Literature DB >> 35096105

The Efficacy and Safety of Zhengqing Fengtongning for Knee Osteoarthritis: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

Zeling Huang1, Xiao Mao2, Junming Chen1, Junjun He1, Shanni Shi1, Miao Gui1, Hongjian Gao1, Zhenqiang Hong1,3.   

Abstract

BACKGROUND: Zhengqing Fengtongning release tablet (ZQFTN) is a proprietary Chinese medicine preparation of sinomenine, the main active component of the traditional Chinese medicine (TCM) Sinomenium acutum. It is used in China as a complementary and alternative medicine (CAM) for knee osteoarthritis (KOA). The objective of this study was to evaluate the clinical efficacy and safety of ZQFTN in KOA treatment.
METHOD: Randomized controlled trials of ZQFTN in KOA treatment were searched in PubMed, Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database, and Wanfang database. Two reviewers independently conducted the screening, extracted the data, and assessed the methodological quality. Statistical analysis was performed using RevMan 5.3 software.
RESULTS: Eighteen studies were assessed that included 1512 participants (757 in the treatment group and 755 in the control group). The results showed that compared with the control group, the Visual Analogue Scale (standardized mean difference (SMD) = -0.87, 95% confidence interval (CI): [-1.08, -0.66], P < 0.001), Western Ontario and Mc Master University (WOMAC) Osteoarthritis Index pain score (SMD = -0.67, 95% CI: [-0.88, -0.46], P < 0.001), WOMAC stiffness score (SMD = -0.53, 95% CI: [-0.86, -0.20], P=0.001), WOMAC function score (SMD = -0.76, 95% CI: [-0.97, -0.55], P < 0.001), serum interleukin-1β level (SMD = -4.36, 95% CI: [-6.41, -2.31], P < 0.001), and serum tumor necrosis factor-α level (SMD = -8.45, 95% CI: [-11.20, -5.69], P < 0.001) of the ZQFTN treatment group were lower, and the total effective rate was higher relative risk (RR = 1.15, 95% CI [1.07, 1.23], P < 0.001). There was no significant difference in the incidence of adverse reactions between the two groups (RR = 0.96, 95% CI: [0.69, 1.35], P=0.82).
CONCLUSION: ZQFTN can effectively relieve knee pain, morning stiffness, and daily activity function disorders, reduce the expression of inflammatory factors in serum, and improve the total clinical response rate without increasing the incidence of adverse reactions. Therefore, ZQFTN has considerable potential as a CAM for KOA. However, due to the limitation of the quality of the included studies, the strength of this conclusion is affected. In the next step, multicenter, large sample, high-quality randomized controlled studies are needed to further confirm the present conclusion.
Copyright © 2022 Zeling Huang et al.

Entities:  

Year:  2022        PMID: 35096105      PMCID: PMC8794657          DOI: 10.1155/2022/2768444

Source DB:  PubMed          Journal:  Evid Based Complement Alternat Med        ISSN: 1741-427X            Impact factor:   2.629


1. Introduction

Knee osteoarthritis (KOA) is a degenerative disease that occurs in the knee joint, with chronic joint pain, swelling, stiffness, and dysfunction as the main manifestations. With the increase in life expectancy and aging of the global population, its incidence is increasing and the burden on countries around the world is consequently becoming greater [1]. At present, the drugs used to treat KOA mainly include analgesics, intraarticular corticosteroids, nonsteroidal anti-inflammatory drugs (NSAIDs), and symptomatic slow acting drugs for osteoarthritis (SYSADOA) [2-4]. Although these drugs have certain effects on the pain and disease relief of osteoarthritis (OA) patients, they also increase the incidence of gastrointestinal ulcers and cardiovascular events, affecting their use by some patients [5]. Therefore, the need for a safe and effective option for OA treatment has transferred the focus of research from conventional drugs to complementary and alternative medicines (CAMs). Over time, ever increasing evidence has shown that traditional Chinese medicine (TCM) therapies, including acupuncture, galbanum oil, sesame oil, and Qigong, have favorable therapeutic potential as CAMs in OA treatment [6-9]. TCM has a long history, has the advantages of an accurate curative effect, safety and stability, and is a major research topic in the treatment of many difficult diseases [10]. Sinomenine (chemical structure: C19H23NO4, Mw 329.18) is a monomer alkaloid extracted from the TCM Sinomenium acutum, which has anti-inflammatory, analgesic, and immunomodulatory effects [11-14]. It can be used in the treatment of musculoskeletal diseases, neuropathy, cancer, and other diseases [15-19]. At present, Zhengqing Fengtongning release tablets (ZQFTN), sinomenine tablets, and sinomenine hydrochloride injection are used clinically in China [20]. To date, many clinical studies have been reported on the treatment of KOA with ZQFTN [21-38], but there remains a lack of relevant evidence-based medical studies on its efficacy and safety. Because there is no systematic review of oral ZQFTN for KOA treatment, whether ZQFTN can be used as a CAM for clinical KOA treatment remains inconclusive, which complicates the clinician's decision. Therefore, we conducted a meta-analysis on the efficacy and safety of ZQFTN in KOA treatment using evidence-based medicine for guidance.

2. Materials and Methods

The systematic review protocol was developed with guidance from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and is registered in PROSPERO (CRD42021284282).

2.1. Search Strategy

Randomized controlled trials (RCTs) of ZQFTN in the treatment of KOA were searched in PubMed, Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database, and Wanfang database. The retrieval time is from a database construction to August 31, 2021. The retrieval strategy adopted the combination of subject words and free words. The key words were as follows: “Osteoarthritis” “knee osteoarthritis” “KOA” “Zhengqing Fengtongning release tablets” “Zhengqing Fengtongning” “Sinomenine,” and “Sinomenium”. The search strategy was as follows, taking PubMed as an example: “Osteoarthritis” [Title/Abstract] OR “knee osteoarthritis” [Title/Abstract] OR “KOA” [Title/Abstract] “Zhengqing Fengtongning release tablets” [Title/Abstract] OR “Zhengqing Fengtongning” [Title/Abstract] OR “Sinomenine” [Title/Abstract] OR “Sinomenium” [Title/Abstract] “Randomized controlled trial” [Title/Abstract] OR “random trials” [Title/Abstract] OR “Controlled clinical trial” [Title/Abstract] (1) and (2) and/or (3)

2.2. Inclusion and Exclusion Criteria

2.2.1. Inclusion Criteria

The inclusion criteria were as follows: (1) Study type: RCTs, no language limitation. (2) Participants: patients should be clearly diagnosed with KOA. No restrictions on country, race, age, or gender. (3) Experimental group: in the treatment group, ZQFTN was taken orally alone or combined with other therapies. (4) Control group: any type of control group, including NSAIDs and SYSADOA among others. (5) Outcomes: total effective rate, Visual Analog Scale (VAS), Western Ontario and Mc Master University (WOMAC) Osteoarthritis Index, serum interleukin-1β (IL-1β) level, serum tumor necrosis factor-α (TNF-α) level, and adverse events.

2.2.2. Exclusion Criteria

The exclusion criteria were as follows: Repeated publications Full-text literature is not available Studies with incomplete data and information

2.3. Literature Screening and Data Extraction

Two reviewers (Zeling Huang and Xiao Mao) searched the literature and screened it independently according to the inclusion and exclusion criteria. We used standard data extraction methods to extract data. The basic information, sample characteristics, intervention measures, outcome, and other data, which were included in the article, were extracted by two reviewers (Zeling Huang and Xiao Mao). In the case of any inconsistency occurring in the result, this was further discussed by the two researchers or scrutinized by the third reviewer (Zhenqiang Hong).

2.4. Quality Assessment of the Included Studies

A bias risk assessment was conducted by two reviewers (Zeling Huang and Xiao Mao) based on the bias risk assessment tool recommended in the Cochrane manual [39, 40]. The details that were assessed were as follows: (1) random sequence generation; (2) allocation concealment; (3) blinding of participants and personnel; (4) blinding of outcome assessment; (5) incomplete outcome data; (6) selective reporting; and (7) others. Make high risk, low risk, or unclear judgments for each item. Any disagreements were resolved by the third reviewer (Zhenqiang Hong).

