Evidence map›Paper›PMID 37157776›Full record

SynthesisClinical and molecular hepatology2023

Impact of fatty liver on long-term outcomes in chronic hepatitis B: a systematic review and matched analysis of individual patient data meta-analysis.

Yu Jun Wong, Vy H Nguyen, Hwai-I Yang, Jie Li, Michael Huan Le, Wan-Jung Wu, Nicole Xinrong Han, Khi Yung Fong, Elizebeth Chen, Connie Wong and 11 more

Registry-linked trialOpen access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Clinical and molecular hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06589167 (Metabolic Dysfunction Among Egyptian Patients with Chronic HBV), which is not on this map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
12.7field-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.

NCT06589167 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Metabolic Dysfunction Among Egyptian Patients with Chronic HBV

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled100ConditionsMetabolic Syndrome, Fatty Liver Disease
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Review
  9. Article
  10. MASLD In PBC: A Shift From Liver-Centred to Cardiometabolic Risk Assessment?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 14 institutions in 5 countries.

Yu Jun WongDepartment of Gastroenterology & Hepatology, Changi General Hospital, SingHealth, Singapore.
Vy H NguyenDivision of Gastroenterology and Hepatology, Stanford University Medical Centre, Palo Alto, CA, USA.
Hwai-I YangGenomics Research Centre, Academia Sinica, Taipei, Taiwan.
Jie LiDepartment of Infectious Disease, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Michael Huan LeDivision of Gastroenterology and Hepatology, Stanford University Medical Centre, Palo Alto, CA, USA.
Wan-Jung WuGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Nicole Xinrong HanYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Khi Yung FongYong Loo Lin School of Medicine, National University of Singapore, Singapore.
Elizebeth ChenDepartment of Gastroenterology & Hepatology, Changi General Hospital, SingHealth, Singapore.
Connie WongLane library, Stanford University School of Medicine, Palo Alto, CA, USA.
Fajuan RuiDepartment of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Xiaoming XuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Qi XueDepartment of Infectious Disease, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xin Yu HuDepartment of Infectious Disease, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Chin.
Wei Qiang LeowDepartment of Pathology, Singapore General Hospital, Singapore.
George Boon-Bee GohSingHealth Duke-NUS Medicine Academic Clinical Program, Singapore.
Ramsey CheungDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University Medical Centre, Palo Alto, CA, USA.
Grace WongDepartment of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong.
Vincent Wai-Sun WongDepartment of Medicine and Therapeutics, the Chinese University of Hong Kong, Hong Kong.
Ming-Whei YuGraduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
Mindie H NguyenDivision of Gastroenterology and Hepatology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Nanjing University of Chinese Medicine · CNNational Taiwan University · TWNational University of Singapore · SGNational Yang Ming Chiao Tung University · TWSingapore General Hospital · SGSingHealth · SGVA Palo Alto Health Care System · USChinese University of Hong Kong · HKHarvard University · USNanjing Drum Tower Hospital · CNPalo Alto University · USShandong Provincial Hospital · CNShandong University · CNUniversity of Vermont · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsChronic hepatitis B (CHB) and fatty liver (FL) often co-exist, but natural history data of this dual condition (CHB-FL) are sparse. Via a systematic review, conventional meta-analysis (MA) and individual patient-level data MA (IPDMA), we compared liver-related outcomes and mortality between CHB-FL and CHB-no FL patients.

methodsWe searched 4 databases from inception to December 2021 and pooled study-level estimates using a random- effects model for conventional MA. For IPDMA, we evaluated outcomes after balancing the two study groups with inverse probability treatment weighting (IPTW) on age, sex, cirrhosis, diabetes, ALT, HBeAg, HBV DNA, and antiviral treatment.

resultsWe screened 2,157 articles and included 19 eligible studies (17,955 patients: 11,908 CHB-no FL; 6,047 CHB-FL) in conventional MA, which found severe heterogeneity (I2=88-95%) and no significant differences in HCC, cirrhosis, mortality, or HBsAg seroclearance incidence (P=0.27-0.93). IPDMA included 13,262 patients: 8,625 CHB-no FL and 4,637 CHB-FL patients who differed in several characteristics. The IPTW cohort included 6,955 CHB-no FL and 3,346 CHB-FL well-matched patients. CHB-FL patients (vs. CHB-no FL) had significantly lower HCC, cirrhosis, mortality and higher HBsAg seroclearance incidence (all p≤0.002), with consistent results in subgroups. CHB-FL diagnosed by liver biopsy had a higher 10-year cumulative HCC incidence than CHB-FL diagnosed with non-invasive methods (63.6% vs. 4.3%, p<0.0001).

conclusionIPDMA data with well-matched CHB patient groups showed that FL (vs. no FL) was associated with significantly lower HCC, cirrhosis, and mortality risk and higher HBsAg seroclearance probability.

Indexed as

Carcinoma, HepatocellularFatty LiverHepatitis B, ChronicLiver NeoplasmsAntiviral AgentsDNA, ViralHepatitis B Surface AntigensHepatitis B virusHumansLiver CirrhosisAntiviral AgentsDNA, ViralHepatitis B Surface AntigensCirrhosisFibrosisHBsAg seroclearanceHepatocellular carcinomaMortalityNon-alcoholic fatty liver disease

Identifiers

PMID37157776
PMCPMC10366810
OpenAlexW4375955345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.