the following clinicopathological factors: sex, age, body mass index, body weight changes, hemoglobin, white blood cell count, neutrophil to lymphocyte (N/L) ratio, serum C-reactive protein (CRP), serum albumin, serum cholinesterase, tumor location, tumor size, histology, and clinical tumor node metastasis (TNM) stage. Factors related to prognosis were evaluated by univariate and multivariate analysis. Results From univariate analysis, significant differences in survival were found for age, hemoglobin, N/L ratio, serum CRP, serum albumin, serum cholinesterase, tumor size, and clinical T and N grouping. N/L ratio, tumor size, and clinical T grouping were identified as independent prognostic indicators in multivariate analysis. A prognostic score was constructed using these variables to estimate the probability of death. The model gave an area under the receiver operating characteristic curve of 0.85 for prediction of death at 5 years. Conclusions This model based on N/L ratio, tumor size, and clinical T grouping before treatment offers a very informative scoring system for predicting prognosis of gastric cancer.
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cancer, article, gastric, google, scholar, pubmed, prognostic, cas, patients, ratio, tumor, surg, surgery, factors, survival, clinical, size, analysis, score, serum, access, privacy, cookies, content, journal, prognosis, publish, search, world, mohri, based, treatment, curative, undergoing, resection, ann, oncol, mie, data, information, log, research, december, yasuhiko, tanaka, ohi, patient, prediction, potentially, cell,

Topics {✒️}

c-reactive protein/albumin ratio month download article/chapter serum c-reactive protein takeshi yokoe & chikao miki inflammation-based prognostic score molecular-pathological prognostic factors full article pdf article world journal privacy choices/manage cookies patient prognosis english language publications related subjects gastric cancer surgery gastric cancer published advanced gastric cancer early gastric cancer resectable gastric cancer takahashi dm jr cancer-specific survival tumor-related factors renal cell cancer pathological prognostic factors independent prognostic indicators clinicopathologic prognostic features surgery yasuhiko mohri preoperative staging systemic inflammatory response check access instant access patients undergoing resection relevant prognostic factors prognostic score gastric cancer patients advanced ovarian cancer gastro-oesophageal cancer epithelial ovarian cancer prognostic scoring model informative scoring system mortality risk stratification survival outcomes based simple prognostic indicator pre-treatment neutrophil conditions privacy policy article mohri body mass index single institute experience 5-year survival rates lymphocyte counts—rapid journal finder publish accepting optional cookies

Questions {❓}

Balkwill F, Mantovani A (2000) Inflammation and cancer: back to Virchow?
Jun KH, Junq H, Baek JM et al (2009) Does tumor size have an impact on gastric cancer?
Yokota T, Ishiyama S, Saito T et al (2002) Is tumor size a prognostic indicator for gastric carcinoma?

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         description:Various factors regarding the biological state of tumors or the nutritional status of patients have been reported individually to correlate with prognosis. Identification of defined patient groups based on a prognostic score may improve the prediction of survival and individualization of therapy. The aim of the present study was to identify clinically useful parameters obtainable before treatment that could be used for predicting clinical outcomes in patients with gastric cancer. In 357 consecutive patients who had been treated for potentially curable gastric cancer, we retrospectively analyzed the following clinicopathological factors: sex, age, body mass index, body weight changes, hemoglobin, white blood cell count, neutrophil to lymphocyte (N/L) ratio, serum C-reactive protein (CRP), serum albumin, serum cholinesterase, tumor location, tumor size, histology, and clinical tumor node metastasis (TNM) stage. Factors related to prognosis were evaluated by univariate and multivariate analysis. From univariate analysis, significant differences in survival were found for age, hemoglobin, N/L ratio, serum CRP, serum albumin, serum cholinesterase, tumor size, and clinical T and N grouping. N/L ratio, tumor size, and clinical T grouping were identified as independent prognostic indicators in multivariate analysis. A prognostic score was constructed using these variables to estimate the probability of death. The model gave an area under the receiver operating characteristic curve of 0.85 for prediction of death at 5 years. This model based on N/L ratio, tumor size, and clinical T grouping before treatment offers a very informative scoring system for predicting prognosis of gastric cancer.
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