O-13 PERFORMANCE OF PRE-TRANSPLANT CRITERIA IN PREDICTION OF HEPATOCELLULAR CARCINOMA PROGRESSION AND WAITLIST DROPOUT Article Swipe
Federico Piñero
,
Marcos Thompson
,
Ilka de Fátima Santana Ferreira Boin
,
Aline Lopes Chagas
,
Emilio Quiñonez
,
Carla Bermúdez
,
Mario Vilatobá
,
L. M. Freitas dos Santos
,
Margarita Anders
,
Sergio Hoyos Duque
,
Agnaldo Soares Lima
,
Josemaría Menéndez
,
Martín Padilla
,
Jaime Poníachik
,
Rodrigo Zapata
,
Martín Maraschio
,
Ricardo Chong Menéndez
,
Linda E. Muñoz‐Espinosa
,
Diego Arufe
,
Rodrigo Figueroa
,
Adriana Varón
,
Sebastián Marciano
,
Juan Mattera
,
Flair José Carrilho
,
Marcelo Silva
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.aohep.2023.101023
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.aohep.2023.101023
Introduction and Objectives: Liver transplantation (LT) selection models for hepatocellular carcinoma (HCC) have not been proposed to predict waitlist dropout due to tumor progression. This study aimed to compare the alfa-fetoprotein (AFP) model and other pre-LT models in their prediction of HCC dropout. Materials and Methods: A multicenter cohort study was conducted in 20 Latin American transplant centers, including 994 listed patients for LT with HCC from 2012 to 2018. Longitudinal tumor characteristics and patterns of progression were recorded at the time of listing, after treatments and at last follow-up over the waitlist period. Competing risk regression models were performed, and the model's discrimination was compared by estimating Harrell's adapted c-statistics. Results: HCC dropout rate was significantly higher in patients beyond [24% (95% CI 16-28)] compared to those within Milan criteria [8% (95% IC 5-12%); P<.0001], with an SHR of 3.01 (95% CI 2.03-4.47)], adjusted for waiting list time and bridging therapies (c-index 0.63 (95% CI 0.57;0.69). HCC dropout rates were higher in patients with AFP scores >2 [adjusted SHR of 3.17 (CI 2.13-4.71)], c-index of 0.71 (95% CI 0.65-0.77; P=0.09 vs. Milan). Similar discrimination power for HCC dropout was observed between the AFP score and the Metroticket 2.0 model. In patients within Milan, an AFP score >2 points discriminated two populations with a higher risk of HCC dropout [SHR 1.68 (95% CI 1.08-2.61)]. Conclusions: Pre-transplant selection models similarly predicted HCC dropout. However, the AFP model can discriminate a higher risk of dropout among patients within Milan criteria.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aohep.2023.101023
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4328054076
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4328054076Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.aohep.2023.101023Digital Object Identifier
- Title
-
O-13 PERFORMANCE OF PRE-TRANSPLANT CRITERIA IN PREDICTION OF HEPATOCELLULAR CARCINOMA PROGRESSION AND WAITLIST DROPOUTWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-03-01Full publication date if available
- Authors
-
Federico Piñero, Marcos Thompson, Ilka de Fátima Santana Ferreira Boin, Aline Lopes Chagas, Emilio Quiñonez, Carla Bermúdez, Mario Vilatobá, L. M. Freitas dos Santos, Margarita Anders, Sergio Hoyos Duque, Agnaldo Soares Lima, Josemaría Menéndez, Martín Padilla, Jaime Poníachik, Rodrigo Zapata, Martín Maraschio, Ricardo Chong Menéndez, Linda E. Muñoz‐Espinosa, Diego Arufe, Rodrigo Figueroa, Adriana Varón, Sebastián Marciano, Juan Mattera, Flair José Carrilho, Marcelo SilvaList of authors in order
- Landing page
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https://doi.org/10.1016/j.aohep.2023.101023Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.aohep.2023.101023Direct OA link when available
- Concepts
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Medicine, Hepatocellular carcinoma, Internal medicine, Dropout (neural networks), Liver transplantation, Milan criteria, Oncology, Cohort, Confidence interval, Transplantation, Gastroenterology, Machine learning, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.points | 208 |
