Hepatocellular Carcinoma Risk Scores Predict Patients Under Surveillance at Low Risk of Benefit and High Risk of Harm.
Alpha-fetoprotein
Cancer
Cirrhosis
Liver disease
Negative predictive value
Positive predictive value
Scotland
Screening
Strategy
Ultrasound
Journal
Digestive diseases and sciences
ISSN: 1573-2568
Titre abrégé: Dig Dis Sci
Pays: United States
ID NLM: 7902782
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
received:
14
04
2022
accepted:
11
10
2022
pubmed:
15
11
2022
medline:
16
3
2023
entrez:
14
11
2022
Statut:
ppublish
Résumé
Surveillance for hepatocellular carcinoma (HCC) is recommended for patients with cirrhosis. Multiple risk scores aim to stratify HCC risk, potentially allowing individualized surveillance strategies. We sought to validate four risk scores and quantify the consequences of surveillance via the calculation of numbers needed to benefit (NNB) and harm (NNH) according to classification by risk score strata. Data were collected on 482 patients with cirrhosis during 2013-2014, with follow-up until 31/12/2019. Risk scores (aMAP, Toronto risk index, ADRESS HCC, HCC risk score) were derived from index clinic results. The area under the receiving operating characteristic curve (AUC) was calculated for each. Additionally, per-risk strata, NNB was calculated as total surveillance ultrasounds per surveillance diagnosed early HCC (stage 0/A) and NNH as total ultrasounds performed per false positive (abnormal surveillance with normal follow-up imaging). 22 (4.6%) patients developed HCC. 77% (17/22) were diagnosed through surveillance, of which 13/17 (76%) were early stage. There were 88 false positives and no false negatives (normal surveillance result however subsequent HCC detection). Overall NNB and NNH were 241 and 36, respectively. No score was significantly superior using AUC. Patients classified as low risk demonstrated no surveillance benefit (AMAP, THRI) or had a high NNB of > 300/900 (ADRESS HCC, HCC risk score), with low NNH (24-38). Given the lack of benefit and increased harm through false positives in low-risk groups, a risk-based surveillance strategy may have the potential to reduce patient harm and increase benefit from HCC surveillance. This was not a clinical trial and the study was not pre-registered.
Identifiants
pubmed: 36376575
doi: 10.1007/s10620-022-07731-1
pii: 10.1007/s10620-022-07731-1
doi:
Substances chimiques
alpha-Fetoproteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
770-777Commentaires et corrections
Type : CommentIn
Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Références
EASL–EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma. Eur J Cancer. 2012 Mar 1;48(5):599–641.
Marrero JA, Kulik LM, Sirlin CB, Zhu AX, Finn RS, Abecassis MM et al. Diagnosis, Staging, and Management of Hepatocellular Carcinoma: 2018 Practice Guidance by the American Association for the Study of Liver Diseases. Hepatology. 2018;68:723–750.
doi: 10.1002/hep.29913
pubmed: 29624699
Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med. 2014;11:e1001624.
doi: 10.1371/journal.pmed.1001624
pubmed: 24691105
pmcid: 3972088
Chen VL, Singal AG, Tapper EB, Parikh ND. Hepatocellular carcinoma surveillance, early detection and survival in a privately insured US cohort. Liver Int. 2020;40:947–955.
doi: 10.1111/liv.14379
pubmed: 31943689
pmcid: 8047296
Sarasin FP, Giostra E, Hadengue A. Cost-effectiveness of screening for detection of small hepatocellular carcinoma in western patients with Child-Pugh class A cirrhosis. Am. J. Med. 1996;101:422–434.
doi: 10.1016/S0002-9343(96)00197-0
pubmed: 8873514
Haq MI, Drake TM, Goh TL, Ahmed A, Forrest E, Barclay S et al. Effect of Hepatocellular Carcinoma Surveillance Programmes on Overall Survival in a Mixed Cirrhotic UK Population: A Prospective, Longitudinal Cohort Study. J Clin Med Res. 2021. https://doi.org/10.3390/jcm10132770 .
doi: 10.3390/jcm10132770
pubmed: 34007361
pmcid: 8110221
Jepsen P, West J. We need stronger evidence for (or against) hepatocellular carcinoma surveillance. J. Hepatol. 2021. https://doi.org/10.1016/j.jhep.2020.12.029 .
