Tìm thấy 15+ kết quả cho từ khóa "Prognostic nomogram"
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An 11-miRNA risk signature and a prognostic nomogram were constructed based on the expression levels of these 11 DEMs and clinical information. The results of the internal validation cohort shown the reliable predictive accuracy both of the miRNA-based signature and the prognostic nomogram. Conclusion: Overall, we constructed an 11-miRNA-based signature and a prognostic nomogram with excellent accuracy for predicting the OS of patients with HNSCC..
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The prognostic nomogram integrating all the signifi- cant independent predictors of the overall survival iden- tified by the multivariate analysis is shown in Fig. The values of the C–index (bootstrapping 95% confidence intervals [CIs]) of the prognostic nomogram for overall survival prediction were . The errors for 90% of the study population were within and 0.08, respectively..
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The above-mentioned prognostic factors of CSS and OS were included to create prognostic nomograms to evaluate the 3-year-and 5-year OS and CSS of HCC patients who underwent RFA (Fig. In the nomogram, each factor within these variables was assigned a score on the point scale. Calibration and validation of the nomogram. In the internal verification co- hort, the bootstrap-corrected concordance indices of the OS and CSS nomograms were CI and respect- ively.
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We then established and validated a novel promising prognostic nomogram through combining ARGs signature and clinical parameters.. The C-index of the nomogram was 0.717 in TCGA training cohort and 0.738 in GEO validation cohort. Conclusion: We firstly developed and validated an ARGs signature based-nomogram for individualized prognosis prediction in melanoma patients, which could assist with decision making for clinicians..
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We constructed the prognostic nomogram using pop- ulation-based data to estimate the survival outcomes of patients with NECC. NECC: Neuroendocrine cervical carcinoma. the histogram and survival curves were represented based on cut‑off points (B, C). acterisitcs of patients with NECC form the Wenling Maternal and Child Health Care Hospital dataset.
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Purpose: Aims to compare the prognostic performance of the number of positive lymph nodes (PLNN), lymph node ratio (LNR) and log odds of metastatic lymph nodes (LODDS) and establish a prognostic nomogram to predict overall survival (OS) rate for patients with endometrial carcinosarcoma (ECS).. The clinical practical usefulness of the prediction model was valued by decision curve analysis (DCA) through quantifying its net benefits.. The C-index of the nomogram was 0.743 in the training cohort.
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Additionally, independ- ent prognostic factors were incorporated to construct the prognostic nomogram, and the area under the receiver operating characteristic (ROC) curve (AUC) value was calculated to analyze the prognostic predictive ability of the nomogram.. Results: In the primary cohort, Kaplan–Meier survival analysis indicated that the overall survival (OS) for patients with MPV/PC ≤ 0.41 was significantly lower than that in patients with MPV/PC >.
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Development and valida- tion of a prognostic nomogram for predicting post-operative pulmonary infection in gastric cancer patients following radical gastrectomy
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Development of a nomogram for predicting the presence of combined pulmonary fibrosis and emphysema. Background: In the clinical management of patients with combined pulmonary fibrosis and emphysema (CPFE), early recognition and appropriate treatment is essential. This study was designed to develop an accurate prognostic nomogram model to predict the presence of CPFE..
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A: Expression pattern of the six prognostic genes between tumor and normal bladder tissue. 7J), while in the T3/4 group, the patients with the high-risk score have worse OS (Fig. Construction and validation of the gene-based nomogram. The calibration plot for pa- tient survival prediction suggested that the predicted outcome of the six-gene prognostic nomogram showed consistency with the actual outcome (Fig.
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Development and validation of two prognostic nomograms for predicting survival in patients with non-small cell and small cell lung cancer. https://doi.org/10.18632/oncotarget.19791.. Prognostic factors for survival in extensive stage small cell lung cancer (ED-SCLC): the importance of smoking history, socioeconomic and marital statuses, and ethnicity. https://doi.org/10.1097/JTO.0b013e31819140fb.. Comprehensive genomic profiles of small cell lung cancer. https://doi.org/10.1038/nature14664..
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D New tumor grading system based on current grading system and the ferroptosis-related prognosis model.. 5 Construction and evaluation of a predictive nomogram in the TCGA cohort. A Nomogram based on FRG score and clinicopathologic factors for OS prediction of ccRCC patients. B Evaluation of the prognostic nomogram model for 1-, 3- and 5-year OS prediction. C Decision curve analysis compared OS benefits among the nomogram with or without FRG score. ccRCC, clear cell renal cell carcinoma;.
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The value of red blood cell distribution width in the staging prognostic of multiple myeloma [J]. Prognostic nomogram integrated systemic inflammation score for patients with esophageal squamous cell carcinoma undergoing radical esophagectomy. https://doi.. org/10.1038/srep18811.. Analysis of the fibrinogen and neutrophil-lymphocyte ratio in esophageal squamous cell carcinoma: a promising blood marker of tumor progression and prognosis. https://doi.org/10.1 097/MD .
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Moreover, by univariate and multivariate Cox regression, we confirmed the independent prognostic ability of the 11-gene module for patients with HCC. In addition, calibration analysis plots indicated the excellent predictive performance of the prognostic nomogram constructed based on the 11- gene signature..
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A contemporary prognostic nomogram for men with hormone- refractory metastatic prostate cancer: a TAX327 study analysis. https://doi.org CCR-07-1036.. Updated prognostic model for predicting overall survival in first-line chemotherapy for patients with metastatic castration-resistant prostate cancer. Circulating tumor cells in patients with castration-resistant prostate cancer baseline values and correlation with prognostic factors. https://doi.org EPI-08-1173..
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Collectively, the results of the nomogram constructed by the factors of age, postoperative adjuvant systemic chemotherapy, the PNI, and the LNR may serve. 5 Comparison of the performance of the nomogram and AJCC stage by AUC at 1 and 3 years in primary set (a) and validation set (b). as a proposal of prognostic importance for adenocarcin- oma of the pancreatic head patients..
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In the multivariate Cox regression analysis, four parameters were defined as independent prognostic factors of RFS:. Establishment of the nomogram. According to the results of the multivariate Cox regres- sion analysis, T stage, ALB, WHO histologic types, and NLR were defined as independent prognostic factors, and these factors were integrated to form a nomogram (Fig. In the training cohort, the C index was CI .
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Construction of three-DMSs signature-based nomogram Multivariate Cox analysis indicated that three variables (age, stage, and three-DMSs risk score) were independ- ent risk factors for OS. 4 Construction of the three-DMSs prognostic signature in TCGA-LUAD cohort. a Kaplan-Meier curve of the overall survival for high-risk and low-risk scores ranking by the three-DMSs prognostic signature. c Risk score distribution, survival status and methylation heat map of three DMSs corresponding to each sample
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In the two nomogram models, the com- bined predictive models showed better clinical utility than the predictive value of any single variable (Fig. 1 Baseline nomogram, used to predict 1-year and 2-year survival rate in patients with advanced and metastatic pancreatic cancer, created using four independent prognostic factors.
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Performance and validation of the nomogram for predicting brain metastases. The prediction nomogram that integrated all significant factors for brain metastases in the multivariable logistic regression model was developed and presented in Fig. The calibration curve demonstrated good agreement be- tween the predicted and observed probabilities for brain metastases for esophageal cancer patients (Fig. Survival and prognostic factors for esophageal cancer patients with brain metastases.