DGPRI, a new liver fibrosis assessment index, predicts recurrence of AFP-negative hepatocellular carcinoma after hepatic resection: a single-center retrospective study.
In: Scientific Reports, Jg. 14 (2024-05-10), Heft 1, S. 1-14
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Zugriff:
Although patients with alpha-fetoprotein-negative hepatocellular carcinoma (AFPNHCC) have a favorable prognosis, a high risk of postoperative recurrence remains. We developed and validated a novel liver fibrosis assessment index, the direct bilirubin-gamma-glutamyl transpeptidase-to-platelet ratio (DGPRI). DGPRI was calculated for each of the 378 patients with AFPNHCC who underwent hepatic resection. The patients were divided into high- and low-score groups using the optimal cutoff value. The Lasso-Cox method was used to identify the characteristics of postoperative recurrence, followed by multivariate Cox regression analysis to determine the independent risk factors associated with recurrence. A nomogram model incorporating the DGPRI was developed and validated. High DGPRI was identified as an independent risk factor (hazard ratio = 2.086) for postoperative recurrence in patients with AFPNHCC. DGPRI exhibited better predictive ability for recurrence 1–5 years after surgery than direct bilirubin and the gamma-glutamyl transpeptidase-to-platelet ratio. The DGPRI-nomogram model demonstrated good predictive ability, with a C-index of 0.674 (95% CI 0.621–0.727). The calibration curves and clinical decision analysis demonstrated its clinical utility. The DGPRI nomogram model performed better than the TNM and BCLC staging systems for predicting recurrence-free survival. DGPRI is a novel and effective predictor of postoperative recurrence in patients with AFPNHCC and provides a superior assessment of preoperative liver fibrosis. [ABSTRACT FROM AUTHOR]
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Titel: |
DGPRI, a new liver fibrosis assessment index, predicts recurrence of AFP-negative hepatocellular carcinoma after hepatic resection: a single-center retrospective study.
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Autor/in / Beteiligte Person: | Zhang, Bolun ; Xue, Junshuai ; Xu, Bowen ; Chang, Jianping ; Li, Xin ; Huang, Zhen ; Zhao, Hong ; Cai, Jianqiang |
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Zeitschrift: | Scientific Reports, Jg. 14 (2024-05-10), Heft 1, S. 1-14 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 2045-2322 (print) |
DOI: | 10.1038/s41598-024-61615-0 |
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