Literature DB >> 22376935

Effectiveness of Chinese herbal medicine in treating liver fibrosis: a systematic review and meta-analysis of randomized controlled trials.

Fan Cheung1, Yibin Feng, Ning Wang, Man-Fung Yuen, Yao Tong, Vivian Taam Wong.   

Abstract

BACKGROUND: The studies on the effectiveness of Chinese herbal medicines (CHM) in treating liver fibrosis (LF) were not consistent. This study aims to systematically review the effectiveness of CHM on treating LF patients.
METHODS: Databases including MEDLINE, AMED, EMBASE, The Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, TCMOnline, Chinese Biomedical Literature Database, and Chinese Medical Current Contents were searched up to March 2011. Randomized controlled trials (RCTs) involving LF patients receiving CHM, Western medicine, combined CHM and Western medicine compared with placebo, Western medicine or no intervention were included. LF markers including serum hyaluronic acid (HA), laminin (LN), procollagen type III (PC-III), type IV collagen (IV-C), matrix metalloproteinase (MMP), and tissue inhibitors of metalloproteinase (TIMP) were measured as primary outcomes. Liver biochemistry, including alanine aminotransferase (ALT) and aspartarte aminotransferase (AST), and improvement of related clinical symptoms were measured as secondary outcomes. Risk of bias of allocation sequence, allocation concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases were assessed.
RESULTS: Twenty-three RCTs with 2123 participants were analyzed in subgroups of types of comparison and study quality. Fifteen studies were graded as good quality. CHM alone and combined with Western medicine showed significant improvements in HA, LN, PC-III and IV-C compared with Western medicine alone. However, there were no significant differences observed between CHM and placebo treatments.
CONCLUSION: The current inconclusive results in determining the effectiveness of CHM treatment on LF, due to the poor methodological quality and high heterogeneity of the studies, suggests that large RCTs using standardized Chinese medicine syndrome diagnosis and CHM formulae with longer follow-up are required for further evaluation.

Entities:  

Year:  2012        PMID: 22376935      PMCID: PMC3310806          DOI: 10.1186/1749-8546-7-5

Source DB:  PubMed          Journal:  Chin Med        ISSN: 1749-8546            Impact factor:   5.455


Introduction

Liver fibrosis (LF), as a result of wound-healing response to recurrent liver injury, is thought to be an early reversible stage of liver cirrhosis [1]. It is characterized by the formation of fibrotic scar tissue with abnormal accumulation of fibroblasts and myofibroblasts, and excessive synthesis and deposition of extracellular matrix (ECM) proteins. The development of anti-fibrotic therapy is important for patients with chronic liver diseases, especially for chronic hepatitis B (HBV) and C virus (HCV) infections [2], which are the most prevalent blood-borne viral infection and the major causes of LF worldwide, especially in mainland China [3-5]. Few LF treatments are effective and inexpensive without adverse side effect [6-8]. Categories of current research into Chinese herbal medicine (CHM) treatment of LF include (1) the prevention of anti-fibrosis effects, (2) mechanisms, and (3) clinical efficacy, safety and quality control [3]. Clinically, several studies reported the efficacy of CHM on LF [9-11]. A previous systematic review of 11 studies on LF suggested that "Fuzheng Huayu Capsule" had beneficial effects on LF [12]. However, the review included only one CHM compound, and the results might not be representative of all CHM. Moreover, with advanced progress on LF in recent years, the review should be updated to include recent studies. This article aims to systematically review the published randomized controlled trials (RCTs) for evaluating the effectiveness of CHM on LF treatment.

Methods

This study was conducted according to the Cochrane practice [13,14], including pre-specified objectives, search strategy, inclusion criteria, quality assessment, data collection and meta-analysis.

