Literature DB >> 32834992

Chinese medical drugs for coronavirus disease 2019: A systematic review and meta-analysis.

Wentai Pang1, Zhi Liu1, Nan Li1, Yuyun Li1, Fengwen Yang1, Bo Pang1, Xinyao Jin1, Wenke Zheng1, Junhua Zhang1.   

Abstract

BACKGROUND: Integration of Chinese medical drugs (CMD) and western medicine (WM) has been widely used in the treatment of Coronavirus Disease 2019 (COVID-19). This systematic review aimed to evaluate the efficacy and safety of CMD for COVID-19.
METHOD: A literature search was performed in six databases from injection to June 2020. Both randomized controlled trials (RCTs) and quasi-RCTs were considered as eligible. The quality of included RCTs were assessed by Cochrane Risk of Bias Tool, and Review Manager 5.3 software was used to do meta-analysis. RESULT: Eleven studies with 1259 patients were included in this study. CMD included herbal decoction and Chinese patent medicine. The methodological quality was evaluated as generally unclear. The results of meta-analysis showed that the integration of CMD and WM had better efficacy than WM in number of patients turned to severe and critical type (RR = 0.47, 95% CI=[0.32, 0.69], P < 0.0001), length of hospital stay (MD= -7.95, 95% CI=[-14.66, -1.24], P = 0.02), defervescence time (MD= -1.20, 95% CI=[-2.03, -0.38], P = 0.004), cough resolution rate (RR = 1.37, 95% CI=[1.15, 1.64], P = 0.0004), fatigue resolution rate (RR = 1.37, 95% CI=[1.02, 1.83], P = 0.04), and tachypnea resolution rate (RR = 2.20, 95% CI=[1.11, 4.39], P = 0.02). As for safety, there was no significant difference between two groups.
CONCLUSION: CMD may bring potential benefit to patients suffered from COVID-19. However, the quality of included trials is not good enough. High quality study with core outcome set are still required. .

Entities:  

Keywords:  Chinese medical drug; Core outcome set; Coronavirus disease 2019; Integrative medicine; Meta analysis; Systematic review

Year:  2020        PMID: 32834992      PMCID: PMC7385501          DOI: 10.1016/j.imr.2020.100477

Source DB:  PubMed          Journal:  Integr Med Res        ISSN: 2213-4220


Introduction

Coronavirus Disease 2019 (COVID-19) is a pandemic infection disease caused by 2019 novel coronavirus (2019-nCoV). The pathogenesis of COVID-19 is similar to pneumonia induced by other viruses. Specifically, 2019-nCoV infection can cause systemic inflammation, fever, hypoxia, electrolyte imbalance, acid-base disturbance and even shock.2, 3 Overaction of immune system lead to cytokine storm and excessive oxidative stress may be responsible for disease progression and even death.4, 5 COVID-19 can be classified into mild, ordinary, severe and critical types based on disease severity. The clinical features of mild and ordinary disease include fever, dry cough, fatigue, etc, or without prominent symptoms.6, 7, 8 On the other hand, severe and critical COVID-19 may develop acute respiratory distress syndrome, septic shock, refractory metabolic acidosis, coagulation dysfunction and multi -organ failure, and even death.9, 10, 11 In China, COVID-19 has been well controlled, with a total of 83,537 confirmed cases and 4634 deaths (July 2, 2020). Compared with the treatment strategies adopted by different countries, it was possible that integration of Chinese medical drugs (CMD) and western medicine (WM) helped the disease control in China. According to the data obtained from the National Administration of Traditional Chinese Medicine, 91.5% of confirmed cases were treated with CMD in China. Study showed CMD could relieve symptoms, prevent disease progression and reduce mortality rate. Core outcome set (COS) refers to an agreed-upon standard set of outcomes that should be measured and reported across different studies. The establishment of a COS helps to unify and compare results obtained from different clinical trials. It can improve the practicability, comparability, and transparency of the results.16, 17 In March 2020, Chinese Clinical Trials Core Outcome Set Research Center has published a COS for Clinical Trials on COVID-19 (COS-COVID), in order to regularize the clinical trial of COVID-19. In order to provide high-quality and practicable evidence for CMD in the treatment of COVID-19 and future research, based on COS -COVID, we conducted systematic review and meta-analysis on studies of CMD in treatment of COVID-19.

