ArticleScientific reports2021
Prognostic significance of preoperative systemic inflammatory biomarkers in patients with hepatocellular carcinoma after microwave ablation and establishment of a nomogram.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Constructing and validating a prognostic prediction nomogram model for hepatocellular carcinoma patients following high-intensity focused ultrasound treatment.Frontiers in oncology · 2026Article
- Development and Validation of a LASSO-RF-Cox-Derived Nomogram Incorporating Inflammatory Markers to Predict Long-Term Survival in Early-Stage Hepatocellular Carcinoma After Microwave Ablation.Journal of hepatocellular carcinoma · 2026Article
- Prognostic Significance of Complete Blood Counts-Derived Inflammatory Markers in Compensated Hepatocellular Carcinoma.Journal of inflammation research · 2026Article
- A preoperative inflammatory score-based nomogram predicts overall survival after curative hepatectomy for hepatocellular carcinoma.Discover oncology · 2025Article
- Biomarkers of Survival in Patients with Colorectal Liver Metastases Treated with Percutaneous Microwave Ablation.Cancers · 2025Article
- Development and Validation of a Nomogram to Predict the Recurrence of HCC Patients Undergoing CECT After Ablation.Journal of hepatocellular carcinoma · 2024Article
- Recurrence of Hepatocellular Carcinoma in Patients with Low Albumin-Bilirubin Grade in TACE Combined with Ablation: A Random Forest Cox Predictive Model.Journal of hepatocellular carcinoma · 2024Article
- Prognostic value of neutrophil to lymphocyte ratio and platelet counts during chemotherapy in patients with advanced gastric cancer.Saudi medical journal · 2023Article
- Construction and Verification of the Molecular Subtype and a Novel Prognostic Signature Based on Inflammatory Response-Related Genes in Uveal Melanoma.Journal of clinical medicine · 2023Article
- Prognostic implications of systemic immune-inflammation index in patients with bone metastases from hepatocellular carcinoma treated with radiotherapy.Frontiers in oncology · 2023Article
- Changes in Inflammatory Markers Predict the Prognosis of Resected Hepatocellular Carcinoma with Child-Pugh A.Current oncology (Toronto, Ont.) · 2022Article
- Nomogram to Predict the Survival of Chinese Patients with Alcohol-Related Liver Disease.Canadian journal of gastroenterology & hepatology · 2021Article
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7 authors.
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Abstract
The study aimed to evaluate the prognostic significance of preoperative systemic inflammatory biomarkers including albumin to globulin ratio (AGR), neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), and platelet to lymphocyte ratio (PLR) and establish a nomogram in hepatocellular carcinoma (HCC) patients after microwave ablation (MWA). 192 HCC patients receiving MWA as initial therapy from the first ward of hepatobiliary surgery were classified as training cohort. Whereas, 84 patients from the second of hepatobiliary surgery were classified as validation cohort. Kaplan-Meier (KM) method and univariate analyses showed that AGR, NLR, LMR, and PLR were significantly associated with OS in the training cohort. Multivariate analysis including clinicopathologic features screened out independent predictors including ascites, tumor size, cancer embolus, AGR, and PLR. Based on those variables, a nomogram for predicting OS was established. The C-index was 0.794 in the training cohort and 0.772 in the validation cohort. Calibration plots identified the nomogram performed well with an ideal model. Compared with Barcelona Clinic Liver Cancer (BCLC) staging system and simple tumor size, the nomogram showed better predictive ability. Besides, the nomogram discovered the highest diagnostic accuracy in predicting postoperative clinical outcome than the combination of the present models with tumor size. In conclusion, the constructed nomogram could accurately predict individualized survival probability and might support clinician in individual treatment optimization and clinical decision-making.
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