ArticleJournal of cancer research and clinical oncology2023
SEER-based risk stratification system for patients with primary non-cirrhotic liver cancer.
Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Postoperative Adjuvant Transcatheter Arterial Chemoembolization (TACE) for Hepatocellular Carcinoma: Patient Selection and Clinical Predictors of Therapeutic Benefit.Journal of hepatocellular carcinoma · 2026Review
- Prognosis of surgery and nomogram for patients with IIIA lung squamous cell carcinoma: a propensity score matched SEER database analysis.Journal of thoracic disease · 2025Article
- Machine learning models for predicting survival in patients of hepatocellular carcinoma with second primary malignancy.Translational cancer research · 2025Article
- Lymph node metastasis in patients with hepatocellular carcinoma using machine learning: a population-based study.Frontiers in oncology · 2025Article
- Prognostic nomogram models for predicting survival probability in elderly glioblastoma patients.Journal of cancer research and clinical oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLittle research has been done on the factors affecting the survival of patients with non-cirrhotic hepatocellular carcinoma (HCC-NCL). Our aim was to develop and validate a nomogram and a new risk stratification system that can evaluate overall survival (OS) in HCC-NCL patients.
methodsWe retrospectively analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2019 to study HCC-NCL patients. The patients were randomly split into training and validation groups at a 7:3 ratio and subjected to single-factor and multi-factor COX regression analysis. We then developed a nomogram and evaluated its accuracy and clinical validity using time-dependent ROC, DCA, and calibration curves. We compared the nomogram with the AJCC staging system by calculating C-index, NRI, and IDI. Finally, we used Kaplan-Meier curves to compare the nomogram and AJCC staging. These analyses were performed without altering the original intended meaning.
resultsAFP levels, surgical intervention, T-stage, tumor size, and M-stage were independent prognostic indicators for overall survival among the HCC-NCL population studied. We developed a nomogram based on these factors, and time-dependent ROC, calibration curves, DCA analyses, and C-index proved its accuracy. Compared to the AJCC staging system, the nomogram showed better prognostic accuracy through time-dependent ROC, DCA analyses, C-index, NRI, IDI, and Kaplan-Meier curves.
conclusionWe have developed and validated a survival nomogram applicable to HCC-NCL patients, with risk stratification. Our nomogram offers personalized treatment and management options superior to those provided by the AJCC staging system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.