Evidence map›Paper›PMID 42698463›Full record

SynthesisFrontiers in nutrition2026

Tea and liver fibrosis: a bibliometric analysis of mechanisms, translational challenges, and emerging trends.

Fei Yu, Sihan Yin, Jiayu Zhu, Kewei Sun

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Fei Yu *The First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Sihan Yin *Department of Hepatology, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Jiayu ZhuThe First Clinical College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Kewei SunDepartment of Hepatology, The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Although tea and its bioactive constituents, particularly epigallocatechin gallate (EGCG), demonstrate promising anti-liver fibrotic potential, the global research landscape has yet to be systematically characterized through quantitative visualization, leaving research priorities and clinical translational barriers unclear. This bibliometric analysis aims to delineate the current status, emerging hotspots, and developmental trends in tea-related liver fibrosis research, providing strategic insights for future studies. Methods: A dual-database search with reciprocal verification was conducted in the Web of Science Core Collection (WoSCC) and Scopus using refined search strategies. Bibliometric analyses and visualizations were performed using R (v4.5.1), VOSviewer (v1.6.19), and CiteSpace (v6.4.R1). Results: Annual publication output in this field has increased steadily. China led in publications ( Conclusion: This study elucidates the therapeutic potential of tea and its bioactive constituents against liver fibrosis, encompassing their pharmacological mechanisms, emerging molecular targets, and bioavailability enhancement strategies. With advances in nanomedicine and pharmaceutical technologies, coupled with rigorously designed multicenter randomized controlled trials, tea-derived bioactives are anticipated to overcome current limitations and establish clinical value in liver fibrosis prevention and adjuvant therapy.

Indexed as

bibliometric analysisbioavailabilityclinical applicationsliver fibrosistea

Identifiers

PMID42698463
PMCPMC13541515

What OpenQuestion holds

Textmetadata
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.