Trial reportJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2022
Screening of Hepatocellular Carcinoma Patients with High Risk of Early Recurrence After Radical Hepatectomy Using a Nomogram Model Based on the γ-Glutamyl Transpeptidase-to-Albumin Ratio.
Trial report in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 6 citations in OpenAlex.
- Nomogram model based on γ-glutamyl transferase to albumin ratio predicts survival in hepatocellular carcinoma patients with transarterial chemoembolization treatment.World journal of gastrointestinal oncology · 2024Article
- Establishing and Externally Validating a Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) Score-Based Nomogram for Predicting Early Recurrence in BCLC Stage 0/A Hepatocellular Carcinoma Patients After Radical Liver Resection: A Multi-Center Study.Journal of hepatocellular carcinoma · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
background and purposeThe present study aimed to establish a γ-glutamyl transpeptidase-to-albumin ratio (GAR)-based nomogram model to predict early recurrence of hepatocellular carcinoma (HCC) after radical surgery.
methodsPatients enrolled in this study were randomly allocated into a train and validation cohort in a ratio of 7:3. The Least Absolute Shrinkage and Selection Operator (LASSO) proportional hazards model and cox regression model were combined to identify independent risk factors related to HCC recurrence. Based on these risk factors, a predictive nomogram was constructed and validated in both inner and outer test cohorts. The performance of the nomogram was evaluated by C-index, the area under the receiver operating characteristic curve (AUC), the calibration curve and decision curve analysis.
resultsThe tumor size, tumor number, BCLC stage, microvascular invasion (MVI) and GAR value were identified as independent risk factors related to HCC recurrence and used to construct the predictive nomogram. AUC of the nomogram showed satisfactory accuracy in predicting 1-, 3- and 5-year disease-free survival. The calibration curve showed agreement between the ideal and predicted values. The risk score more than 72 as calculated by the nomogram was related to early recurrence of HCC after radical surgery. DCA plots showed better clinical usability of the nomogram as compared with the BCLC staging system in all three included cohorts.
conclusionThe nomogram based on the GAR value may provide a new option for screening of the target HCC cohort of patients who need anti-recurrence therapy after surgery.
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.