Search strategy

Published RCTs on CHM treating LF patients were searched via the following electronic databases from their inception to March 2011: MEDLINE since 1948, AMED since 1985, EMBASE since 1974, and The Cochrane Central Register of Controlled Trials since 1996. In addition, four Chinese electronic databases including China National Knowledge Infrastructure (CNKI), TCMOnline, Chinese Biomedical Literature Database (CBM), and Chinese Medical Current Contents (CCMC) were searched since January 2000. The bibliographies of studies identified in the systematic search were checked for potentially relevant publications. Unpublished data were not included. The keywords for database search were ('liver fibrosis' OR 'hepatic fibrosis' OR 'fibrotic liver' OR 'antifibrotic') AND ('Chinese medicine' OR 'traditional medicine' OR 'herbal medicine' OR 'complementary medicine' OR 'complementary therapy' OR 'alternative medicine' OR 'Fuzheng huayu' OR 'compound 861' OR 'Anluohuaxian pill' OR 'Rhubarb zhechong wan' OR 'Sho saiko to' OR 'Fufang biejiaruangan tablet' OR 'Biejia ruanjian' OR 'Biejiajian pill' OR 'Qianggan capsule' OR 'Qianggan pill' OR 'Han-Dan-Bi-Tuo' OR 'Matrine capsule' OR 'Oxymatrine capsule' ) AND 'randomized controlled trial' [15]. No restrictions on publication type and language of publication were imposed.

Study selection

Types of studies

This review included only RCTs on the effectiveness of CHM. The studies with quasi-randomized and non-randomized study design were excluded.

Participants

The studies recruited patients suffering from chronic hepatitis diseases, fatty liver or schistosomiasis japonica, and having histologically significant LF were included. The studies involved patients having co-infection of two or more types of hepatitis or fatty liver with other chronic liver diseases, or having decompensated liver diseases were excluded.

Interventions

The studies comparing CHM (such as pills, tablets, capsules, decoctions, and injections) with placebo, Western medicine, or no intervention were included. CHM intervention could be a sole anti-fibrotic therapy or an adjunct treatment. The studies assessing combined effects of CHM with other intervention (e.g. CHM plus acupuncture, injection of CHM into acupoint, and acupoint application) were excluded. The studies used non-conventional herbal medicines or complementary medicines as control groups were also excluded. Co-intervention, including those supplements such as vitamins, was allowed if both arms of the randomized allocation received the same co-intervention.

Outcome measures

Primary outcome measures were mean differences (MD) of LF biomarkers, which indicate ECM metabolism, including serum hyaluronic acid (HA), laminin (LN), procollagen type III (PC-III), type IV collagen (IV-C), matrix metalloproteinase (MMP), and tissue inhibitors of metalloproteinase (TIMP) [16]. Secondary outcomes included liver biochemistry which including alanine aminotransferase (ALT) and aspartarte aminotransferase (AST), and the improvement of related clinical symptoms was defined as the alleviation of subjective symptoms after the interventions. Both non-serious and serious adverse events were evaluated. A serious adverse event included event of death, life-threatening incidents, or inpatient or prolonged of hospitalization which resulted in a persistent or significant disability [17].

Data extraction and assessment of methodological quality

Two authors (FC and NW) independently assessed studies for eligibility, extracted data in duplicate using a structured data extraction form, and cross-checked for transcription errors. The data extraction form comprised the items of primary author, study citation, study design, participants, interventions, outcome measures, and adverse events according to pre-specific selection criteria. In case duplicate publications were found, only the most informative and updated version was included. The quality of included studies was evaluated independently by the two authors (FC and NW) using a tool for evaluating 'risk of bias' which tool was adapted from the Cochrane Handbook for Systematic Review of Interventions [13] with slight modifications for transforming the bias codes of "yes", "unclear" and "no" into 2, 1 and 0, respectively, for presenting clearer results. The following six questions were asked: (1) Was the allocation sequence adequately generated? (2) Was allocation adequately concealed? (3) Was knowledge of the allocated interventions adequately prevented during the study? (4) Were incomplete outcome data adequately addressed? (5) Are reports of the study free of suggestion of selective outcome reporting? (6) Was the study free of other problems that could put it at a risk of bias? Every item would be given 2 points for answering 'yes', 1 for answering 'unclear' and 0 for answering 'no'. Prevention of knowledge of the allocated interventions, i.e. blinding (patient, personnel, and outcome assessor blinding), was assessed separately. There were eight items in total as three items from blinding (including blinding of patients, personnel, and outcome assessor), and five from the rest five questions. The scale ranged from 0 to 16 points with 0 to 7 regarded as poor quality, and 8 or above as good quality. Any disagreement was resolved by consensus. If necessary, the third author (YF) was consulted for resolution.

Data synthesis of outcome measures

Review Manager, Version 5.1 for Windows (The Nordic Cochrane Centre, Copenhagen, Denmark) and STATA 10.1 (StataCorp, College Station, TX, USA) were used for data analysis. Meta-analysis was carried out on the intention-to-treat (ITT) basis regardless whether the subjects were lost to follow-up. Subgroup analysis was conducted among different comparisons (including CHM versus Western medicine, CHM versus placebo, and combined treatment versus Western medicine) and study quality (all studies versus the studies with good quality). Inverse-variance random effects model was used MD and 95% confidence intervals (CI) were calculated. Heterogeneity was assessed by examining the forest plots and Istatistics, where Ivalues of 25%, 50%, and 75% were regarded as low, moderate, and high heterogeneity, respectively [18]. Sensitivity analysis for primary outcomes was performed to assess the impact of excluding outlier studies when there was high heterogeneity (I> 75%) between studies. In a three-arm study that had two control groups of conventional medicine and no intervention, the treatment group was split into two groups to create two comparisons in the meta-analysis. Funnel plot and Egger's regression asymmetry test were applied to detect for the potential publication bias [19]. P value less than 0.05 were considered statistically significant.

Results

Study characteristics

Figure 1 shows the process of the study selection. Twenty-three RCTs with a total of 2123 participants met the eligibility criteria were included in this review (Table 1). Sample sizes ranged from 44 to 164. Among these included studies, a study recruited schistosomiasis japonica patients only [20], the remaining recruited patients with chronic HBV infection. All of the identified studies were conducted in China and published in Chinese language, and only one study was published in English language [21]. Three studies used three-arm study design (2 intervention groups compared with 1 control group, or 1 intervention group compared with 2 control groups) [21-23] and others used two-arm study design (1 intervention group versus 1 control group) [20,24-42]. No study reported mortality, liver cirrhosis or cancer, quality of life or cost as outcomes. The information about the study design, participants, intervention, outcome assessment, and quality was presented in Additional file 1.
Figure 1

Flow diagram of study selection process.

Table 1

Characteristics of the included studies

Study IDSample sizeIntervention GroupControl GroupDuration Primary OutcomesSecondary Outcomes
Chen 2005 [24]49'Fufang Biejia Ruangan Tablets' + IFN-γ (n = 28)IFN-γ (n = 21)6 monthsHA, LN, PC-III, IV-C & Knodell scoreALT & AST
Chen 2006 [33]116Kang Xian Decoction + IFN-α (n = 58)IFN-α (n = 58)6 monthsHA, LN & PC-IIIALT & Improvement of related clinical symptoms
Chen 2006_2 [20]138'Qianggan Capsule' + conventional care (n = 68)Placebo + conventional care (n = 70)6 monthsHA, LN, PC-III & IV-CALT, Improvement of related clinical symptoms
Chen 2007 [22]164Group I: Bie Jia Jian Pills + conventional care (n = 54)IFN + conventional care (n = 52)9 monthsHA, LN & PC-III
Group II: Group I + control group (n = 58)
Chen 2010 [25]96'Fufang Biejia Ruangan Tablets' + Entecavir (n = 46)Entecavir (n = 50)1 yearHA, LN, PC-III & IV-CALT & AST.
Dai 2011 [26]68'Fufang Biejia Ruangan Tablets' + Entecavir (n = 34)Entecavir (n = 34)1 yearHA, LN, PC-III & IV-CALT, AST & Improvement of related clinical symptoms
Gao 2000 [34]120'HB-Granule-3' (n = 60)IFN-α (n = 60)90 daysHA, LN & IV-CALT & Improvement of related clinical symptoms
Huang 2007 [27]99'Decoction of Radix Salviae Milltorrhizae, Radix Astragali and Rhubarb' (n = 50)IFN-α (n = 49)3 monthsHA, LN, PC-III & IV-CALT & AST
Huang 2009 [28]83'Fufang Biejia Ruangan Tablets' + Adefovir dipivoxil (n = 43)Adefovir dipivoxil (n = 40)1 yearALT & AST
Kuang 2005 [29]53Bie Jia Jian Decoction (n = 27)LVD (n = 26)60 daysHA, PC-III & IV-CALT, AST & Improvement of related clinical symptoms
Li 2006 [30]60'Xiexian Oral Liquid' + conventional care (n = 30)Placebo + conventional care (n = 30)4 monthsHA, LN & IV-CALT, AST & Improvement of related clinical symptoms
Li 2011 [31]88'Anluo Huaxian Pills' + Adefovir dipivoxil (n = 44)Adefovir dipivoxil (n = 44)9 monthsHA, LN, PC-III & IV-CALT & AST
Lu 2010 [32]82'Fufang Biejia Ruangan Tablets' + Adefovir dipivoxil (n = 42)Adefovir dipivoxil (n = 40)1 yearHA, LN, PC-III & IV-CALT, AST & Improvement of related clinical symptoms
Shen 2003 [35]68'Ganxian Prescirption' + LVD (n = 31)LVD (n = 37)1 yearHA, LN & IV-CALT & AST
Shen 2005 [21]120Group I: 'Ganxian Recipe' (n = 40)LVD (n = 40)2 yearsHA, LN & IV-CALT & AST
Group II: 'Ganxian Recipe' + LVD
(n = 40)
Sun 2010 [36]55'Anluo Huaxian Pills' + Adefovir dipivoxil (n = 30)Adefovir dipivoxil (n = 25)48 weeksHA, LN, PC-III & IV-CALT, AST & Improvement of related clinical symptoms.
Wang 2006 [23]160Group I: experienced clinical decoction (n = 50)LVD (n = 50)6 monthsHA, LN, PC-III & IV-C
Group II: Group I + Control Group (n = 60)
Wang 2010 [37]98'Fufang Biejia Ruangan Tablets' + Adefovir dipivoxil (n = 49)Adefovir dipivoxil (n = 49)1 yearHA, LN, PC-III & IV-CALT
Wei 2010 [38]44'Fufang Biejia Ruangan Tablets' + Adefovir dipivoxil (n = 22)Adefovir dipivoxil (n = 22)1 yearHA, LN, PC-III & IV-CALT & AST
Xie 2009 [39]62'Huaxian Fugan Prescription' + conventional care (n = 32)Conventional care (n = 30)6 monthsHA, LN, PC-III & IV-CALT, AST & Improvement of related clinical symptoms
Yang 2009 [40]120'Fufang Biejia Ruangan Tablets' + LVD + conventional care (n = 60)LVD + conventional care (n = 60)6 monthsHA, LN, PC-III & IV-CALT & AST
Yin 2004 [41]102'Herbal Compound 861' (n = 52)Placebo (n = 50)24 weeksHA, LN, PC-III, IV-C, MMPI, MMP2, MMP9, TIMPI & TIMP2ALT, AST & Improvement of related clinical symptoms
Zhang 2000 [42]78'Kanggan Xianfang' + conventional care (n = 39)Conventional care (n = 39)6 monthsHA, PC-III & TGF-β1ALT & Improvement of related clinical symptoms
Flow diagram of study selection process. Characteristics of the included studies

Treatment groups

The types of intervention were classified as CHM (N = 8) and combined treatment (CHM plus Western medicine) (N = 15) including Interferon (IFN), Entecavir, Adefovir Dipivoxil, and Lamivudine (LVD). CHM was prepared as decoctions (N = 7), tablets (N = 8), granules (N = 2), capsules (N = 2), pills (N = 3), and oral liquid (N = 1). Only standardized (87%, 20/23) and semi-standardized (13%, 3/23) CHM prescriptions were used in these studies. The standardized prescriptions indicate fix formulas for all participants and the semi-standardized prescriptions were defined as individually customized formulas according to Chinese medicine.

Control groups

Comparison groups included Western medicines (including IFN, Entecavir, Adefovir Dipivoxil, and LVD), placebo, and no intervention. Three studies used placebos, with one using physiological saline and food coloring [30], and two using similar shape capsules [20,41].

Duration of follow-up

The range of intervention duration in the studies ranged from 60 days to two years with mostly were six months (N = 7) and one year (N = 7). The duration of follow-up was only reported in three studies with a range from three to six months [27,30,34].

Methodological quality

Fifteen studies were graded as good quality and others as poor quality (as shown in Additional file 1). Out of 23 included studies, only two studies reported adequate generation of allocation sequence using random number tables or drawing of lots for assigning groups [29,41]. None of the studies described the method of allocation concealment. Only one study reported using blinding design (single blind without description of the blinding method) [21] and three studies used placebos [20,30,41]. Six studies did not provide the information on missing data [28,29,33-35,41]. None reported the use of ITT in their analysis.

Outcomes

Primary outcomes

Figures 2, 3, 4 show the forest plots of MD of LF markers (HA, LN, PC-III & IV-C) with 95% CI.
Figure 2

Forest plot of studies comparing Chinese herbal medicine and western medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A) HA. (B) LN. (C) PC-III. (D) IV-C. Vertical line represents no effect point; CI, confidence interval; HA, hyaluronic acid; LN, laminin; PC-III, procollagen type III; IV-C, type IV collagen.

Figure 3

Forest plot of studies comparing Chinese herbal medicine and placebo medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A) HA. (B) LN. (C) PC-III. (D) IV-C.

Figure 4

Forest plot of studies comparing combined medicine and western medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A). HA. (B) LN. (C) PC-III. (D) IV-C.

Forest plot of studies comparing Chinese herbal medicine and western medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A) HA. (B) LN. (C) PC-III. (D) IV-C. Vertical line represents no effect point; CI, confidence interval; HA, hyaluronic acid; LN, laminin; PC-III, procollagen type III; IV-C, type IV collagen. Forest plot of studies comparing Chinese herbal medicine and placebo medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A) HA. (B) LN. (C) PC-III. (D) IV-C. Forest plot of studies comparing combined medicine and western medicine, examining the effect on liver fibrosis markers (including HA, LN, PC-III and IV-C). (A). HA. (B) LN. (C) PC-III. (D) IV-C. CHM group versus Western medicine group (6 studies): CHM significantly reduced the levels of HA (pooled MD-31.52; 95% CI-40.65, -22.38; P < 0.00001), LN (pooled MD-43.62; -77.41, -9.82; P = 0.01), PC-III (pooled MD-115.37; -203.65, -27.09; P = 0.01) and IV-C (pooled MD-29.05; -53.4, -4.7; P = 0.02), with Iranging from 89% to 98%, as shown in Figure 2. Subgroup analyses among studies with different quality also found substantial significant differences in favor of CHM in the levels of HA (pooled MD -292.65; 95% CI-481.77, -103.54; P = 0.002), LN (pooled MD-76.28; -136.23, -16.32; P = 0.01), PC-III (pooled MD-115.37; -203.65, -27.09; P = 0.01) and IV-C (pooled MD -52.05; -93.95, -10.15; P = 0.01), with Iranging from 86% to 98%. The significance differences were maintained for the levels of HA (pooled MD - 21.46; 95% CI -30.80, - 12.13; P < 0.00001), LN (pooled MD -21.01; 95% CI -43.49, 1.47; P = 0.07), and IV-C (pooled MD -15.65; 95% CI -34.57, 3.26; P = 0.1) when excluding the studies with outlier results, with Iranging from 83% to 96%. For PC-III (pooled MD -221.02; 95% CI -271.89, -170.15; P < 0.00001), the heterogeneity was largely reduced after removing two potential outlier studies [27,29] (overall I= 0%). CHM group versus placebo group (3 studies): CHM had no significant effects on the levels of HA (pooled MD -77.82; 95% CI-156.67, 1.03; P = 0.05), LN (pooled MD -74.59; -167.93, 18.75; P = 0.12), PC-III (pooled MD -17.09; -51.09, 16.91; P = 0.32) and IV-C (pooled MD -43.71; -98.45, 11.03; P = 0.12) when compared with placebo, with Iranging from 93% to 99%, as shown in Figure 3. Subgroup analysis showed the same estimates for quality and sensitivity analyses excluding outliers found similar results for the levels of HA (pooled MD -41.80; 95% CI-109.68, 26.08; P = 0.23), LN (pooled MD -11.51; 95% CI -46.48, 23.46; P = 0.52), and IV-C (pooled MD -19.69; 95% CI-49.15, 9.76; P = 0.19) A large high heterogeneity was observed (Iranging from 87% to 92%) except in IV-C (I= 49%). Combined treatment group versus Western medicine group (14 studies): Combined treatment was found to significantly reduce the levels of HA (pooled MD -46.59; 95% CI -51.23, -41.944; P < 0.00001), LN (pooled MD -40.292; -57.13, -23.45; P < 0.00001), PC-III (pooled MD -4.49; -6.68, -2.3; P < 0.0001) and IV-C (pooled MD -38.81; -54.84, -22.78; P < 00001) compared with Western medicine, Western medicine, with Iranging from 92% to 96%, as shown in Figure 4. Subgroup analyses showed high significant differences for good quality studies in the levels of HA (pooled MD -121.46; 95% CI-166.40, -76.51; P < 0.00001), LN (pooled MD -58.53; -88.38, -28.68; P = 0.0001), PC-III (pooled MD) - 13.14; -18.81, -7.48; P < 0.00001), and IV-C (pooled MD -44.45; -68.17, -20.73; P = 0.0002), with Iranging from 93% to 97%. Sensitivity analyses excluding outliers found similar estimated and heterogeneity in the levels of HA (pooled MD -41.94; 95% CI-46.65, -37.23; P < 0.00001), LN (pooled MD -24.22; -33.77, -14.67; P < 0.00001), PC-III (pooled MD -2.57; -4.20, -0.94; P = 0.002) and IV-C (pooled MD -30.53; -44.35, -16.70; P < 0.0001), with Iranging from 80% to 94%.

Secondary outcomes

Comparing with Western medicine, combined treatment was statistically significant in reducing ALT level (pooled MD -11.35; 95% CI -18.75, -3.95; I= 85%; P = 0.003). No significant difference was found in AST level (pooled MD -1.13; 95% CI -6.56, 4.3; I= 52%; P = 0.68). However, when comparing CHM with Western medicine and placebo, no significant difference was found for the levels of ALT (For CHM versus Western medicine: pooled MD -14.59; 95% CI -37.190, 8; I= 95%; P = 0.21. For CHM versus placebo: pooled MD -18.64; -52.89, 15.61; I= 73%; P = 0.29) and AST (For CHM versus Western medicine: pooled MD 9.7; -3.37, 22.76; I= 88%; P = 0.15. For CHM versus placebo: pooled MD -17.94; -37.57, 1.69; I= 37%; P = 0.07). Eleven studies [20,26,29,30,32-34,36,39,41,42] reported symptom improvement with eight studies [20,29,30,32,33,36,39,42] reported statistically significant difference (P < 0.05) in the outcomes comparing CHM with Western medicine, placebo, and no intervention; and comparing combined treatment with Western medicine. One out of the eleven studies comparing CHM with placebo reported a non-significant improvement [41].

Adverse events

Although adverse events were reported in nine studies, none was serious. Among these, three reported no adverse event in both groups [31,32,35] while one reported no adverse event for CHM [30]. Five reported gastrointestinal discomfort and drug-allergic symptoms for CHM, placebo, IFN and LVD [20,21,27,30,41]. One reported two cases with dizziness using the combined treatment [21]. Other adverse symptoms of flu-like symptoms or mild leucopenia and thrombocytopenia were related to the use of IFN or LVD [21,22,27]. No study described the method of data collection for adverse events.

Evaluation of publication bias

Publication bias was found for HA (P = 0.003), PC-III (P = 0.001) and LN (P = 0.047) although non-significant for IV-C (P = 0.814) according to Egger's test. However, visual inspection of the funnel plots (please see funnel plots in Additional file 2) found no obvious basis.

Discussion

Overall findings

The levels of LF markers were significantly reduced in patients receiving CHM or combined treatment compared with Western medicine. The levels were significantly decreased in CHM group compared with no intervention although the effect was not significantly different when in comparison with Western medicine or placebo. Moreover, CHM was found to be effective in symptom improvements. It should be noted that CHM was not consistently better than placebo.

Methodological quality of studies

Eight studies [21,25,28,31,33,34,36,37] were assessed to be poor quality according to modified Cochrane 'risk of bias' scale. Only two studies reported the method of randomization [34,41]. The method of allocation concealment was not reported by all studies, which should be alert to the possibility of selection bias and overestimation of intervention effects [43]. Blinding was not reported or inappropriately reported by most of the studies. Although most studies used objective outcome measures, it did not rule out the possibility of performance bias and detection bias [44].

Potential biases

Strict eligibility criteria were used to reduce heterogeneity. The included studies, however, had various participants' characteristics and different CHM or combined treatment against different control interventions. Small sample sizes, methodological differences between studies and variations in study objectives might contribute to heterogeneity. To investigate the high levels of heterogeneity in this meta-analysis we performed subgroup analysis and sensitivity analysis. These analyses did not find inconsistency. Some high quality studies might be missed due to the strict eligibility criteria such as a multicentre, double blinded RCT comparing "Fuzhenghuayu capsule" with "Heluoshugan capsule" [45]. Other reviews including CHM as control may be needed in the future. As most studies were of small scale and poor methodological quality, large RCTs of high quality would be required for determining the effectiveness of CHM on LF treatment. In order to minimize bias in the review, we did not restrict the publication type and language, and searched many commonly accessed databases. However, all identified studies were conducted in China, and studies more likely reported positive results, which may be influenced by publication and location bias [46-48]. Our analysis of publication bias using Egger's test did show publication bias in the outcomes of HA, LN, and PC-III, although the funnel plots were symmetric in distribution (Additional file 2).

Limitations and further research

Most of the current studies only focused on the effectiveness of intervention [49] but neglected monitoring the harmful effect from CHM. Further studies should assess both the safety and effectiveness. Well-designed, multi-centre and large sample size RCTs in compliance with the CONSORT guideline [50] should be implemented. Studies with CHM should be registered before their conduct.

Conclusion

The current inconclusive studies are of poor methodological quality and high heterogeneity do not adequately support the effectiveness of CHM treatment on LF. Large RCTs using standardized Chinese medicine syndrome diagnosis and CHM formulae with longer follow-up are required for further evaluation.

Abbreviations

ALT: Alanine aminotransferase; AST: Aspartarte aminotransferase; CBM: Chinese Biomedical Literature Database; CCMC: Chinese Medicine Current Content; CHM: Chinese herbal medicine; CI: Confidence interval; CNKI: China National Knowledge Infrastructure; ECM: Extracellular matrix; HA: Hyaluronic acid; HBV: Hepatitis B virus; HCV: Hepatitis C virus; IFN: Interferon; ITT: Intention-to-treat analysis; IV-C: Type IV collagen; LF: Liver fibrosis; LN: Laminin; LVD: Lamivudine; MD: Mean difference; MMP: Matrix metalloproteinase; PC-III: Procollagen type III; RCTs: Randomized controlled trials; TIMP: Tissue inhibitors of metalloproteinase.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

FC conducted the database search, assessed studies for inclusion, extracted and analyzed the data, and drafted the manuscript. YF conceived the study, analyzed the data, and revised the manuscript. NW conducted the database search, assessed studies for inclusion, extracted the data which followed by cross checking with FC, analyzed the data, and drafted the manuscript. MFY, YT and VTW interpreted the data and revised the manuscript. All authors read and approved the final version of the manuscript.