Methods

Study registration

The protocol of this systematic review was registered on PROSPERO (CRD42020176282), and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

Ethical statement

The ethical approval was waived considering this is a literature review article.

Criteria for study inclusion

Type of study: Randomized Controlled Trials (RCTs) and quasi- RCTs, published in English or Chinese. Patients: Patients diagnosed as COVID-19 according to relevant diagnostic criteria (Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia Trial Version 5-720, 21, 22). No limitation of age, gender, nationality, birthplace and ethnicity. Intervention and Comparison: CMD including herbal decoction and Chinese patent medicine were all analyzed as one entity in this study. The comparisons were set as: (1) CMD or CMD + WM compared with WM. (2) CMD or CMD + WM compared placebo. The type of WM used in each comparison remained the same. The difference of dosage was not powered to be detected in this study.

Outcome

Primary outcome: Composite events (number of patients turned to severe and critical type, all-cause death); Rate of 2019-nCoV reverse transcription- polymerase chain reaction (RT-PCR) turned to negativity; Length of hospital stay; Arterial oxygen partial pressure (PaO2)/fraction of inspired oxygen (FiO2); Duration of mechanical ventilation; Clinical symptoms score. The primary outcome were chosen from COS-COVID (Supplement 1). Secondary outcome: Defervescence time/rate; Cough resolution time/rate; Fatigue resolution time/rate; tachypnea resolution time/rate; Diarrhea resolution time/rate; Body pain resolution time/rate. Adverse event: Allergy, digestive tract dysfunction; Blood, urine and stool tests abnormalities; Impaired heart, liver and kidney function.

Criteria for study exclusion

Incorrect or incomplete data. Received integration of CMD and WM in control group. Repeated publications, only the first was included.

Information source and search strategy

Six databases were searched to retrieve clinical trials, including SinoMed, China National Knowledge Infrastructure (CNKI), WanFang Database, PubMed, Embase and Cochrane Library about CMD in the treatment of COVID-19, from injection to June 5. 2020. The keywords applied in the search were: COVID-19, coronavirus disease 2019, novel coronavirus disease, SARS-CoV-2, novel coronavirus infection, integrative medicine, traditional Chinese medicine, herbal medicine, herbal injection, Chinese patent medicine. Taking PubMed as an example, the combination of MeSH terms and free words were used to develop literature search strategy (Supplement 2).

Study screening and data extraction

The study screening procedures were as follows: (1) Read title and abstract of the manuscripts and eliminated studies based on the inclusion and exclusion criteria. (2) The full text would be examined if additional information was required in the screening process. We designed a standardized data extraction sheet, the extract content included: title, author, study time, sample size, age and gender of patients, diagnosis, duration of disease, intervention measures, course of treatment and follow-ups, outcomes. When complete information could not be obtained, we contacted the author of the literature by email and excluded the study if failed. Study screening and data extraction were conducted by two researchers independently. Disagreement was resolved after consensus or consultant with the third researcher.

Quality assessment

The quality of RCTs were assessed by Cochrane Risk of Bias (ROB) assessment tool, which included six aspects: (1) Random sequence generation, (2) Allocation concealment, (3) Blinding of patients and personnel, (4) Incomplete outcome data, (5) Selective reporting, (6) Other bias. The assessment results were presented as “low risk”, “high risk” and “unclear risk”. The quality assessment was conducted by two researchers independently. Disagreement was resolved after consensus or consultant with the third researcher.

Statistical analysis

Review Manager 5.3 was used to do meta-analysis. Dichotomous data were presented as risk ratio (RR), continuous data were calculated as mean difference (MD), clinical symptoms score was calculated as Std mean difference (SMD), and all data was presented with 95% confidence intervals (CIs). Due to the variability between included studies, random effect model was selected to pool the data. The statistical heterogeneity was assessed by P value and I² test. If I²≤50% and P > 0.05, the heterogeneity among included studies was considered low. If I²>50% or P ≤ 0.05, the heterogeneity among included studies was considered high. If available data were enough, subgroup analysis or sensitivity analysis would be conducted. The publication bias was evaluated by funnel plot.