| abstract_inverted_index.pre-LT | 35 |
| abstract_inverted_index.scores | 166 |
| abstract_inverted_index.within | 128, 202, 245 |
| abstract_inverted_index.16-28)] | 124 |
| abstract_inverted_index.5-12%); | 134 |
| abstract_inverted_index.Milan). | 182 |
| abstract_inverted_index.Similar | 183 |
| abstract_inverted_index.adapted | 109 |
| abstract_inverted_index.between | 191 |
| abstract_inverted_index.c-index | 174 |
| abstract_inverted_index.compare | 28 |
| abstract_inverted_index.dropout | 19, 113, 158, 188, 218, 242 |
| abstract_inverted_index.model's | 102 |
| abstract_inverted_index.period. | 93 |
| abstract_inverted_index.predict | 17 |
| abstract_inverted_index.waiting | 146 |
| abstract_inverted_index.(c-index | 152 |
| abstract_inverted_index.American | 55 |
| abstract_inverted_index.However, | 232 |
| abstract_inverted_index.Methods: | 45 |
| abstract_inverted_index.Results: | 111 |
| abstract_inverted_index.adjusted | 144 |
| abstract_inverted_index.bridging | 150 |
| abstract_inverted_index.centers, | 57 |
| abstract_inverted_index.compared | 105, 125 |
| abstract_inverted_index.criteria | 130 |
| abstract_inverted_index.dropout. | 42, 231 |
| abstract_inverted_index.listing, | 83 |
| abstract_inverted_index.observed | 190 |
| abstract_inverted_index.patients | 61, 119, 163, 201, 244 |
| abstract_inverted_index.patterns | 74 |
| abstract_inverted_index.proposed | 15 |
| abstract_inverted_index.recorded | 78 |
| abstract_inverted_index.waitlist | 18, 92 |
| abstract_inverted_index.Competing | 94 |
| abstract_inverted_index.Harrell's | 108 |
| abstract_inverted_index.Materials | 43 |
| abstract_inverted_index.P<.0001], | 135 |
| abstract_inverted_index.[adjusted | 168 |
| abstract_inverted_index.carcinoma | 10 |
| abstract_inverted_index.conducted | 51 |
| abstract_inverted_index.criteria. | 247 |
| abstract_inverted_index.follow-up | 89 |
| abstract_inverted_index.including | 58 |
| abstract_inverted_index.predicted | 229 |
| abstract_inverted_index.selection | 6, 226 |
| abstract_inverted_index.similarly | 228 |
| abstract_inverted_index.therapies | 151 |
| abstract_inverted_index.0.65-0.77; | 179 |
| abstract_inverted_index.estimating | 107 |
| abstract_inverted_index.performed, | 99 |
| abstract_inverted_index.prediction | 39 |
| abstract_inverted_index.regression | 96 |
| abstract_inverted_index.transplant | 56 |
| abstract_inverted_index.treatments | 85 |
| abstract_inverted_index.0.57;0.69). | 156 |
| abstract_inverted_index.Metroticket | 197 |
| abstract_inverted_index.Objectives: | 2 |
| abstract_inverted_index.multicenter | 47 |
| abstract_inverted_index.populations | 211 |
| abstract_inverted_index.progression | 76 |
| abstract_inverted_index.1.08-2.61)]. | 223 |
| abstract_inverted_index.2.03-4.47)], | 143 |
| abstract_inverted_index.2.13-4.71)], | 173 |
| abstract_inverted_index.Conclusions: | 224 |
| abstract_inverted_index.Introduction | 0 |
| abstract_inverted_index.Longitudinal | 70 |
| abstract_inverted_index.discriminate | 237 |
| abstract_inverted_index.progression. | 23 |
| abstract_inverted_index.c-statistics. | 110 |
| abstract_inverted_index.discriminated | 209 |
| abstract_inverted_index.significantly | 116 |
| abstract_inverted_index.Pre-transplant | 225 |
| abstract_inverted_index.discrimination | 103, 184 |
| abstract_inverted_index.hepatocellular | 9 |
| abstract_inverted_index.characteristics | 72 |
| abstract_inverted_index.transplantation | 4 |
| abstract_inverted_index.alfa-fetoprotein | 30 |
| cited_by_percentile_year | |
| countries_distinct_count | 8 |
| institutions_distinct_count | 25 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.04846766 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |