Evidence map›Paper›PMID 33062022›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2020

Clinical Efficacy and Safety of Eight Traditional Chinese Medicine Combined with Entecavir in the Treatment of Chronic Hepatitis B Liver Fibrosis in Adults: A Network Meta-Analysis.

Tao Wang, Wei Jin, Qianqian Huang, Haotian Li, Yun Zhu, Honghong Liu, Huadan Cai, Jiabo Wang, Ruilin Wang, Xiaohe Xiao and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Hepatoprotective effect of hUC-MSC secretome in LPS-induced HepG2 cells.Iranian journal of basic medical sciences · 2026
    Article
  3. Article
  4. Article
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  6. Clinical andInfectious disorders drug targets · 2025
    Review
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  12. Hepatoprotective Effect and Potential Mechanism of Aqueous Extract fromEvidence-based complementary and alternative medicine : eCAM · 2021
    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

12 authors at 2 institutions in 1 country.

Tao WangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Wei JinHospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
Qianqian HuangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0003-1701-0937
Haotian LiDepartment of Pharmacy, 302 Military Hospital of China, Beijing 100039, China.
Yun ZhuIntegrative Medical Center, 302 Military Hospital of China, Beijing 100039, China.
Honghong LiuIntegrative Medical Center, 302 Military Hospital of China, Beijing 100039, China.
Huadan CaiDepartment of Pharmacy, 302 Military Hospital of China, Beijing 100039, China.
Jiabo WangChina Military Institute of Chinese Medicine, 302 Military Hospital of China, Beijing 100039, China.
Ruilin WangIntegrative Medical Center, 302 Military Hospital of China, Beijing 100039, China.
Xiaohe XiaoChina Military Institute of Chinese Medicine, 302 Military Hospital of China, Beijing 100039, China.
Yanling ZhaoDepartment of Pharmacy, 302 Military Hospital of China, Beijing 100039, China.ORCID https://orcid.org/0000-0001-6446-0733
Wenjun ZouCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.ORCID https://orcid.org/0000-0002-0092-5826
302 Military Hospital of China · CNChengdu University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional Chinese medicine (TCM) is used as an adjuvant drug for the treatment of chronic hepatitis B liver fibrosis and is used frequently. We still do not know which TCM has the best curative effect as an adjuvant drug. Therefore, we decided to use network meta-analysis to solve this problem.

methodsWe used the RevMan software (5.3) and Stata software (13.0) to achieve this network meta-analysis (NMA). The primary outcomes of this study were HA, LN, PCIII, and IV-C; the secondary outcomes of this study were AST, ALT, and HBV-DNA negative conversion rate, and the Cochrane risk-of-bias tool was used to assess the quality of the included studies. For all outcomes, the scissors funnel plot, Egger test, and Begg test were used to detect publication bias, and sensitivity analysis was used to investigate the stability of the results. And the meta-regression was used to explore the source of heterogeneity.

resultsA total of 34 articles were included in this study. The study involved a total of 3199 patients, of which 1578 were assigned to the control group and 1621 patients were assigned to the experimental group. The number of men and women is roughly equal, and the average age is about 43 years old. In addition, nine treatment strategies were involved in this study. The combination of TCM and entecavir can significantly improve the patients' HA, LN, PCIII, IV-C, AST, ALT, and HBV-DNA negative conversion rates. The comprehensive evaluation results showed that FHC combined with entecavir has more advantages than other treatment strategies.

conclusionFor improving the HBV-DNA negative conversion rates, adding TCM to the therapeutic strategies does not seem to show absolute superiority. Finally, FHC combined with entecavir is the best therapeutic strategy.

Identifiers

PMID33062022
PMCPMC7545414
OpenAlexW3089339413

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.