Certainty of evidence

The certainty of evidence was assessed by Grading of Recommendations Assessment, Development and Evaluation (GRADE), which considered five reasons: (1) Risk of bias, (2) Imprecision, (3) inconsistency, (4) Indirectness, (5) Publication bias. The main findings were presented by the Summary of Findings table. GRADE Pro GDT software (http://gradepro.org) was used to create the Summary of Findings table.

Result

Study screening

We extracted 2223 articles from 6 databases and excluded 616 due to redundancy. According to the screening criteria, 1526 articles were removed from our list based on their titles and abstracts. 81 articles were downloaded for further assessment, and 70 articles were excluded due to following reasons (1) Not clinical trial (n = 23); (2) Not RCTs (n = 39); (3) The outcome didn’t match the inclusion criteria (n = 4); (4) The intervention didn’t match the inclusion criteria (n = 2); (5) Repeated publications (n = 1); (6) Abstract (n = 1). As a result, eleven articles were included in this systematic review. The process of study screening is shown in Fig. 1.
Fig. 1

Flow diagram of study screening.

Flow diagram of study screening.

Study characteristics

The details of study characteristics are summarized in Table 1. Eleven RCTs 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34 enrolled a total of 1259 patients, 672 patients accepted integration of CMD and WM, 623 patients accepted WM alone. The CMD used in these studies including Chinese patent medicine and herbal decoction. Seven studies applied Chinese patent medicine (Lianhua qingwen granules, Jinhua qinggan granules, Toujie quwen granules),25, 26, 27, 28, 31, 32, 34 Four studies used herbal decoction (Qingfei paidu decoction, Qingfei touxie fuzheng decoction, Maxing xuanfei jiedu decoction,),24, 29, 30, 33 The outcomes that received the most attention were composite events (number of patients turned to the types of severe and critical; all-cause death), clinical symptoms (clinical symptoms score, defervescence, cough and fatigue resolution) and adverse event. Length of hospital stay was reported only twice and rate of 2019-nCoV RT-PCR turned to negativity was reported only once, no study reported PaO2/FiO2 and duration of mechanical ventilation.
Table 1

Basic characteristics of the included studies.

Authors [ref]Sample Size (T/C) Type of patientsAge(years) T/ CCourse of disease (days)T/CInterventionCourse of Treatment (days)OutcomeAdverse events
Ding 24100(51/49)mild ordinary severe54.7 ± 21.3/50.8 ± 23.55.3 ± 3.1/6.0 ± 3.7Qingfei touxie fuzheng decoction + WM* vs. WM10(1) Defervescence rate; (2) Cough resolution rate; (3) Tachypnea resolution rate; (4) Diarrhea resolution rate; (6) Adverse eventAbnormal liver function (T:2;C:3)
Duan 25123(82/41)mild52.0 ± 13.9/50.3 ± 13.22.7 ± 1.6/2.5 ± 1.5Jinhua qinggan granules + WM vs. WM5(1) Clinical symptoms score; (2) Number of patients turned to the types of severe and critical; (3) Defervescence rate (4) Cough resolution rate; (5) Fatigue resolution rate; (6) Diarrhea resolution rate; (7) Body pain resolution rate; (8) Adverse eventGastrointestinal reaction (T:27)
Fu_a2673(37/36)ordinary45.3 ± 7.3/44.7 ± 7.57.6 ± 1.3/8.5 ± 1.4Toujie quwen granules + WM vs. WM15(1) Number of patients turned to the types of severe and critical; (2) Adverse eventNR in details
Fu_b2765(32/33) mild ordinary43.3 ± 7.2/43.7 ± 6.57.56 ± 1.3/8.5 ± 1.6Toujie quwen granules + WM vs. WM10(1) Number of patients turned to the types of severe and critical; (2) Adverse event.NR in details
Hu 28284(142/142) mild ordinary50.4 ± 15.2/51.8 ± 14.89.5 ± 5.1/9.9 ± 5.9Lianhua qingwen granules + WM vs. WM14(1) Rate of 2019-nCoV RT-PCR turned to negativity; (2) Number of patients turned to the types of severe and critical; (3) Adverse eventGastrointestinal reaction (T:24; C:33); Abnormal liver function (T:32;C:32); Renal dysfunction (T:8;C:11); headache (T:1;C:1)
Li 2912(6/6) severe52.0 ± 6.6/50.0 ± 10.0NR/NRQingfei paidu decoction + WM vs. WM6(1) Length of hospital stay; (2) Adverse eventPruritus (T:1)
Qiu 3050(25/25) ordinary53.4 ± 18.4/51.3 ± 14.62.8 ± 0.8/3.2 ± 1.3Maxing Xuanfei Jiedu Decoction + WM vs. WM10(1) Clinical symptoms score; (2) Number of patients turned to the types of severe and critical; (3) Defervescence time (4) Cough resolution timeNot assessed
Sun 3157(32/25) NR45.4 ± 14.1/42.0 ± 11.74.4 ± 2.5/6.0 ± 4.4Lianhua qingke granules + WM vs. WM14(1) Number of patients turned to the types of severe and critical; (2) Defervescence rate; (3) Cough resolution rate; (4) Fatigue resolution rateNot assessed
Xiao 32200(100/100) mild60.9 ± 8.7/62.2 ± 7.55.5 ± 2.09/6.4 ± 3.0Sufeng jiedu capsule + WM vs. WM14(1) Defervescence time; (2) Cough resolution time; (3) Fatigue resolution time; (4) Adverse eventGastrointestinal reaction (T:2;C:1); Pruritus (T:1; C:2)
Ye3342(28/14) severe65 (53.5–69)/59 (47–67)NR/NRChinese herbal medicine + WM vs. WM7(1)Number of patients turned to the types of severe and critical; (2) All-cause deathNot assessed
Yu 34295(147/148) mild ordinary48.3 ± 9.6/47.3 ± 8.7NR/NRLianhua qingwen granules + WM vs. WM7(1) Number of patients turned to the types of severe and critical; (2) All-cause death; (3) Adverse eventNR in details