doi: 10.1016/j.jhep.2020.12.029
pubmed: 34039490
Atiq O, Tiro J, Yopp AC, Muffler A, Marrero JA, Parikh ND et al. An assessment of benefits and harms of hepatocellular carcinoma surveillance in patients with cirrhosis. Hepatology 2017;65:1196–1205.
doi: 10.1002/hep.28895
pubmed: 27775821
Taylor EJ, Jones RL, Guthrie JA, Rowe IA. Modeling the benefits and harms of surveillance for hepatocellular carcinoma: information to support informed choices. Hepatology 2017;66:1546–1555.
doi: 10.1002/hep.29315
pubmed: 28605060
Konerman MA, Verma A, Zhao B, Singal AG, Lok AS, Parikh ND. Frequency and outcomes of abnormal imaging in patients with cirrhosis enrolled in a hepatocellular carcinoma surveillance program. Liver Transpl. 2019;25:369–379.
doi: 10.1002/lt.25398
pubmed: 30582779
pmcid: 6395491
Vilar-Gomez E, Calzadilla-Bertot L, Wai-Sun Wong V, Castellanos M, Aller-de la Fuente R, Metwally M et al. Fibrosis severity as a determinant of cause-specific mortality in patients with advanced nonalcoholic fatty liver disease: a Multi-National Cohort Study. Gastroenterology 2018;155:443-457.e17.
doi: 10.1053/j.gastro.2018.04.034
pubmed: 29733831
Bolondi L, Gaiani S, Casali A, Serra C, Piscaglia F. Screening for the early diagnosis of hepatocellular carcinoma: cost-effectiveness analysis. Radiol. Med. 1997;94:4–7.
pubmed: 9424649
NICE. Cirrhosis in the over 16s - NICE Guideline 50 [Internet]. NICE; 2016 Jul. Report No.: NG50. Available from: https://www.nice.org.uk/guidance/ng50/evidence/full-guideline-2546537581
Fan R, Papatheodoridis G, Sun J, Innes H, Toyoda H, Xie Q et al. aMAP risk score predicts hepatocellular carcinoma development in patients with chronic hepatitis. J. Hepatol. 2020;73:1368–1378.
doi: 10.1016/j.jhep.2020.07.025
pubmed: 32707225
Flemming JA, Yang JD, Vittinghoff E, Kim WR, Terrault NA. Risk prediction of hepatocellular carcinoma in patients with cirrhosis: the ADRESS-HCC risk model. Cancer 2014;120:3485–3493.
doi: 10.1002/cncr.28832
pubmed: 25042049
Ioannou GN, Green P, Kerr KF, Berry K. Models estimating risk of hepatocellular carcinoma in patients with alcohol or NAFLD-related cirrhosis for risk stratification. J. Hepatol. 2019;71:523–533.
doi: 10.1016/j.jhep.2019.05.008
pubmed: 31145929
pmcid: 6702126
Ioannou GN, Tang W, Beste LA, Tincopa MA, Su GL, Van T et al. Assessment of a deep learning model to predict hepatocellular carcinoma in patients with Hepatitis C cirrhosis. JAMA Netw. Open. 2020;3:e2015626.
doi: 10.1001/jamanetworkopen.2020.15626
pubmed: 32870314
pmcid: 7489819
Sharma SA, Kowgier M, Hansen BE, Brouwer WP, Maan R, Wong D et al. Toronto HCC risk index: a validated scoring system to predict 10-year risk of HCC in patients with cirrhosis. J. Hepatol. 2017. https://doi.org/10.1016/j.jhep.2017.07.033 .
doi: 10.1016/j.jhep.2017.07.033
pubmed: 29031907
Goossens N, Singal AG, King LY, Andersson KL, Fuchs BC, Besa C et al. Cost-effectiveness of risk score-stratified hepatocellular carcinoma screening in patients with cirrhosis. Clin. Transl. Gastroenterol. 2017;8:e101.
doi: 10.1038/ctg.2017.26
pubmed: 28640287
pmcid: 5518949
Ioannou GN, Green PK, Beste LA, Mun EJ, Kerr KF, Berry K. Development of models estimating the risk of hepatocellular carcinoma after antiviral treatment for hepatitis C. J. Hepatol. 2018;69:1088–1098.
doi: 10.1016/j.jhep.2018.07.024
pubmed: 30138686
pmcid: 6201746
Jepsen P, Ott P, Andersen PK, Sørensen HT, Vilstrup H. Clinical course of alcoholic liver cirrhosis: a Danish population-based cohort study. Hepatology 2010;51:1675–1682.
doi: 10.1002/hep.23500
pubmed: 20186844
Roskilly A, Rowe IA. Surveillance for hepatocellular cancer. Clin. Med. 2018;18:s66–s69.
doi: 10.7861/clinmedicine.18-2-s66
Cucchetti A, Trevisani F, Pecorelli A, Erroi V, Farinati F, Ciccarese F et al. Estimation of lead-time bias and its impact on the outcome of surveillance for the early diagnosis of hepatocellular carcinoma. J. Hepatol. 2014;61:333–341.
doi: 10.1016/j.jhep.2014.03.037
pubmed: 24717522
Thompson Coon J, Rogers G, Hewson P, Wright D, Anderson R, Jackson S et al. Surveillance of cirrhosis for hepatocellular carcinoma: a cost-utility analysis. Br. J. Cancer 2008;98:1166–1175.
doi: 10.1038/sj.bjc.6604301
pubmed: 18382459
pmcid: 2359641
Scottish Index of Multiple Deprivation 2016 [Internet]. [cited 2021 Apr 23]. Available from: https://www.gov.scot/collections/scottish-index-of-multiple-deprivation-2020/
Hutchinson SJ, Roy KM, Wadd S, Bird SM, Taylor A, Anderson E, Shaw L, Codere G, Goldberg DJ. Hepatitis C Virus infection in Scotland: epidemiological review and public health challenges. Scot. Med. J. 2006;51:8–15.
doi: 10.1258/RSMSMJ.51.2.8
pubmed: 16722130
Giles L RE. Monitoring and Evaluating Scotland’s Alcohol Strategy: Monitoring Report 2020 [Internet]. Public Health Scotland; 2020. Available from: https://www.careknowledge.com/media/47431/mesas-monitoring-report-2020.pdf
Kim NJ, Rozenberg-Ben-Dror K, Jacob DA, Rich N, Singal AG, Aby ES et al. Provider attitudes toward risk-based hepatocellular carcinoma surveillance in patients with cirrhosis in the United States. Clin. Gastroenterol. Hepatol. 2020;20:183–193.
doi: 10.1016/j.cgh.2020.09.015
pubmed: 32927050
pmcid: 8657369
Petrasek J, Singal AG, Rich NE. Harms of hepatocellular carcinoma surveillance. Curr. Hepatol. Rep. 2019;18:383–389.
doi: 10.1007/s11901-019-00488-8
pubmed: 33214987
pmcid: 7673298
Vermeer NCA, Snijders HS, Holman FA, Liefers GJ, Bastiaannet E, van de Velde CJH et al. Colorectal cancer screening: systematic review of screen-related morbidity and mortality. Cancer Treat Rev. 2017;54:87–98.
doi: 10.1016/j.ctrv.2017.02.002
pubmed: 28236723
ClinicalTrials.gov [Internet]. Bethesda (MD): National Library of Medicine (US). Identifier NCT03756051, Harms of Hepatocellular Carcinoma Surveillance, 2018 Nov 28 [cited 2022 Jun 21]. Available from: https://clinicaltrials.gov/ct2/show/NCT03756051
Bird TG, Dimitropoulou P, Turner RM, Jenks SJ, Cusack P, Hey S et al. Alpha-Fetoprotein detection of hepatocellular carcinoma leads to a standardized analysis of dynamic AFP to improve screening based detection. PLoS ONE 2016;11:e0156801.
doi: 10.1371/journal.pone.0156801
pubmed: 27308823
pmcid: 4911090
Zhao C, Jin M, Le RH, Le MH, Chen VL, Jin M et al. Poor adherence to hepatocellular carcinoma surveillance: a systematic review and meta-analysis of a complex issue. Liver Int. 2018;38:503–514.
doi: 10.1111/liv.13555
pubmed: 28834146
Cucchetti A, Garuti F, Pinna AD, Trevisani F, Italian Liver Cancer (ITA.LI.CA) Group. Length time bias in surveillance for hepatocellular carcinoma and how to avoid it. Hepatol .Res. 2016;46:1275–80.
doi: 10.1111/hepr.12672
pubmed: 26879882