ArticleBMC cancer2024
Nomogram incorporating preoperative pan-immune-inflammation value and monocyte to high-density lipoprotein ratio for survival prediction in patients with colorectal cancer: a retrospective study.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic significance of the pretreatment pan-immune-inflammation value in colorectal cancer patients: an updated meta-analysis.Frontiers in oncology · 2025Pooled it
- Pan-immune-inflammation value as a novel prognostic biomarker for digestive system cancers: a meta-analysis.World journal of surgical oncology · 2024Pooled it
- Development and Validation of a Predictive Nomogram for Diagnosing Colorectal Cancer Based on Immune-Nutritional Score.Cancer medicine · 2026Article
- Skeletal Muscle Gauge and Complementary Pan-Immune-Inflammation Value for Risk Stratification of 30-Day Major Complications After Colorectal Cancer Surgery.Biomedicines · 2026Article
- Identify novel molecular subtypes of lung adenocarcinoma to predict treatment response and prognosis.Scientific reports · 2025Article
- A deep learning-based prognostic prediction model for distal cholangiocarcinoma incorporating the metabolism-inflammation marker monocyte-to-high-density lipoprotein cholesterol ratio.Translational cancer research · 2025Article
- Predictive value of the monocyte-to-high-density lipoprotein ratio in the prognosis of non-small cell lung cancer patients after surgery.Translational lung cancer research · 2025Article
- Heterogeneity of monocytes in cancer.American journal of cancer research · 2025Review
- Pan-immune-inflammation value and its association with all-cause and cause-specific mortality in the general population: a nationwide cohort study.Frontiers in endocrinology · 2025Article
- A prognostic nomogram of non-small cell lung cancer based on tumor marker inflammatory nutrition score.Translational lung cancer research · 2024Article
- Inflammatory and Metabolic Predictors of Mortality in Pulmonary Thromboembolism: A Focus on the Triglyceride-Glucose Index and Pan-Immune Inflammation Value.Journal of clinical medicine · 2024Article
- The Role of Triglyceride/HDL Ratio, Triglyceride-Glucose Index, and Pan-Immune-Inflammation Value in the Differential Diagnosis of Acute Coronary Syndrome and Predicting Mortality.Journal of clinical medicine · 2024Article
- Monocyte to high-density lipoprotein ratio based prognostic nomogram for patients following allogeneic vascular replacement pancreaticoduodenectomy.Frontiers in genetics · 2024Article
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5 authors.
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Abstract
objectiveUsing the preoperative pan-immune-inflammation value (PIV) and the monocyte to high-density lipoprotein ratio (MHR) to reflect inflammation, immunity, and cholesterol metabolism, we aim to develop and visualize a novel nomogram model for predicting the survival outcomes in patients with colorectal cancer (CRC).
methodsA total of 172 patients with CRC who underwent radical resection were retrospectively analyzed. Survival analysis was conducted after patients were grouped according to the optimal cut-off values of PIV and MHR. Univariate and multivariate analyses were performed using Cox proportional hazards regression to screen the independent prognostic factors. Based on these factors, a nomogram was constructed and validated.
resultsThe PIV was significantly associated with tumor location (P < 0.001), tumor maximum diameter (P = 0.008), and T stage (P = 0.019). The MHR was closely related to gender (P = 0.016), tumor maximum diameter (P = 0.002), and T stage (P = 0.038). Multivariate analysis results showed that PIV (Hazard Ratio (HR) = 2.476, 95% Confidence Interval (CI) = 1.410-4.348, P = 0.002), MHR (HR = 3.803, 95%CI = 1.609-8.989, P = 0.002), CEA (HR = 1.977, 95%CI = 1.121-3.485, P = 0.019), and TNM stage (HR = 1.759, 95%CI = 1.010-3.063, P = 0.046) were independent prognostic indicators for overall survival (OS). A nomogram incorporating these variables was developed, demonstrating robust predictive accuracy for OS. The area under the curve (AUC) values of the predictive model for 1-, 2-, and 3- year are 0.791,0.768,0.811, respectively. The calibration curves for the probability of survival at 1-, 2-, and 3- year presented a high degree of credibility. Furthermore, Decision curve analysis (DCA) for the probability of survival at 1-, 2-, and 3- year demonstrate the significant clinical utility in predicting survival outcomes.
conclusionPreoperative PIV and MHR are independent risk factors for CRC prognosis. The novel developed nomogram demonstrates a robust predictive ability, offering substantial utility in facilitating the clinical decision-making process.
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