2.5. Statistical Analysis

Review Manager (RevMan) (Computer program), version 5.3 (the Nordic Cochrane Centre, the Cochrane Collaboration, Copenhagen, Denmark, 2014), was used to analyze the collected clinical research data. The enumeration data were evaluated using the relative risk (RR) and 95% confidence interval (CI), and the measurement data were combined using the standardized mean difference (SMD) and 95% CI. Analysis was performed using a fixed or random effects model according to the heterogeneity. The percentage of heterogeneity in the study was determined by the I2 statistic; if the I2 < 50%, the heterogeneity among the included studies was considered to be small and the fixed effect model was adopted. If I2 ≥ 50%, the heterogeneity among the included studies was considered significant, and the random effect model was adopted [41]. Subgroup analysis was conducted according to different treatments in the treatment group, and sensitivity analysis was also used to analyze the sources of heterogeneity. A value P < 0.10 was considered to suggest statistical heterogeneity and prompted random effects modeling.

3. Results

3.1. Literature Search Results

We initially retrieved 341 articles (Figure 1). We subsequently removed 178 duplicate articles manually, leaving 163 articles. Of these 163 articles, 118 were excluded after reading the title and abstract. Of the remaining articles, two lacked full text, and 25 were excluded because they failed to meet the inclusion criteria for complete reading. The present study eventually included 18 articles [21-38].
Figure 1

Process of searching and screening studies.

3.2. Characteristics of the Included Studies

The study of all included papers was a single-center, randomized controlled trial undertaken in China. In total, there were 757 cases in the experimental group and 755 cases in the control group. Except for three studies [28, 31, 33] that did not indicate drug sources, ZQFTN in the other fifteen studies was all produced by Hunan Zhengqing Pharmaceutical Group Co., Ltd. (Huaihua, Hunan, China). The included studies on the ZQFTN dosage are not uniform. Six studies [25, 26, 28, 34, 37, 38] defined ZQFTN alone as the experimental group, with a total of 209 patients, while the control group used SYSADOA, with a total of 209 patients. In seven studies [22, 23, 27, 31–33, 35], ZQFTN combined with SYSADOA was defined as the experimental group, with 318 patients in total, and SYSADOA was used by the control group, with 315 patients in total. In three studies [21, 24, 29], ZQFTN combined with NSAIDs was defined as the experimental group, with a total of 145 patients, and NSAIDs were used by the control group, with a total of 146 patients. In two studies [30, 36], 85 patients were treated with ZQFTN combined with sodium hyaluronate injection as the experimental group, and 85 patients were treated with sodium hyaluronate injection in the control group. The characteristics of the included studies are presented in Table 1.
Table 1

Characteristics of the included studies.

Author, yearSample sizeSex (male/female)Age (years)TreatmentTreatment cycleOutcomes
EGCGEGCGEGCGEGCG
Lin ZX, 2008 [21]535415/3816/3863.5 ± 8.765.7 ± 9.2ZQFTN 120 mg bid + CGDiclofenac sodium sustained-release tablets6 monthsTER, AE
Tang C, 2010 [22]333018/1516/1458.5 ± 8.359.8 ± 8.1ZQFTN 60 mg bid + CGGlucosamine sulfate capsules6 weeksTER
Liu YL, 2011 [23]404019/2122/1863 ± 862 ± 8ZQFTN 60 mg tid + CGGlucosamine hydrochloride capsules3 monthsTER, WOMAC, AE
Zhao HY, 2011 [24]4040--59.975 ± 11.07761.200 ± 10.649ZQFTN 120 mg bid + CGCelecoxib8 weeksTER, AE
Xu YX, 2013 [25]353518/1717/185253ZQFTN 60 mg bidDiacerein capsules8 weeksTER, AE
Zhu FX, 2013 [26]434312//3113/3065.17 ± 8.7364.93 ± 9.12ZQFTN 60 mg bidGlucosamine hydrochloride capsules12 weeksTER, WOMAC, IL-1β, TNF-α, AE
Zheng CE, 2014 [27]404011//299/3160.8 ± 6.661.2 ± 5.8ZQFTN 60 mg bid + CGGlucosamine sulfate capsules1 monthsTER, AE
Liu QY, 2016 [28]404018/2215/2568.15 ± 7.865.28 ± 1.20ZQFTN 60 mg bidGlucosamine hydrochloride capsules10 weeksTER, WOMAC, IL-1β, TNF-α, AE
Wu B, 2017 [29]525236/1634/1862.19 ± 7.2062.24 ± 7.15ZQFTN 20 mg tid + CGMeloxicam4 weeksTER, IL-1β, TNF-α, AE
Wang CC, 2017 [30]454516/2918/2749.59 ± 5.7051.63 ± 5.12ZQFTN 120 mg bid + CGSodium hyaluronate injection10 weeksVAS, TNF-α, AE
Luo HC, 2018 [31]606021/3925/3561.28 ± 10.1259.97 ± 11.03ZQFTN 60 mg bid + CGDiacerein capsules8 weeksTER, VAS, WOMAC, AE
Luo HC, 2019 [32]494913/3614/3557.49 ± 10.5259.92 ± 10.89ZQFTN 60 mg bid + CGGlucosamine hydrochloride capsules12 weeksTER, IL-1β, TNF-α, AE
Mi ZY, 2019 [33]505022/2819/3162.7 ± 5.360.9 ± 5.0ZQFTN 60 mg bid + CGDiacerein capsules2 monthsTER
Wang GL, 2019 [34]303016/1417/1332.2 ± 8.440.5 ± 8.2ZQFTN 60 mg bidDiacerein capsules8 weeksTER
Zhang Q, 2019 [35]464618/2816/3058.91 ± 5.6358.72 ± 5.81ZQFTN 120 mg bid + CGDiacerein capsules8 weeksTER, VAS, AE
Zhang Y, 2019 [36]404022/1821/1952.6 ± 2.552.7 ± 2.4ZQFTN 60 mg bid + CGSodium hyaluronate injection5 weeksTER, AE
Yang J, 2021 [37]202014//613//762.45 ± 4.2562.50 ± 4.00ZQFTN 60 mg tidGlucosamine hydrochloride capsules10 weeksTER, AE
Yu Z, 2021 [38]414123/1824/1760.78 ± 8.5161.42 ± 8.23ZQFTN 120 mg bidDiacerein capsules3 monthsTER, VAS, AE

EG: experimental group; CG: control group; -: not mentioned; ZQFTN: Zhengqing Fengtongning release tablets; TER: total effective rate; VAS: Visual Analog Scale; WOMAC: Western Ontario and Mc Master University Osteoarthritis Index; IL-1β: serum IL-1β level; TNF-α: serum TNF-α level; AE: adverse events.

3.3. Methodological Quality of Included Studies

Most of the included studies were of low quality because of unclear randomization, inefficient allocation concealment, inadequate blinding, or described withdrawals and dropouts. Nine studies [24, 25, 30–33, 35–37] were grouped by the random number table method (low risk), and nine studies [21–23, 26–29, 34, 38] did not indicate a specific randomization method (unclear). Eighteen studies [21-38] did not implement allocation hiding (high risk) or blinding (high risk), while sixteen studies [23, 24, 26–38] had complete data (low risk). Because none of the eighteen studies had clinical trial registration in advance, the results of selective reporting were unclear, and none of the eighteen studies found other sources of bias (low risk). The risk of bias assessment is summarized in Figure 2.
Figure 2

Risk of bias summary and risk of bias graph.

3.4. Treatment Effects

3.4.1. Total Effective Rate

The total effective rate is an important indicator for assessing the effect of treatment, which is mainly based on the changes in the patient's clinical symptoms before and after treatment. A total of seventeen of the included studies reported the total effective rate, but their criteria for judging the treatment effect included the WOMAC score, Lequesne index, and hospital for special surgery knee score. To enhance the strength of the results, we only performed meta-analysis on the six studies that used WOMAC scores to determine the total effective rate, involving a total of 534 patients, with 267 in the experimental group and 267 in the control group. The results of heterogeneity analysis showed good homogeneity among the included studies (P=0.46, I2 = 0%), and the fixed effect model was used for analysis. The results showed that the total effective rate of the experimental group was higher than that of the control group (RR = 1.15, 95% CI: [1.07, 1.23], P < 0.001). The analysis was divided into three subgroups according to different treatment methods of the experimental group. The results of the subgroup analysis showed that the total effective rate of ZQFTN alone was equivalent to that of SYSADOA alone (MD = 1.13, 95% CI: [0.99, 1.28], P=0.06). The total effective rate of ZQFTN combined with SYSADOA was higher than that of SYSADOA alone (RR = 1.18, 95% CI: [1.07, 1.30], P < 0.001). The total effective rate of ZQFTN combined with NSAIDs was equivalent to that of NSAIDs alone (RR = 1.06, 95% CI: [0.85, 1.33], P=0.03) (Figure 3).
Figure 3

Forest plot of total effective rate.

3.4.2. VAS

Four studies [30, 31, 35, 38] reported a pain VAS after treatment, involving a total of 294 patients, 147 in the experimental group, and 147 in the control group. Heterogeneity analysis results showed good homogeneity among the included studies (P=0.17, I2 = 40%), and the fixed effect model was used for analysis. Results showed that the VAS of the experimental group was lower than that of the control group after treatment (SMD = −0.87, 95% CI: [−1.08, −0.66], P < 0.001). The results of subgroup analysis showed that the VAS of ZQFTN alone was lower than that of SYSADOA after treatment (SMD = −0.83, 95% CI: [−1.28, −0.38], P < 0.001). The VAS of the ZQFTN combined with the SYSADOA group was lower than that of SYSADOA alone after treatment (SMD = −0.72, 95% CI: [−1.00, −0.45], P < 0.001). The VAS of ZQFTN combined with sodium hyaluronate injection was lower than that of sodium hyaluronate injection alone after treatment (SMD = −1.30, 95% CI: [−1.76, −0.85], P < 0.001) (Figure 4).
Figure 4

Forest plot of VAS.

3.4.3. WOMAC Pain Score

Four studies [23, 26, 28, 31] reported the WOMAC pain score after treatment, involving 366 patients (183 in the experimental group and 183 in the control group). Heterogeneity analysis showed good homogeneity among the included studies (P=0.90, I2 = 0%), and the fixed effect model was used for the analysis. The results showed that after treatment, the WOMAC pain score in the experimental group was lower than that in the control group (SMD = −0.67, 95% CI: [−0.88, −0.46], P < 0.001). The results of subgroup analysis showed that the WOMAC pain score of ZQFTN alone was lower than that of SYSADOA after treatment (SMD = −0.60, 95% CI: [−0.91, −0.28], P < 0.001). The WOMAC pain score of ZQFTN combined with SYSADOA was lower than that of SYSADOA alone after treatment (SMD = −0.73, 95% CI: [−1.02, −0.45], P < 0.001) (Figure 5).
Figure 5

Forest plot of WOMAC pain score.

3.4.4. WOMAC Stiffness Score

Four studies [23, 26, 28, 31] reported the WOMAC stiffness score after treatment, involving 366 patients (183 in the experimental group and 183 in the control group). The results of the heterogeneity analysis showed that there was significant heterogeneity among the included studies (P=0.06, I2 = 59%), and the random effect model was used to analyze the results. After treatment, the WOMAC stiffness score in the experimental group was lower than that in the control group (SMD = −0.53, 95% CI: [−0.86, −0.20], P=0.001). Subgroup analysis showed that there was no significant difference in the WOMAC stiffness score between the ZQFTN and SYSADOA groups after treatment (SMD = −0.24, 95% CI: [−0.55, −0.06], P=0.12). The WOMAC stiffness score of ZQFTN combined with SYSADOA was lower than that of SYSADOA alone after treatment (SMD = −0.82, 95% CI: [−1.10, −0.53], P < 0.001) (Figure 6).
Figure 6

Forest plot of WOMAC stiffness score.

3.4.5. WOMAC Function Score

Four studies [23, 26, 28, 31] reported the WOMAC function score after treatment, involving 366 patients (183 in the experimental group and 183 in the control group). Heterogeneity analysis showed good homogeneity among the included studies (P=0.15, I2 = 43%), and the fixed effect model was used for the analysis. The results showed that after treatment, the WOMAC function score in the experimental group was lower than that in the control group (SMD = −0.76, 95% CI: [−0.97, −0.55], P < 0.001). The results of the subgroup analysis showed that the WOMAC function score of ZQFTN alone was lower than that of SYSADOA after treatment (SMD = −0.78, 95% CI: [−1.09, −0.46], P < 0.001). The WOMAC function score of ZQFTN combined with SYSADOA was lower than that of SYSADOA alone after treatment (SMD = −0.75, 95% CI: [−1.04, −0.46], P < 0.001) (Figure 7).
Figure 7

Forest plot of WOMAC function score.

3.5. Serum IL-1β Level

Four studies [15, 16, 24, 28] reported the serum IL-1β level after treatment, involving 368 patients (184 in the experimental group and 184 in the control group). The results of the heterogeneity analysis showed that there was significant heterogeneity among the included studies (P < 0.001, I2 = 97%), and the random effect model was used to analyze the results. The results showed that the serum IL-1β level of the experimental group was lower than that of the control group after treatment (SMD = −4.36, 95% CI: [−6.41, −2.31], P < 0.001). The results of subgroup analysis showed that the serum IL-1β level of ZQFTN alone was lower than that of SYSADOA after treatment (SMD = −5.43, 95% CI: [−6.11, −4.76], P < 0.001). The serum IL-1β level of the ZQFTN combined with SYSADOA group was lower than that of SYSADOA alone after treatment (SMD = −4.73, 95% CI: [−5.51, −3.94], P < 0.001). The serum IL-1β level of ZQFTN combined with NSAIDs was lower than that of NSAIDs alone after treatment (SMD = −1.86, 95% CI: [−2.33, −1.40], P < 0.001) (Figure 8).
Figure 8

Forest plot of serum IL-1β level.

3.6. Serum TNF-α Level

Five studies [15, 16, 24, 28, 30] reported the serum TNF-α level after treatment, involving 458 patients (229 in the experimental group and 229 in the control group). The results of the heterogeneity analysis showed that there was significant heterogeneity among the included studies (P < 0.001, I2 = 99%), and the random effect model was used to analyze the results. The results showed that the serum TNF-α level of the experimental group was lower than that of the control group after treatment (SMD = −8.45, 95% CI: [−11.20, −5.69], P < 0.001). The results of the subgroup analysis showed that the serum TNF-α level of ZQFTN alone was lower than that of SYSADOA after treatment (SMD = −24.30, 95% CI: [−41.18, −7.43], P=0.005). The serum TNF-α level of the ZQFTN combined with SYSADOA group was lower than that of SYSADOA alone after treatment (SMD = −0.91, 95% CI: [−1.32, −0.49], P < 0.001). The serum TNF-α level of ZQFTN combined with NSAIDs was lower than that of NSAIDs alone after treatment (SMD = −1.50, 95% CI: [−1.94, −1.06], P < 0.001). The serum TNF-α level of ZQFTN combined with sodium hyaluronate injection was lower than that of sodium hyaluronate injection alone after treatment (SMD = −3.15, 95% CI: [−3.78, −2.52], P < 0.001) (Figure 9).
Figure 9

Forest plot of serum TNF-α level.

3.7. Adverse Events

Fifteen studies [21, 23–32, 35–38] reported the adverse events after treatment, involving 1285 patients (644 in the experimental group and 641 in the control group). Heterogeneity analysis showed good homogeneity among the included studies (P=0.42, I2 = 3%), and the fixed effect model was used for the analysis. The results showed that there was no significant difference between the experimental group and the control group (RR = 0.96, 95% CI: [0.69, 1.35], P=0.82). The results of the subgroup analysis showed that ZQFTN alone had less adverse events than SYSADOA alone (RR = 0.45, 95% CI: [0.21, 0.95], P=0.04). There was no significant difference between the ZQFTN combined with SYSADOA group and the SYSADOA group (RR = 1.04, 95% CI: [0.61, 1.78], P=0.87). There was no significant difference in adverse events between ZQFTN combined with NSAIDs and NSAIDs alone (SMD = 1.44, 95% CI: [0.73, 2.83], P=0.30). There was no significant difference in adverse events between ZQFTN combined with sodium hyaluronate injection and sodium hyaluronate injection alone (RR = 1.49, 95% CI: [0.51, 4.31], P=0.46) (Figure 10).
Figure 10

Forest plot of adverse events.

3.8. Publication Bias

The inverted funnel plot of publication bias was generated with the adverse reactions as indicators, and the scatter point distribution of each study was asymmetric, suggesting the possibility of publication bias in this study (Figure 11).
Figure 11

Publication bias of the funnel plot of adverse events.

4. Discussion

Sinomenium acutum is the vine stem of the Asteraceae plant and Chinese Anseraceae plant among others. It is a TCM, which has the function of dispelling wind dampness, channelling channels and collaterals, and relieving urination, and is often used to treat rheumatoid arthritis, OA, and gout arthritis [42]. Sinomenine is an alkaloid extracted from Sinomenium acutum and is the main active ingredient of Sinomenium acutum. Experimental studies have found that sinomenine has clear anti-inflammatory and analgesic effects. Its anti-inflammatory effect mainly results from its selective inhibition of cyclooxygenase-2 activity, whereby capillary permeability is reduced by downregulating prostaglandin E synthesis, or preventing histamine-induced capillary permeability increase by inhibiting the release of various inflammatory mediators, thus blocking inflammatory infiltration and exudation. Sinomenine also has anticoagulation and antiembolism effects and reduces tissue damage [20]. Studies have shown that sinomenine can reduce synovial inflammation and cartilage degeneration by inhibiting the expression of inflammatory factors and chondrocyte apoptosis, thus delaying the progression of osteoarthritis [43]. ZQFTN as an oral preparation of sinomenine has been used ever more frequently in the clinical treatment of OA.

4.1. Effectiveness of ZQFTN in Treating KOA

Through a literature search, it was found that ZQFTN could be used as a complementary drug in combination with SYSADOA, NSAIDs, or sodium hyaluronate, or used alone as an alternative drug for KOA. The results showed that ZQFTN has good efficacy, but due to the influence of inconsistent treatment methods, insufficient sample size, and other factors, the conclusions were frequently unconvincing and the evidence basis was not strong. To determine the effectiveness of oral ZQFTN in KOA treatment, 18 RCTs were included in the present study, including 1512 KOA patients. The results of the meta-analysis showed that ZQFTN could effectively relieve knee pain, morning stiffness, and daily activity disturbance. The VAS and WOMAC scores were lower than the control group, and the total clinical effectiveness rate was higher than the control group, indicating that ZQFTN had significant clinical efficacy as a CAM for KOA. The results of serum IL-1β and TNF-α showed that their respective levels in the experimental group were lower than those in the control group, suggesting that the mechanism of ZQFTN in treating KOA may be associated with its ability to reduce inflammation.

4.2. Safety of ZQFTN in Treating KOA

Adverse events related to drug treatment were recorded in 15 studies, and meta-analysis results showed that there was no significant difference in the incidence of adverse reactions between the experimental and control groups. The reported adverse reactions were mainly gastrointestinal, including nausea and diarrhea, and allergic reactions, such as pruritus and rash, which were consistent with the adverse events recorded in the instructions of ZQFTN, SYSADOA, and NSAIDs. Eight studies monitored the changes of blood routine and liver and kidney functions during medication, including 737 KOA patients. The results showed that a total of five patients in the experimental groups displayed a slight increase in transaminases, while a further seven patients in control groups showed a slight increase in transaminases, which returned to normal after symptomatic treatment. These results indicated that the use of ZQFTN did not increase the risk for adverse events and that it was safe as a CAM for KOA.

4.3. Limitations of the Study

Through a comprehensive analysis of the included literature, the following problems were found to generally exist in this literature: (1) There was no allocation concealment or blind method in all studies, and strict and careful experimental design was lacking. (2) The sample size of some of the literature was small, and the calculation basis of sample size was not given. (3) There were differences in medication duration and dosage in the included studies, which were not conducive to the formation of standardized medication guidance. (4) Because there is no standardized ZQFTN in other countries, all analyzed studies were performed in China, which may have led to a certain bias.

