2021
DOI: 10.1016/j.hpb.2020.09.014
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BALAD and BALAD-2 predict survival of hepatocellular carcinoma patients: a North American cohort study

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Cited by 14 publications
(16 citation statements)
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“… 34 Otherwise, among these algorithms, Balad scores exhibit promising results regarding their predictive value of overall survival in patients with HCC. 35 These latter scores require further validation, but it would be interesting to compare their performances to the results obtained with HSPG-related biomarkers revealed from our study in patients with advanced HCC.…”
Section: Discussionmentioning
confidence: 83%
“… 34 Otherwise, among these algorithms, Balad scores exhibit promising results regarding their predictive value of overall survival in patients with HCC. 35 These latter scores require further validation, but it would be interesting to compare their performances to the results obtained with HSPG-related biomarkers revealed from our study in patients with advanced HCC.…”
Section: Discussionmentioning
confidence: 83%
“…The usefulness of incorporating all 3 biomarkers with relevant clinical characteristics has been previously shown through the gender, age, AFP-L3, AFP, and DCP model (gender, age, AFP-L3, AFP, and DCP) to predict the presence of any HCC 12,13 as well as early-stage HCC 26 . Similarly, the validated BALAD score (bilirubin, albumin, AFP-L3, AFP, and DCP) has been shown to predict HCC-related survival 23 . Therefore, in the present study, we assessed the association of BALAD score with waitlist dropout risk.…”
Section: Discussionmentioning
confidence: 91%
“…Cox proportional hazards models estimated the risk of waitlist dropout with HR and 95% CI for each explanatory variable as well as separately for the validated BALAD score, which includes bilirubin, albumin, AFP-L3, AFP, and DCP. [23] Multiple cutoffs for AFP ( ≥ 20, ≥ 100, ≥ 250 ng/mL), AFP-L3 ( ≥ 15% and ≥ 35%), and DCP ( ≥ 7.5 ng/mL) were tested. [6,20,21] Factors with a univariate p value less than 0.1 were evaluated in the multivariable analysis with the final model selected by backward elimination (p for removal greater than 0.05).…”
Section: Outcomes and Statistical Analysismentioning
confidence: 99%
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“…To address the diverse biomarker phenotypes, the numerical accumulation of biomarkers was utilized as recently described [ 19 ] and consistent with their use in the BALAD and GALAD prognosis/surveillance indices [ 18 , 44 , 45 ]. Biomarker accumulation was not associated with demographic or etiological factors.…”
Section: Discussionmentioning
confidence: 99%