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      Statin use and the risk of hepatocellular carcinoma among patients with chronic hepatitis B: an emulated target trial using longitudinal nationwide population cohort data

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          Abstract

          Background

          No randomized controlled trials have been completed to see whether statin can decrease hepatocellular carcinoma (HCC) risk in chronic hepatitis B (CHB) patients. We used large-scale, population-based, observational data to emulate a target trial with two groups, statin user and statin non-user.

          Methods

          Among 1,379,708 nonunique individuals from the Korean National Health Insurance Service data, 2,915 CHB patients with serum cholesterol level of 200 mg/dL or higher who started statin therapy and 8,525 propensity-score matched CHB patients with serum cholesterol level of 200 mg/dL or higher who did not start statin therapy were analyzed for the development of HCC. In addition, liver cancer or liver-related mortality and all-cause mortality were assessed.

          Results

          During follow-up, 207 participants developed HCC. Incidence rate of HCC was 0.2 per 1,000 person-years in the statin user group and 0.3 per 1,000 person-years in the statin non-user group. Fully adjusted hazard ratio (HR) for incident HCC comparing statin user group to statin nonuser group was 0.56 (95% confidence interval [CI]: 0.39 to 0.80). The association between statin use and decreased HCC risk was consistent in all subgroups analyzed. Fully adjusted HR comparing statin user to statin nonuser was 0.59 (95% CI: 0.35 to 0.99) for liver cancer or liver-related mortality and 0.93 (95% CI: 0.78 to 1.11) for all-cause mortality.

          Conclusions

          Statin might have a benefit for preventing HCC in CHB patients with elevated cholesterol levels. Statin should be actively considered for CHB patients with dyslipidemia.

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          Most cited references35

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          Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.

          Ideally, questions about comparative effectiveness or safety would be answered using an appropriately designed and conducted randomized experiment. When we cannot conduct a randomized experiment, we analyze observational data. Causal inference from large observational databases (big data) can be viewed as an attempt to emulate a randomized experiment-the target experiment or target trial-that would answer the question of interest. When the goal is to guide decisions among several strategies, causal analyses of observational data need to be evaluated with respect to how well they emulate a particular target trial. We outline a framework for comparative effectiveness research using big data that makes the target trial explicit. This framework channels counterfactual theory for comparing the effects of sustained treatment strategies, organizes analytic approaches, provides a structured process for the criticism of observational studies, and helps avoid common methodologic pitfalls.
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            Data Resource Profile: The National Health Information Database of the National Health Insurance Service in South Korea

            Data resource basics The National Health Information Database (NHID) is a public database on health care utilization, health screening, socio-demographic variables, and mortality for the whole population of South Korea, formed by the National Health Insurance Service. The population included in the data is over 50 million, and the participation rate in the health screening programs was 74.8% in 2014. The NHID covers data between 2002 and 2014. Those insured by NHI pay insurance contributions and receive medical services from their health care providers. The NHIS, as the single insurer, pays costs based on the billing records of health care providers (Figure 1). To govern and carry out these processes in the NHI, the NHIS built a data warehouse to collect the required information on insurance eligibility, insurance contributions, medical history, and medical institutions. In 2012, the NHIS formed the NHID using information from medical treatment and health screening records and eligibility data from an existing database system. Figure 1. The governance of the National Health Insurance of South Korea. Data collected The eligibility database includes information about income-based insurance contributions, demographic variables, and date of death. The national health screening database includes information on health behaviors and bio-clinical variables. The health care utilization database includes information on records on inpatient and outpatient usage (diagnosis, length of stay, treatment costs, services received) and prescription records (drug code, days prescribed, daily dosage). The long-term care insurance database includes information about activities of daily living and service grades. The health care provider database includes data about the types of institutions, human resources, and equipment. In the NHID, de-identified join keys replacing the personal identifiers are used to interlink these databases. Data resource use Papers published covered various diseases or health conditions like infectious diseases, cancer, cardiovascular diseases, hypertension, diabetes mellitus, and injuries and risk factors such as smoking, alcohol consumption, and obesity. The impacts of health care and public health policies on health care utilization have been also explored since the data include all the necessary information reflecting patterns of health care utilization. Reasons to be cautious First, information on diagnosis and disease may not be optimal for identifying disease occurrence and prevalence since the data have been collected for medical service claims and reimbursement. However, the NHID also collects prescription data with secondary diagnosis, so the accuracy of the disease information can be improved. Second, the data linkage with other secondary national data is not widely available due to privacy issues in Korea. Governmental discussions on the statutory reform of data linkage using the NHID are under way. Collaboration and data access Access to the NHID can be obtained through the Health Insurance Data Service home page (http://nhiss.nhis.or.kr). An ethics approval from the researchers’ institutional review board is required with submission of a study proposal, which is reviewed by the NHIS review committee before providing data. Further inquiries on data use can be obtained by contacting the corresponding author. Funding and competing interests This work was supported by the NHIS in South Korea. The authors declare no competing interests.
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              Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea.

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                Author and article information

                Contributors
                jcho@skku.edu
                gy.gwak@samsung.com
                Journal
                BMC Gastroenterol
                BMC Gastroenterol
                BMC Gastroenterology
                BioMed Central (London )
                1471-230X
                25 October 2023
                25 October 2023
                2023
                : 23
                : 366
                Affiliations
                [1 ]GRID grid.414964.a, ISNI 0000 0001 0640 5613, Department of Medicine, , Samsung Medical Center, Sungkyunkwan University School of Medicine, ; 81 Irwon-ro, Gangnam-Gu, Seoul, 06351 South Korea
                [2 ]Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, ( https://ror.org/04q78tk20) 81 Irwon-ro, Gangnam-Gu, Seoul, 06351 South Korea
                [3 ]GRID grid.414964.a, ISNI 0000 0001 0640 5613, Center for Clinical Epidemiology, , Samsung Medical Center, Sungkyunkwan University, ; Seoul, South Korea
                [4 ]GRID grid.411231.4, ISNI 0000 0001 0357 1464, Department of Internal Medicine, , Kyung Hee University Hospital, ; Seoul, Korea
                [5 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Departments of Epidemiology and Medicine, Welch Center for Prevention, Epidemiology and Clinical Research, , Johns Hopkins Medical Institutions, ; Baltimore, MD USA
                Article
                2996
                10.1186/s12876-023-02996-w
                10601275
                37880589
                b9659fcb-847b-4cc8-8db4-5411c452c873
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 29 May 2023
                : 13 October 2023
                Funding
                Funded by: The Korean Association for the Study of the Liver and The Korean Liver Foundation
                Award ID: KASL-2020-140
                Award ID: KASL-2020-140
                Award ID: KASL-2020-140
                Award ID: KASL-2020-140
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Gastroenterology & Hepatology
                chronic hepatitis b,hepatocellular carcinoma,statin
                Gastroenterology & Hepatology
                chronic hepatitis b, hepatocellular carcinoma, statin

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