Effect of nucleos (t) ide analogs on patients with intermediate and advanced hepatitis B virus-related hepatocellular carcinoma

ZW Jian, XW Wu, ZX Chen, JC Wang, JY Peng… - Digestive Diseases and …, 2019 - Springer
Liver Cancer (BCLC) stage B/C HBV-related HCC patients … every patient with chronic
hepatitis B to receive NAs therapy … was used for the propensity score analysis. All statistical tests …

Nucleos (t) ide analog therapy of chronic hepatitis B and liver cancer risk reduction: better nucleotides than nucleosides?

P Lampertico, M Colombo - Gastroenterology, 2019 - gastrojournal.org
… , the impact of multiple predictors of treatment outcome was … After matching patients by a
propensity score, the differences … analyses, which included patients matching by a propensity

Comparison of Interferon-α-based therapy and nucleos (t) ide analogs in preventing adverse outcomes in patients with chronic hepatitis B

QG Mao, HQ Liang, YL Yin, JM Tang, JE Yang… - Clinics and Research in …, 2022 - Elsevier
Propensity score matching (PSM) was used to minimize … Hepatitis B virus (HBV) infection
seriously affects the patients’ … In the multivariate analysis, IFN-α-based treatment was the only …

Impact of nucleos (t) ide analogues on the risk of hepatocellular carcinoma in chronic hepatitis B patients: A time-dependent Cox regression analysis.

…, MN Kinoshita, T Fukumoto, T Yamada, T Wake… - medRxiv, 2023 - medrxiv.org
… After propensity score matching (PSM) to balance the confounding … the effect of NA on
hepatocarcinogenesis in CHB patients … The suppressive effect of nucleos(t)ide analogue treatment

Reduced incidence of hepatocellular carcinoma in cirrhotic and noncirrhotic patients with chronic hepatitis B treated with Tenofovir—A propensity Score–Matched …

MH Nguyen, HI Yang, A Le, L Henry… - The Journal of …, 2019 - academic.oup.com
… We examined the effect of TDF on the incidence of … is now the leading cause of primary liver
cancer, the fifth most common cancer … In summary, the use of TDF in Asian patients with CHB …

Similarly low risk of hepatocellular carcinoma after either spontaneous or nucleos (t) ide analogue‐induced hepatitis B surface antigen loss

TCF Yip, VWS Wong, YK Tse, LY Liang… - Alimentary …, 2021 - Wiley Online Library
analysis, we developed propensity score (PS), the conditional probability of achieving NA-induced
HBsAg loss, to reduce the confounding effect … reason for hepatocarcinogenesis that …

Association of serum hepatitis B virus RNA with hepatocellular carcinoma risk in chronic hepatitis B patients under nucleos (t) ide analogues therapy

S Liu, R Deng, B Zhou, X Liang, Z Liu… - The Journal of …, 2022 - academic.oup.com
… In addition, using a propensity score approach, we applied stabilized inverse probability of
impact by adjusting the patients’ experienced treatment duration in the multivariate analysis. …

Comparison of nucleoside and nucleotide analogs in the recurrence of hepatitis B virus‐related hepatocellular carcinoma after surgical resection: A multicenter study

…, F Gao, S Ran, W Peng, X Zhang, T Wen… - Cancer …, 2021 - Wiley Online Library
… the effects of nucleotide analog (NtA) and nucleoside analog (NsA) antiviral … Propensity
scores were calculated using the following 20 variables: age, sex, Barcelona Clinic Liver Cancer (…

[HTML][HTML] Aspirin reduces the incidence of hepatocellular carcinoma in patients with chronic hepatitis B receiving oral nucleos (t) ide analog

VWK Hui, TCF Yip, VWS Wong, YK Tse… - Clinical and …, 2021 - journals.lww.com
… the impact of aspirin on reducing HCC risk in patients treated … Therefore, we developed
propensity score (PS), the … , and proliferation of liver cancer cells. All these mechanistic …

Risk factors for the development of liver cancer in patients with hepatitis B-related liver cirrhosis treated with long-term nucleos (t) ide analogues

WW Zang, MH Su, XZ Ling, RM Wang… - Zhonghua gan Zang …, 2020 - europepmc.org
… and liver cirrhosis who received antiviral therapy in the Department of Infectious … liver
cancer. Multivariable Cox regression model was used to analyze the risk factors that may affect