5. Conclusion

This study demonstrated that ZQFTN has high clinical efficacy and safety in the treatment of KOA and thus has considerable potential as a CAM for KOA. However, due to the limitation of the quality of included studies, the strength of this conclusion is affected. In the next step, multicenter, large sample, high-quality randomized controlled studies are needed to further confirm the present conclusion.
  20 in total

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Authors:  Cynthia P Cordero; Antonio L Dans
Journal:  J Clin Epidemiol       Date:  2021-02       Impact factor: 6.437

2.  Risk of bias reporting in Cochrane systematic reviews.

Authors:  Lisa Hopp
Journal:  Int J Nurs Pract       Date:  2014-03-12       Impact factor: 2.066

3.  Sinomenine alleviates dorsal root ganglia inflammation to inhibit neuropathic pain via the p38 MAPK/CREB signalling pathway.

Authors:  Xiaoqing Wang; Yatao Liu; Hong Zhang; Jianping Jin; Yuqing Ma; Yufang Leng
Journal:  Eur J Pharmacol       Date:  2021-02-14       Impact factor: 4.432

4.  Global, regional and national burden of osteoarthritis 1990-2017: a systematic analysis of the Global Burden of Disease Study 2017.

Authors:  Saeid Safiri; Ali-Asghar Kolahi; Emma Smith; Catherine Hill; Deepti Bettampadi; Mohammad Ali Mansournia; Damian Hoy; Ahad Ashrafi-Asgarabad; Mahdi Sepidarkish; Amir Almasi-Hashiani; Gary Collins; Jay Kaufman; Mostafa Qorbani; Maziar Moradi-Lakeh; Anthony D Woolf; Francis Guillemin; Lyn March; Marita Cross
Journal:  Ann Rheum Dis       Date:  2020-05-12       Impact factor: 19.103

5.  The efficacy of topical sesame oil in patients with knee osteoarthritis: A randomized double-blinded active-controlled non-inferiority clinical trial.

Authors:  Alireza Askari; Seyed Ali Ravansalar; Mohammad Mehdi Naghizadeh; Seyed Hamdollah Mosavat; Mahmood Khodadoost; Arezoo Moini Jazani; Mohammad Hashem Hashempur
Journal:  Complement Ther Med       Date:  2019-08-22       Impact factor: 2.446

6.  Sinomenine inhibits proliferation, migration, invasion and promotes apoptosis of prostate cancer cells by regulation of miR-23a.

Authors:  Feng Xu; Qi Li; Zhiyu Wang; Xiangming Cao
Journal:  Biomed Pharmacother       Date:  2019-02-18       Impact factor: 6.529

Review 7.  Analgesic Mechanism of Sinomenine against Chronic Pain.

Authors:  Wei Jiang; Weiming Fan; Tianle Gao; Tao Li; Zhenming Yin; Huihui Guo; Lulu Wang; Yanxing Han; Jian-Dong Jiang
Journal:  Pain Res Manag       Date:  2020-05-06       Impact factor: 3.037

8.  Evaluation of the Therapeutic Effect of Traditional Chinese Medicine on Osteoarthritis: A Systematic Review and Meta-Analysis.

Authors:  Lin Wang; Xiao-Fei Zhang; Xue Zhang; Dong-Yan Guo; Yu-Wei Duan; Zhi-Chao Wang; Li-Shan Pei; Han Ru; Jiang-Xue Cheng; Ya-Jun Shi; Jun-Bo Zou
Journal:  Pain Res Manag       Date:  2020-12-14       Impact factor: 3.037

Review 9.  Management of Osteoarthritis: Expert Opinion on NSAIDs.

Authors:  Alberto Magni; Piergiuseppe Agostoni; Cesare Bonezzi; Giuseppe Massazza; Paolo Menè; Vincenzo Savarino; Diego Fornasari
Journal:  Pain Ther       Date:  2021-04-19
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Review 1.  Molecular Mechanistic Pathways Targeted by Natural Compounds in the Prevention and Treatment of Diabetic Kidney Disease.

Authors:  Kaixuan Zhou; Xue Zi; Jiayu Song; Qiulu Zhao; Jia Liu; Huiwei Bao; Lijing Li
Journal:  Molecules       Date:  2022-09-21       Impact factor: 4.927

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