ReviewJournal of hepatocellular carcinoma2023
Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review.
Review in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Gender impact on pancreatic neuroendocrine neoplasm (PanNEN) prognosis according to survival nomograms.Endocrine · 2025Pooled it
- Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.BMC cancer · 2026Article
- Prediction of short‑term drought variation in tea plantations using a LASSO-COX-NOMOGRAM approach.Scientific reports · 2026Article
- Development and validation of a prognostic model based on T cell signature genes in colon cancer using single-cell RNA sequencing.Clinical and experimental medicine · 2026Article
- Development and validation of machine learning nomograms for predicting mortality after cardiac valve surgery.Frontiers in medicine · 2026Article
- Utility of inflammatory markers as predictors of recurrence in gastrointestinal stromal tumors: Insights from a nomogram-based approach.World journal of gastrointestinal oncology · 2025Article
- Expression of PDZ domain-containing proteins is correlated with prognosis and immune infiltration in hepatocellular carcinoma.Journal of gastrointestinal oncology · 2025Article
- Identification and validation of PANoptosis-related LncRNAs prognosis system in hepatocellular carcinoma.Scientific reports · 2025Article
- Explainable machine learning to predict postoperative ileus after radical cystectomy: an 11-year real-world cohort.Frontiers in artificial intelligence · 2025Article
- CKAP4 and PLOD2 as novel prognostic biomarkers in hepatocellular carcinoma: a proteomics-driven risk stratification model.Frontiers in cell and developmental biology · 2025Article
- Development of a machine learning-based predictive model for transitional cell carcinoma of the renal pelvis in White Americans: a SEER-based study.Translational andrology and urology · 2024Article
- Nomogram-based prognostic stratification for patients with large hepatocellular carcinoma: a population study of SEER database and a Chinese cohort.Journal of gastrointestinal oncology · 2024Article
- Establishment and validation of apnea risk prediction models in preterm infants: a retrospective case control study.BMC pediatrics · 2024Article
- Article
- Risk factors influencing postoperative outcome of arthroscopic rotator cuff repair and construction of a nomogram prediction model.American journal of translational research · 2024Article
- A novel nomogram to predict the overall survival of early-stage hepatocellular carcinoma patients following ablation therapy.Frontiers in oncology · 2024Article
- A Simple Nomogram for Predicting Stroke-Associated Pneumonia in Patients with Acute Ischemic Stroke.Healthcare (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is the most prevalent primary liver malignancy, accounting for approximately 90% of all primary liver cancers, with high mortality and a poor prognosis. A large number of predictive models have been applied that integrate multiple clinical factors and biomarkers to predict the prognosis of HCC. Nomograms, as easy-to-use prognostic predictive models, are widely used to predict the probability of clinical outcomes. We searched PubMed with the keywords "hepatocellular carcinoma" and "nomogram", and 974 relative literatures were retrieved. According to the construction methodology and the real validity of the nomograms, in this study, 97 nomograms for HCC were selected in 77 publications. These 97 nomograms were established based on more than 100,000 patients, covering seven main prognostic outcomes. The research data of 56 articles are from hospital-based HCC patients, and 13 articles provided external validation results of the nomogram. In addition to AFP, tumor size, tumor number, stage, vascular invasion, age, and other common prognostic risk factors are included in the HCC-related nomogram, more and more biomarkers, including gene mRNA expression, gene polymorphisms, and gene signature, etc. were also included in the nomograms. The establishment, assessment and validation of these nomograms are also discussed in depth. This study would help clinicians construct and select appropriate nomograms to guide precise judgment and appropriate treatments.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.