Evidence map›Paper›PMID 35767258›Full record

SynthesisJAMA network open2022

Risk of Hepatocellular Carcinoma With Tenofovir vs Entecavir Treatment for Chronic Hepatitis B Virus: A Reconstructed Individual Patient Data Meta-analysis.

Darren Jun Hao Tan, Cheng Han Ng, Phoebe Wen Lin Tay, Nicholas Syn, Mark D Muthiah, Wen Hui Lim, Ansel Shao Pin Tang, Kai En Lim, Grace En Hui Lim, Nobuharu Tamaki and 6 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
8.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. Impact of tenofovirJHEP reports : innovation in hepatology · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. [Risk prediction model of hepatitis B associated hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Review
  15. Magnetic resonance elastography for the prediction of hepatocellular carcinoma in chronic hepatitis B.JGH open : an open access journal of gastroenterology and hepatology · 2024
    Article
  16. Targeting inflammation as cancer therapy.Journal of hematology & oncology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 5 countries.

Darren Jun Hao TanYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Cheng Han NgYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Phoebe Wen Lin TayYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Nicholas SynYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Mark D MuthiahYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Wen Hui LimYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Ansel Shao Pin TangYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Kai En LimYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Grace En Hui LimLee Kong Chian School of Medicine, Nanyang Technological University, Sinagpore.
Nobuharu TamakiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan.
Beom Kyung KimDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan.
Margaret Li Peng TengYong Loo Lin School of Medicine, National University of Singapore, Singapore.
James FungDivision of Liver Transplantation, Department of Surgery, Queen Mary Hospital, Hong Kong.
Rohit LoombaNAFLD (Nonalcoholic Fatty Liver Disease) Research Center, Division of Medicine, University of California, San Diego, La Jolla.
Mindie H NguyenDivision of Gastroenterology and Hepatology, Stanford University Medical Center, Palo Alto, California.
Daniel Q HuangYong Loo Lin School of Medicine, National University of Singapore, Singapore.
National University of Singapore · SGMusashino Red Cross Hospital · JPNational University Hospital · SGNanyang Technological University · SGQueen Mary Hospital · CNStanford Medicine · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Conventional meta-analyses with aggregated study-level data have yielded conflicting results for the comparative effectiveness of tenofovir disoproxil fumarate vs entecavir in reducing hepatocellular carcinoma (HCC) risk among patients with chronic hepatitis B virus. Within-study heterogeneity, between-study heterogeneity, and the inability of conventional meta-analyses to capture time-to-event data were associated with these results. Objective: To perform a reconstructed individual patient data meta-analysis of high-quality propensity score-matched studies to provide robust estimates for comparative HCC risk between groups receiving tenofovir or entecavir. Data Sources: Medline and Embase databases were searched from inception to October 6, 2021. Study Selection: The initial search yielded 3435 articles. Fourteen studies that used propensity score matching to balance baseline characteristics were included in the final analysis. Data Extraction and Synthesis: The Preferred Reporting Items for Systematic Reviews and Meta-analyses guideline was followed. Individual patient data were reconstructed from Kaplan-Meier curves. Risk of HCC was evaluated using random-effects hazard ratios (HRs) via a shared-frailty model and a Cox proportional hazards model stratified by study group. Restricted mean survival time (RMST) analysis was conducted to account for varying estimated treatment effect across time. Main Outcomes and Measures: The comparative risk of HCC with tenofovir vs entecavir treatment. Results: From analysis of 14 studes with 24 269 patients (10 534 receiving tenofovir and 13 735 receiving entecavir; mean age, 49.86 [95% CI, 48.35-51.36] years; 65.05% [95% CI, 58.60%-71.00%] men), tenofovir was associated with decreased HCC incidence compared with entecavir (stratified Cox HR, 0.85 [95% CI, 0.76-0.94] at 5 years; P = .002). However, there was no significant difference in subanalysis of clinical cohort studies (stratified Cox HR, 0.92 [95% CI, 0.80-1.06] at 5 years; P = .24). Among administrative database studies, proportionality was violated, and HRs could not be obtained via Cox proporational hazards-based models. The mean time to HCC development in RMST analysis was 2.8 (95% CI, 1.8-3.7) weeks longer (P < .001) for tenofovir vs entecavir at 5 years. The RMST analyses for other subgroups revealed either insignificant or minimal differences (<3 weeks) in the mean time to HCC at 5 years. Conclusions and Relevance: In this meta-analysis, there was no clinically meaningful difference in the risk of HCC between patients who received entecavir and patients who received tenofovir. There was no difference between tenofovir and entecavir among clinical cohort studies, whereas the mean time to HCC development was less than 3 weeks longer for patients who received tenofovir vs those who received entecavir at year 5 among administrative database studies. The choice between tenofovir or entecavir should be decided based on patient convenience and tolerability.

Indexed as

Carcinoma, HepatocellularHepatitis B, ChronicLiver NeoplasmsAntiviral AgentsFemaleGuanineHepatitis B virusHumansMaleMiddle AgedTenofovirAntiviral AgentsentecavirGuanineTenofovir

Identifiers

PMID35767258
PMCPMC9244612
OpenAlexW4283723134

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.