Additional file 1

Details of characteristics and methodological quality of the included studies. Click here for file

Additional file 2

Funnel plots (with pseudo 95% CI) for the primary outcomes (including HA, LN, PC-III and IV-C) of the included studies in the meta-analysis. (A) HA. (B) LN. (C) PC-III. (D) IV-C. Click here for file
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Journal:  Lancet       Date:  2003-12-20       Impact factor: 79.321

10.  Chinese medicines as a resource for liver fibrosis treatment.

Authors:  Yibin Feng; Kwok-Fan Cheung; Ning Wang; Ping Liu; Tadashi Nagamatsu; Yao Tong
Journal:  Chin Med       Date:  2009-08-20       Impact factor: 5.455

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  11 in total

1.  Effects of Shenqi Neijin powder on activation and apoptosis of hepatic stellate cells in rats with hepatic fibrosis.

Authors:  Hongdong Xie; Wei Hou; Yide Yang; Ying Yu; Fengling Wang; Juanjuan Mao
Journal:  Int J Clin Exp Med       Date:  2015-01-09

2.  Puerarin and betahistine treatment of vertebrobasilar ischemia vertigo: A meta-analysis of randomized controlled trials.

Authors:  Yan-Yan Chen; Wen Chen; Qing Zhang; Hui Li; Ye-Wen Zhang; Qian Kang; Y I Lan; Qing Wu
Journal:  Exp Ther Med       Date:  2016-01-18       Impact factor: 2.447

Review 3.  Acupuncture in treating hepatic fibrosis: a review with recommendation for future studies.

Authors:  Jue Zhou; Yi Liang; Xian-Ming Lin; Rui-Jie Ma; Jian-Qiao Fang
Journal:  Afr J Tradit Complement Altern Med       Date:  2012-07-01

4.  ABCG5 gene responses to treadmill running with or without administration of Pistachio atlantica in female rats.

Authors:  Abbass Ghanbari-Niaki; Navabeh Zare-Kookandeh; Asghar Zare-Kookandeh
Journal:  Iran J Basic Med Sci       Date:  2014-03       Impact factor: 2.699

Review 5.  Substitutes for Bear Bile for the Treatment of Liver Diseases: Research Progress and Future Perspective.

Authors:  Sha Li; Hor Yue Tan; Ning Wang; Ming Hong; Lei Li; Fan Cheung; Yibin Feng
Journal:  Evid Based Complement Alternat Med       Date:  2016-03-21       Impact factor: 2.629

6.  Antifibrogenic Influence of Mentha piperita L. Essential Oil against CCl4-Induced Liver Fibrosis in Rats.

Authors:  Hanan A Ogaly; Nadia A Eltablawy; Reham M Abd-Elsalam
Journal:  Oxid Med Cell Longev       Date:  2018-04-19       Impact factor: 6.543

Review 7.  Efficacy and safety of traditional Chinese medicines for non-alcoholic fatty liver disease: a systematic literature review of randomized controlled trials.

Authors:  Zuanji Liang; Xianwen Chen; Junnan Shi; Hao Hu; Yan Xue; Carolina Oi Lam Ung
Journal:  Chin Med       Date:  2021-01-11       Impact factor: 5.455

8.  Network Pharmacological Analysis and Experimental Validation of the Mechanisms of Action of Si-Ni-San Against Liver Fibrosis.

Authors:  Siliang Wang; Cheng Tang; Heng Zhao; Peiliang Shen; Chao Lin; Yun Zhu; Dan Han
Journal:  Front Pharmacol       Date:  2021-07-01       Impact factor: 5.810

Review 9.  The Role of Oxidative Stress and Antioxidants in Liver Diseases.

Authors:  Sha Li; Hor-Yue Tan; Ning Wang; Zhang-Jin Zhang; Lixing Lao; Chi-Woon Wong; Yibin Feng
Journal:  Int J Mol Sci       Date:  2015-11-02       Impact factor: 5.923

Review 10.  Herb-herb combination for therapeutic enhancement and advancement: theory, practice and future perspectives.

Authors:  Chun-Tao Che; Zhi Jun Wang; Moses Sing Sum Chow; Christopher Wai Kei Lam
Journal:  Molecules       Date:  2013-05-03       Impact factor: 4.411

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