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您的检索式：作者名="Edouard Larrey"
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| 1 | Expected outcomes and patients’selection before chemoembolization—“Six-and-Twelve or Pre-TACE-Predict”scores may help clinicians:Real-life French cohorts results显示文摘BACKGROUND Careful selection of hepatocellular carcinoma(HCC)patients prior to chemoembolization treatment is a daily reality,and is even more necessary with new available therapeutic options in HCC.To propose two new models to better stratify patients and maximize clinical benefit:“6 and 12”and“pre/post-TACE-predict”(TACE,transarterial chemoembolization).METHODS We evaluated and compared their performance in predicting overall survival with other systems{Barcelona Clinic Liver Cancer(BCLC),Albumin-Bilirubin(ALBI)and NIACE[Number of tumor(s),Infiltrative HCC,alpha-fetoprotein,Child-Pugh(CP),and performance status]}in two HCC French cohorts of different stages enrolled between 2010 and 2018.RESULTS The cohorts included 324 patients classified as BCLC stages A/B(cohort 1)and 137 patients classified as BCLC stages B/C(cohort 2).The majority of the patients had cirrhosis with preserved liver function.“Pre-TACE-predict”and“6 and 12”models identified three distinct categories of patients exhibiting different prognosis in cohort 1.However,their prognostic value was no better than the BCLC system or NIACE score.Liver function based on CP and ALBI grades significantly impacted patient survival.Conversely,the“post-TACE-predict”model had a higher predictive value than other models.The stratification ability as well as predictive performance of these new models in an intermediate/advanced stage population was less efficient(cohort 2).CONCLUSION The newly proposed“Pre-TACE-predict”and“6 and 12”models offer an interesting stratification into three categories in a recommended TACE population,as they identify poor candidates,those with partial control and durable response.The models'contribution was reduced in a population with advanced stage HCCs. | Xavier Adhoute Edouard Larrey Rodolphe Anty Patrick Chevallier Guillaume Penaranda Albert Tran Jean-Pierre Bronowicki Jean-Luc Raoul Paul Castellani HervéPerrier Olivier Bayle Olivier Monnet Bernard Pol Marc Bourliere | 2021 | World Journal of Clinical Cases2021，9，18： | 0 |
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