ArticleHepatology international2023
The MAPS-CRAFITY score: a novel efficacy predictive tool for unresectable hepatocellular carcinoma treated with targeted therapy plus immunotherapy.
Article in Hepatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 14 citations in OpenAlex.
- Overcoming immune resistance in hepatocellular carcinoma: insights into mechanisms, predictive factors, and interventional strategies.Frontiers in immunology · 2026Review
- Prognostic impact of CRAFITY score in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.iScience · 2025Article
- Prognostic model for unresectable hepatocellular carcinoma treated with transarterial therapy plus TKIs and anti-PD-1 antibodies.World journal of surgical oncology · 2025Article
- CRAFITY score and nomogram predict the clinical efficacy of lenvatinib combined with immune checkpoint inhibitors in hepatocellular carcinoma.World journal of gastroenterology · 2025Article
- CRAFITY score as a predictive marker for refractoriness to atezolizumab plus bevacizumab therapy in hepatocellular carcinoma: a multicenter retrospective study.Journal of gastroenterology · 2024Article
- Analysis of Factors Predicting the Real-World Efficacy of Atezolizumab and Bevacizumab in Patients with Advanced Hepatocellular Carcinoma.Gut and liver · 2024Article
- Pathologically successful conversion hepatectomy for advanced giant hepatocellular carcinoma after multidisciplinary therapy: A case report and review of literature.World journal of gastrointestinal oncology · 2024Article
- Prognostic model for unresectable hepatocellular carcinoma treated with dual PD-1 and angiogenesis blockade therapy.Journal for immunotherapy of cancer · 2024Article
- Nomograms confirm serum IL-6 and CRP as predictors of immune checkpoint inhibitor efficacy in unresectable hepatocellular carcinoma.Frontiers in immunology · 2024Article
- The clinical significance of sarcopenia in patients with hepatocellular carcinoma treated with lenvatinib and PD-1 inhibitors.Frontiers in immunology · 2024Article
- Associations of circulating immunomarkers with the efficacy of immunotherapy for primary hepatic carcinoma.Cancer medicine · 2023Article
- Clinical Updates for Gastrointestinal Malignancies.Journal of personalized medicine · 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
16 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundBody composition parameters (BCPs) are associated with mortality in patients with hepatocellular carcinoma (HCC). Our purpose was to develop a practical scoring model by BCP and the CRAFITY score to predict the overall survival (OS) and tumor response of patients with HCC who received targeted therapy plus immunotherapy.
methodsThis retrospective study included 265 patients with HCC who received targeted therapy plus immunotherapy at 2 centers in China from August 2018 to February 2022. Univariate and multivariate Cox regression analyses were applied to analyze clinical factors and BCP. A scoring model based on independent risk factors was developed to predict OS and tumor response. Moreover, the model's prediction was further validated by an external cohort.
resultsA total of 150 patients (55.5 ± 10.8 years) and 115 patients (55.0 ± 8.9 years) treated with lenvatinib or bevacizumab biosimilar plus anti-programmed death-1 (PD-1) antibody were included in training and validation cohorts, respectively. In the training cohort, independent predictive factors for OS included macrovascular invasion (p = 0.016), Child‒Pugh class (A vs. B, p = 0.001; A vs. C, p < 0.001), sarcopenia (p = 0.034), and the CRAFITY score (p = 0.011). Based on independent risk factors (MAcrovascular invasion, Child‒Pugh class, Sarcopenia, and the CRAFITY score) identified by multivariate analysis, a novel efficacy predictive tool named the MAPS-CRAFITY score was developed to predict OS. In all the training and validation cohorts, the OS differed significantly across the three groups based on the MAPS-CRAFITY score (< 2.1, 2.1-2.3, ≥ 2.4; p < 0.001). Moreover, the C-index of the MAPS-CRAFITY score was 0.720 and 0.761 in the training and validation cohorts, respectively. In both the validation and training cohorts, the MAPS-CRAFITY score was predictive of tumor response and disease control (p < 0.001). The AUCs of the MAPS-CRAFITY score for predicting disease control were 0.752 in the training cohort and 0.836 in the validation cohort.
conclusionsThe MAPS-CRAFITY score based on sarcopenia and the CRAFITY score is a reliable and practical tool for predicting the efficacy of targeted therapy plus immunotherapy in patients with unresectable HCC, and may help hepatologists and oncologists in clinical decision-making.
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.