ArticleFrontiers in immunology2022
Nomogram established on account of Lasso-Cox regression for predicting recurrence in patients with early-stage hepatocellular carcinoma.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 1 of them a synthesis that pooled it.
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Who cites it
145 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Long-term outcomes of additional surgical versus nonsurgical treatment after non-curative endoscopic resection for T1 superficial esophageal cancer.International journal of surgery (London, England) · 2026Pooled it
- Deep Survival Modeling With Echocardiographic Myocardial Texture Radiomics for Prediction of Major Adverse Cardiovascular Events in Hypertrophic Cardiomyopathy.Journal of cardiovascular translational research · 2026Article
- Routine Laboratory Biomarkers for Survival Prediction After Limb-Salvage Surgery in Osteosarcoma: Development of a LASSO-Cox Prognostic Model and Internal Validation.Journal of clinical medicine · 2026Article
- Association between ePWV and delirium risk in icu sepsis patients: a retrospective analysis based on the MIMIC database and development of a predictive model.Clinics (Sao Paulo, Brazil) · 2026Article
- Study on the expression, prognostic value, and molecular mechanisms of TIMP1 in glioma.Cancer gene therapy · 2026Article
- Entosis remodels the immune microenvironment of osteosarcoma by regulating macrophage polarization: An integrated study based on multi-omics data and in vitro experiments.Translational oncology · 2026Article
- Multiple prognostic prediction models for subglottic laryngeal cancer based on machine learning.Translational cancer research · 2026Article
- Tertiary Lymphoid Structures as Predictors of Recurrence in Colorectal Cancer: Development and Validation of a Machine Learning-Based Scoring Model.Cancer medicine · 2026Article
- Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.Acta diabetologica · 2026Article
- A migration/invasion-related prognostic signature identifies and functionally validates SLC25A5 as a hub associated with spliceosome programs and invasive phenotypes in esophageal squamous cell carcinoma.Functional & integrative genomics · 2026Article
- Clinical and Pathological Characteristics and Prognosis of Breast Cancer During Pregnancy and Postpartum: A Multicenter Retrospective Study.Cancer reports (Hoboken, N.J.) · 2026Article
- An interpretable survival benefit analytics framework for optimizing cancer treatment decision-making.Medical & biological engineering & computing · 2026Article
- Machine-learning-model based tool for screening bone metastases from lung cancer patients in primary care practice.Journal of orthopaedic surgery and research · 2026Article
- Review
- Multimodal data-driven prediction of postoperative recurrence and survival in hepatocellular carcinoma: a narrative review.Journal of gastrointestinal oncology · 2026Review
- Association between platelet-albumin-bilirubin score and 30-day in-hospital mortality in patients with sepsis: evidence from a large database and machine learning modeling.BMC infectious diseases · 2026Article
- Development of a machine-learning based diagnosis procedure to distinguish aortic dissection from non-ST-elevation myocardial infarction.BMC medical informatics and decision making · 2026Article
- Lactylation-related gene signature for prognosis prediction and immune infiltration assessment in lung adenocarcinoma via bulk and single-cell RNA sequencing.Discover oncology · 2026Article
- Integrated Multi-Omics Analysis Reveals Cytokine Network Dynamics and Prognostic Signatures in Hepatitis B Virus-Associated Hepatocellular Carcinoma.Applied biochemistry and biotechnology · 2026Article
- Predictors of one-year adverse outcomes after laparoscopic resection for hepatocellular carcinoma: Development and validation of an early-warning model.World journal of gastroenterology · 2026Article
85 more citing papers are in PubMed but not listed here.
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9 authors.
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Abstract
Purpose: To investigate the risk factors for recurrence in patients with early-stage hepatocellular carcinoma (HCC) after minimally invasive treatment with curative intent, then to construct a prediction model based on Lasso-Cox regression and visualize the model built. Methods: Clinical data were collected from 547 patients that received minimally invasive treatment in our hospital from January 1, 2012, to December 31, 2016. Lasso regression was used to screen risk factors for recurrence. Then we established Cox proportional hazard regression model and random survival forest model including several parameters screened by Lasso regression. An optimal model was selected by comparing the values of C-index, then the model was visualized and the nomogram was finally plotted. Results: The variables screened by Lasso regression including age, gender, cirrhosis, tumor number, tumor size, platelet-albumin-bilirubin index (PALBI), and viral load were incorporated in the Cox model and random survival forest model (P<0.05). The C-index of these two models in the training sets was 0.729 and 0.708, and was 0.726 and 0.700 in the validation sets, respectively. So we finally chose Lasso-Cox regression model, and the calibration curve in the validation set performed well, indicating that the model built has a better predictive ability. And then a nomogram was plotted based on the model chosen to visualize the results. Conclusions: The present study established a nomogram for predicting recurrence in patients with early-stage HCC based on the Lasso-Cox regression model. This nomogram was of some guiding significance for screening populations at high risk of recurrence after treatment, by which doctors can formulate individualized follow-up strategies or treatment protocols according to the predicted risk of relapse for patients to improve the long-term prognosis.
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