T, Treatment group/Experimental group; C, control group; NR, not reported; WM, western medicine; * Western medicine includes antibacterial, antiviral, hormone therapy, respiratory support, etc.

Basic characteristics of the included studies. T, Treatment group/Experimental group; C, control group; NR, not reported; WM, western medicine; * Western medicine includes antibacterial, antiviral, hormone therapy, respiratory support, etc. The quality of included RCTs were generally unclear. Eight studies reported adequate random sequence generation process were defined as low risk.24, 25, 27, 28,30, 31, 33, 34 One study reported allocation was concealed from laboratory personnel and outcome assessors, defined as low risk in selection bias and detection bias, high risk in performance bias. One study reported the blinding of patient, defined as low risk in performance bias. Two studies were not blinded due to emergency, defined as high risk in allocation concealment and blinding.28, 31 Incomplete outcome data had not been found in all studies, the risk of attrition bias were evaluated as low. Other parts of ROB were defined as unclear risk because of insufficient information (Fig. 2).
Fig. 2

Risks of bias. (A) Risks of bias of the included studies. The authors reviewed each item’s risk of bias for each included study. (B) Risks of bias of individual studies. +: low risk of bias; −: high risk of bias;? : unclear risk of bias.

Risks of bias. (A) Risks of bias of the included studies. The authors reviewed each item’s risk of bias for each included study. (B) Risks of bias of individual studies. +: low risk of bias; −: high risk of bias;? : unclear risk of bias.

Meta-analysis

Eight studies (989 patients) reported composite events (number of patients turned to severe and critical type, all-cause death).25, 26, 27, 28, 30, 31, 33, All of eight studies reported number of patients turned to severe and critical type. No heterogeneity was identified between eight studies (I2 = 0%). The result of meta-analysis suggested that CMD can reduce the number of patients turned to severe and critical type (RR = 0.47, 95% CI=[0.32, 0.69], P < 0.0001) (Fig. 3A). Two studies (337 patients) reported number of all-cause death.33, 34 No heterogeneity was identified between two studies (I2 = 0%). From the result of meta-analysis, we did not observe significant difference between experimental and control group (RR = 0.50, 95% CI = [0.08, 3.00], P = 0.45) (Fig. 3B).
Fig. 3

Comparison of Chinese medical drugs and Western medicine (CMD + WM) vs. Western medicine (WM) on (A) Number of patients turned to severe and critical type; (B) Number of all-cause death.

Comparison of Chinese medical drugs and Western medicine (CMD + WM) vs. Western medicine (WM) on (A) Number of patients turned to severe and critical type; (B) Number of all-cause death. One study reported the length of hospital stay. It showed that CMD can reduce the length of hospital stay, (MD= -7.95, 95% CI=[-14.66, -1.24], P = 0.02). There was no statistically significant difference between two groups in the rate of 2019-nCov RT-PCR turned to negativity and the clinical symptom score. None of studies reported the PaO2/FiO2 and the duration of mechanical ventilation. Besides, the results of meta-analysis showed that integration of CMD and WM has better efficacy than WM in defervescence time (MD= -1.20, 95% CI=[-2.03, -0.38], P = 0.004), cough resolution rate (RR = 1.37, 95% CI=[1.15, 1.64], P = 0.0004), fatigue resolution rate (RR = 1.37, 95% CI=[1.02, 1.83], P = 0.04), and tachypnea resolution rate (RR = 2.20, 95% CI=[1.11, 4.39], P = 0.02). As for other outcomes, the results did not show statistically significant difference between two groups (Table 2).
Table 2

The results of meta analysis of included studies.

OutcomeNumber of studySample Size(T/C)MeasuresEffect estimate (95 %CI)HeterogeneityPIncluded studies[ref]
Primary outcomes
Length of hospital stay16/6MD (—)−7.95 [-14.66, -1.24]0.02Li29
Rate of 2019-nCov RT-PCR turned to negativity1142/142RR (—)1.08 [0.94, 1.24]0.28Hu28
Clinical symptom score2125/125MD (Random)−0.84 [-2.15, 0.47]I2 = 92%0.21Duan,25 Qiu,30
Arterial oxygen partial pressure /Fraction of inspired oxygen0
Duration of mechanical ventilation0
Secondary outcomes
Defervescence time2125/125MD (Random)−1.20 [-2.03, -0.38]I2 = 77%0.004Qiu,30 Xiao,32
Defervescence rate3137/95RR (Random)1.18 [0.88, 1.60]I2 = 69%0.27Ding,24 Duan,25Sun,31
Cough resolution time2125/125MD (Random)−1.57 [-4.17, 1.03]I2 = 94%0.24Qiu,30 Xiao,32
Cough resolution rate3157/107RR (Random)1.37 [1.15, 1.64]I2 = 0%0.0004Ding,24] Duan,25 Sun,31
Fatigue resolution time1100/100MD (—)−0.33 [-0.78, 0.12]0.15Xiao32
Fatigue resolution rate296/51RR (Random)1.37 [1.02, 1.83]I2 = 11%0.04Duan,,25Sun,31
Tachypnea resolution rate118/17RR (—)2.20 [1.11, 4.39]0.02Ding,24
Diarrhea resolution rate217/13RR (Random)0.32 [0.01, 15.49]I2 = 87%0.56Ding,24 Duan,25
Body pain resolution rate118/12RR (—)1.17 [0.73, 1.87]0.52Duan,25
Adverse events8597/555RD (Random)0.03 [-0.02, 0.08]I2 = 83%0.31Ding,24 Duan,25 Fu_a,,26Fu_b,27 Hu,28Li,29Xiao,32Yu34

T, Treatment group/Experimental group; C, control group; MD, mean difference; RR, risk ratio;

The results of meta analysis of included studies. T, Treatment group/Experimental group; C, control group; MD, mean difference; RR, risk ratio; Eight studies (1152 patients) reported the adverse events.24, 25, 26, 27, 28, 29, 32, 34 Three of them reported no adverse events,26, 27, 34 and five studies reported the occurrence of adverse events included gastrointestinal reaction (nausea, vomiting, diarrhea, loss of appetite), abnormal liver function, renal dysfunction, headache and pruritus.24, 25, 28, 29, As shown in Table 1, gastrointestinal reaction was the main adverse event in both experiment and control groups. The result of meta analysis indicated there was no statistically significant difference between two groups. So CMD may not increase the incidence of adverse events (Table 2).

Publication bias

Since the sample of included study was small, the assessment of publication bias was waived. The certainty of evidence was generally moderate and low. The results of number of patients turned to the types of severe and critical, and defervescence time were moderate level. The results of length of hospital stay and resolution rate of cough, fatigue and tachypnea were low level. The main reasons of downgrade were unclear risk of bias and small sample size (Table 3).
Table 3

Summary of findings.

Chinese medical drug and western medicine compared to western medicine for coronavirus disease 2019
Patient or population: Patients with coronavirus disease 2019 Intervention: CHM + WM Comparison: WM
OutcomesNo. of participants (studies) Follow upCertainty of the evidence (GRADE)Relative effect (95% CI)Anticipated absolute effects
Risk with western medicineRisk difference with Chinese medical drug and western medicine
Number of patients turned to the types of severe and critical989 (8 RCTs)⨁⨁⨁◯ MODERATE aRR 0.47 (0.32 to 0.69)140 per 100074 fewer per 1000 (95 fewer to 43 fewer)
Length of hospital stay12 (1 RCT)⨁⨁◯◯ LOW a,bMD 7.95 lower (14.66 lower to 1.24 lower)
Defervescence time250 (2 RCTs)⨁⨁⨁◯ MODERATE a,cMD 1.2 lower (2.03 lower to 0.38 lower)
Cough resolution rate264 (3 RCTs)⨁⨁◯◯ LOW a,bRR 1.37 (1.15–1.64)523 per 1000194 more per 1000 (79 more to 335 more)
Fatigue resolution rate147 (2 RCTs)⨁⨁◯◯ LOW a,bRR 1.37 (1.02–1.83)431 per 1000160 more per 1000 (9 more to 358 more)
Tachypnea resolution rate35 (1 RCT)⨁⨁◯◯ LOW a,bRR 2.20 (1.11–4.39)353 per 1000424 more per 1000 (39 more to 1196 more)

GRADE Working Group grades of evidence: High certainty: We are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect. Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: Confidence interval; RR: Risk ratio; MD: Mean difference a. Unclear risk of bias b. Small sample size c. High heterogeneity.

Summary of findings. GRADE Working Group grades of evidence: High certainty: We are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect. Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect. *The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: Confidence interval; RR: Risk ratio; MD: Mean difference a. Unclear risk of bias b. Small sample size c. High heterogeneity.

Discussion

This systematic review evaluated the efficacy and safety of Chinese medical drugs for COVID-19 treatment. CMD has been widely used in China for the treatment of infectious disease, especially in the treatment of COVID-19. Many experimental studies and clinical trails have reported the anti-infection effects of CMD. The potential effect of CMD for COVID-19 mainly include: antivirus, anti-inflammation, immunoregulation, and target organs protection.36, 37

Summary of results

This systematic review included eleven RCTs investigated the efficacy and safety of CMD for the treatment of COVID-19. Meta-analyses showed that: (1) Less patients in CMD treatment group experienced disease progression; (2) CMD treatment was associated with the decreased length of hospital stay; (3) CMD treatment was associated with better efficacy in defervescence time, cough resolution rate, fatigue resolution rate, tachypnea resolution rate. (4) CMD treatment did not raise additional safe concerns compared with controls. The above discoveries suggested that CMD may increase the efficacy of WM in the treatment of COVID-19, which was consistent with the results of clinical observation and network pharmacology research.36, 38 FiO2/PaO2 ratio and ventilation time were not mentioned in these studies due to limited number of severe and/or critical cases enrolled. However, besides these two, all outcomes in the core outcome set were reported in different studies. It suggested that the core outcome set for COVID-19, i.e. COS-COVID, was well accepted by all related studies. However, it seemed that the outcomes like the number of patients turned to severe and critical type and clinical symptom resolution were more emphasized, especially among studies conducted early in the outbreak.

Overall completeness and applicability of the evidence

CMD may decreased the rate of disease progression, shorten the course of treatment, relief symptom and may not increase the incidence of adverse events. Although such results was promising, when referring to these results, the individual differences of patients should be paid attention to, especially the differences of TCM syndromes. And the specificity of COVID-19 across regions also needs to be considered.

Limitations of this review

There were several limitations of this systematic review. Firstly, we only included published clinical trials with limited sample size. Some trials which were not published were not included. There was potential publication bias. Secondly, most of COVID-19 clinical trials were carried out in real world practice leading to less frequent use of blind methods in the studies, and most of included studies did not report registration process. As a consequence, performance bias during clinical trials were not well controlled. Thirdly, the course of treatment in included studies were no more than 15 days and the follow-up was insufficient, which made the long-term efficacy of CMD for COVID-19 treatment could not be evaluated. Finally, this review evaluated the efficacy and safety of the integration therapy of CMD and WM in the treatment of COVID-19, which contained several different interventions and led to inter-study heterogeneity.

Comparison with prior systematic review

The results of this review are consistent with prior systematic reviews,39, 40, 41, 42 and substantially updated the evidence of CMD for COVID-19 treatment. Compared with the last published systematic review of RCTs, this review included four new RCTs,27, 28, 29, 30 and evaluated the efficacy focused on core outcomes. Compared with other three systematic reviews that included both RCTs and observational studies,39, 40, 41 this review excluded the observational studies and updated the data of RCTs.

Implications for practice and research

In this review, six kinds of Chinese medical drugs were evaluated, the results of meta- analyses showed CMDs had benefit effects. Thus CMD might be an option for better treatment of COVID-19. However, due to the limitation of evidence level and quality of included studies, we cannot make this recommendation with full confidence. Rigorous RCTs on CMD for the treatment of COVID-19 are still urgently needed, especially for the severe and critical type. Study investigator should pay more attention to COS- COVID. The course of treatment and follow up should be extended, in order to evaluate the long term efficacy of CMD. The quality of RCTs should be paid attention to, especially for blinding and registration. In conclusion, the results of meta- analysis suggested that CMD may bring benefit in the treatment of COVID-19 and may not increase the incidence of adverse events. However, the methodological quality of included studies was relatively unclear which might decrease the reliability of the results. Rigorous designed RCTs are still urgently needed.

Author contributions

Conceptualization: WP, ZL and JZ. Methodology: WP, ZL and JZ. Software: NL, YL and XJ. Validation: WP, ZL and JZ. Formal Analysis: WP and ZL. Investigation: WP and NL. Resources: WP and ZL. Data Curation: NL, YL and XJ. Writing – Original Draft: WP, ZL. Writing – Review & Editing: JZ, WZ, FY and BP. Visualization: WP, ZL and JZ. Supervision: JZ. Project Administration: WP and ZL. Funding Acquisition: JZ. All authors have read and approved the final manuscript.

Conflict of interest

The authors declared that there was no conflict of interest regarding the publication of this paper.

Funding

This work is supported by the COVID-19 Prevention and Treatment Drug Development Program (2020-CMKYGG-03).

Ethical statement

This work did not require an ethics approval as it did not involve any human or animal experiment.

Data availability

The authors confirm that the data supporting the findings of this study will be made available on request.
  21 in total

1.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

2.  [Recent advances in treatment of viral pneumonia using Chinese patent medicine].

Authors:  Tao Wang; Li-Feng Han; Yue-Fei Wang; Lin Miao; Jian Yang; Jun-Hua Zhang; Xiu-Mei Gao; Bo-Li Zhang
Journal:  Zhongguo Zhong Yao Za Zhi       Date:  2020-04

3.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Open Med       Date:  2009-07-21

Review 4.  Herbal Medicine for the Treatment of Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Lin Ang; Eunhye Song; Hye Won Lee; Myeong Soo Lee
Journal:  J Clin Med       Date:  2020-05-23       Impact factor: 4.241

Review 5.  A Review of Coronavirus Disease-2019 (COVID-19).

Authors:  Tanu Singhal
Journal:  Indian J Pediatr       Date:  2020-03-13       Impact factor: 1.967

6.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

Review 7.  Overlapping and discrete aspects of the pathology and pathogenesis of the emerging human pathogenic coronaviruses SARS-CoV, MERS-CoV, and 2019-nCoV.

Authors:  Jia Liu; Xin Zheng; Qiaoxia Tong; Wei Li; Baoju Wang; Kathrin Sutter; Mirko Trilling; Mengji Lu; Ulf Dittmer; Dongliang Yang
Journal:  J Med Virol       Date:  2020-02-21       Impact factor: 2.327

Review 8.  Review and Prospect of Pathological Features of Corona Virus Disease.

Authors:  H J Wang; S H Du; X Yue; C X Chen
Journal:  Fa Yi Xue Za Zhi       Date:  2020-02-25

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  Corrigendum to "Traditional Chinese medicine for COVID-19 treatment" [Pharmacol. Res. 155 (2020) 104743].

Authors:  Jun-Ling Ren; Ai-Hua Zhang; Xi-Jun Wang
Journal:  Pharmacol Res       Date:  2020-03-25       Impact factor: 7.658

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  11 in total

Review 1.  Traditional Chinese medicine treatment for COVID-19: An overview of systematic reviews and meta-analyses.

Authors:  Han-Ting Wu; Cong-Hua Ji; Rong-Chen Dai; Pei-Jie Hei; Juan Liang; Xia-Qiu Wu; Qiu-Shuang Li; Jun-Chao Yang; Wei Mao; Qing Guo
Journal:  J Integr Med       Date:  2022-06-24

2.  Herbal Medicine Intervention for the Treatment of COVID-19: A Living Systematic Review and Cumulative Meta-Analysis.

Authors:  Lin Ang; Eunhye Song; Xiao-Yang Hu; Hye Won Lee; Yaolong Chen; Myeong Soo Lee
Journal:  Front Pharmacol       Date:  2022-06-20       Impact factor: 5.988

3.  Traditional Chinese medicine injection for the treatment of viral pneumonia in children: A protocol for systematic review and meta-analysis.

Authors:  Li Fang; Jiaoru Pei; Song Mao; Liangxia Wu; Siqiong Jiang
Journal:  Medicine (Baltimore)       Date:  2021-04-23       Impact factor: 1.817

Review 4.  Evidence Mapping of 23 Systematic Reviews of Traditional Chinese Medicine Combined With Western Medicine Approaches for COVID-19.

Authors:  Ting Zhang; Xuechao Li; Yamin Chen; Liang Zhao; Jinhui Tian; Junhua Zhang
Journal:  Front Pharmacol       Date:  2022-02-07       Impact factor: 5.810

Review 5.  Complementary and alternative medicine (CAM) interventions for COVID-19: An overview of systematic reviews.

Authors:  Sae-Rom Jeon; Jung Won Kang; Lin Ang; Hye Won Lee; Myeong Soo Lee; Tae-Hun Kim
Journal:  Integr Med Res       Date:  2022-03-13

Review 6.  Clinical Evidence on the Use of Chinese Herbal Medicine for Acute Infectious Diseases: An Overview of Systematic Reviews.

Authors:  Xufei Luo; Yikai Zhang; Huishan Li; Mengjuan Ren; Yunlan Liu; Yunwei Liu; Yilin Zhang; Zhuoran Kuang; Yefeng Cai; Yaolong Chen; Xiaojia Ni
Journal:  Front Pharmacol       Date:  2022-02-25       Impact factor: 5.810

Review 7.  Herbal medicine for COVID-19: An overview of systematic reviews and meta-analysis.

Authors:  Lin Ang; Eunhye Song; Junhua Zhang; Hye Won Lee; Myeong Soo Lee
Journal:  Phytomedicine       Date:  2022-04-28       Impact factor: 6.656

8.  Toujie Quwen granule used with conventional western therapy for coronavirus disease 2019: A protocol for systematic review and meta-analysis.

Authors:  Peng Sun; Dongmei Yan; Bin Li; Liping Tang; Lingxia Xu; Fei Wang
Journal:  Medicine (Baltimore)       Date:  2021-06-18       Impact factor: 1.817

Review 9.  Contribution of traditional Chinese medicine combined with conventional western medicine treatment for the novel coronavirus disease (COVID-19), current evidence with systematic review and meta-analysis.

Authors:  Fei Jiang; Nana Xu; Yanxi Zhou; Jinxing Song; Jinjuan Liu; Hong Zhu; Jihong Jiang; Yonghong Xu; Rongpeng Li
Journal:  Phytother Res       Date:  2021-07-13       Impact factor: 6.388

Review 10.  A review of natural products, their effects on SARS-CoV-2 and their utility as lead compounds in the discovery of drugs for the treatment of COVID-19.

Authors:  Robert L Chapman; Shridhar V Andurkar
Journal:  Med Chem Res       Date:  2021-12-02       Impact factor: 1.965

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