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Safety and efficiency of stem cell therapy for COVID-19: a systematic review and meta-analysis

Global Health Research and Policy volume 7, Article number: 19 (2022) Cite this article

Abstract

Background

With the COVID-19 pandemic continuing, various treatments have become widely practiced. Stem cells have a wide range of applications in the treatment of lung diseases and have therefore been experimentally used to treat patients with COVID-19, but whether the expanded use of stem cells is safe and reliable still lacks enough evidence. To address this issue, we systematically reviewed the safety and efficiency of stem cell therapy in COVID-19 cases.

Methods

We searched PubMed, Embase, Web of Science, The Cochrane Library, CNKI, WanFang, VIP and SinoMed up to January 18, 2022. The included studies were assessed using the Risk-of-bias tool 1.0 and MINORS instrument. The adverse events, mortality, length of hospital day and laboratory parameters were analyzed by meta-analysis. We adhered to PRISMA reporting guideline.

Results

We have included 17 studies meeting the inclusion data. There were no significant differences in AEs (OR = 0·39, 95% CI = 0·12 to 1·33, P = 0·13, I2 = 58%) and SAEs (OR = 0·21, 95% CI = 0·04 to 1·03, P = 0·05, I2 = 0%) between stem cell therapy group and control group. The analysis showed that stem cell treatment could significantly reduce the mortality rate(OR = 0·24, 95% CI = 0·13 to 0·45, P < 0·01, I2 = 0%), but was not able to cause changes in length of hospital stay or most laboratory parameters.

Conclusions

The present study shows that stem cell therapy for COVID-19 has a remarkable effect on efficiency without increasing risks of adverse events and length of hospital stay. It is potentially necessary to establish the criteria for COVID-19 for stem cell therapy.

Introduction

In January 2020, the World Health Organization (WHO) Disease Outbreak News (DONs) confirmed the outbreak of coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1]. COVID-19 has proved to be more infectious than severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which are also caused by a coronavirus. By March 28th 2022, 480.9 million cumulative cases around the world have been reported, with 6.1 million deaths [2]. There is an urgent need to find an effective treatment in order to triumph over the pandemic.

COVID-19 has mainly caused lung injury and can also occasionally involve heart, kidney, and other organs, with manifestations varying from person to person. In the pathological progression of COVID-19, cytokine storm caused by virus induced over activation of immune cells is directly related to the occurrence of acute respiratory distress syndrome (ARDS) and contributes to the high mortality rate in severe cases [3]. Although the pathogenesis of COVID-19 has been clearly identified, there is still no specific therapy for this disease. As mentioned above, clinical studies have shown that COVID-19 patients have higher serum level of cytokines (including TNF-α, IFN-γ, IL-6) and C-reactive protein (CRP), which may account for these patients' severe symptoms and a higher case fatality rate [4]. Consequently, researchers are constantly striving to find an effective way of suppressing cytokine storm to reduce the mortality of COVID-19, so as to save patients’ lives.

A large number of clinical studies have shown that stem cell therapy has the functions of immune regulation, repair, and regeneration, which comes from stem cells’ ability of self-renewal and differentiation. Notably, among all kinds of stem cells, mesenchymal stem cells (MSCs) are the most promising type in clinical application [5]. MSCs can interact with immune cells and secret a variety of factors to inhibit excessive inflammatory reaction in COVID-19 patients, resulting in improved patient symptoms and reduced patient mortality [6]. In addition to this, several other types of stem cells are being used in pilot treatments of COVID-19 [7].

Therefore, stem cell treatment is proposed as a possible and effective way to prevent death and disability in COVID-19 patients. However, because treatment efficacy apparently varies according to dose, route of administration, and type of stem cells [8], more clinical work is needed to explore the best treatment options. In this article, we have systematically reviewed the safety and efficacy of the stem cell therapy for COVID-19.

Methods

Data sources and search strategy

We systematically searched PubMed, Embase, Web of Science, Cochrane Library and 4 other Chinese databases (Wanfang database, VIP database, China National Knowledge Internet (CNKI) and SinoMed database) using the keywords “SARS-CoV-2”, “COVID-19”, “Stem Cells”, and “Cell Therapy”. The complete search strategies for each database are shown in Additional file 1. All included articles were published before January 18th 2022.

Study selection

Inclusion criteria were as follows: (1) studies should be related to stem cell therapy for COVID-19 patients with RT-PCR confirmation; (2) the outcome indicators included at least one of the following: adverse events (AEs), mortality, length of hospital stay, and laboratory parameters; (3) original research where study design was either randomized controlled trial (RCT) or non-randomized controlled trial (NRCT); (4) the treatment of the control group should be placebo or standard care. We did not restrict the type of stem cells, their dosage or mode of application. All the articles included were in English or Chinese, as only databases in these two languages were searched. The study selection follows the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [9].

We used EndNote X9.3.3 software to eliminate duplicate imported documents. Four authors (Z.M.H., Y.X.C., S.M.H, and. L.R.H.) selected the included articles according to the title and abstract. Then, the same authors screened the articles for the second time by reading the full text. Where there were disagreements between screeners, this was resolved by discussion with researchers from the Evidence-Based Medicine Center of Zhongnan Hospital of Wuhan University.

Data extraction

Two reviewers extracted data from all eligible studies, and discrepancies were resolved by consensus. General information including author and publication year, country, number of patients, study design, cell type, administration method, control group treatment, number of transplanted cells, and frequency of cell treatment was recorded.

The primary outcome was safety based on AEs. To describe the occurrence of AEs, we extracted data from studies which reported the number of AEs and number of patients with AEs after removing duplicated samples. In one article which only mentioned no adverse reaction, AEs are considered as not reported. Only deaths that were reported explicitly as serious adverse events (SAEs) were counted in the data extraction. The treatment-related AEs were defined as adverse events that were stated explicitly in involved studies to be associated to the infusion, or at least probably to be related to the treatment.

The secondary outcome was efficiency based on mortality, length of hospital stay, and laboratory parameters. Laboratory outcomes included white blood cells (WBC) count, neutrophiles count, lymphocytes count, platelets (PLT) count, CRP level, IL-6 level, tumor necrosis factor α (TNF-α) level, D-dimer level, fibrinogen level, and ferritin level. To account for the different times of measurement of laboratory parameters, we set two time periods when combining the data on laboratory indicators: 0–4 days and 5–8 days, in order to conduct a meta-analysis on the data of a particular parameter within the same time period.

Quality assessment

According to the type of research article, we included 17 clinical controlled studies. The risk of bias of ten RCT articles was assessed by using the criteria of the Cochrane back review group, Risk-of-bias tool 1·0. This tool evaluates the quality of articles using seven aspects: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other biases. The evaluation results are high risk, unclear and low risk. While the risk of bias of seven NRCT articles was assessed by using the Methodological index for non-randomized studies (MINORS) instrument [10], which consists of twelve items. With 0 ~ 2 points for each item, 0 for not reported, 1 for reported without sufficient information and 2 for reported with adequate information, giving a total score of 24 points.

Statistical analysis

We only included literatures describing the original data to extract data. Standardized mean difference (SMD) and relative risk (RR) with corresponding 95% confidence intervals (CIs) were reported for continuous and binary variables, respectively. For continuous variables, if the authors only reported medians, ranges and/or interquartile ranges, we used a web tool to calculate the sample mean and standard deviation [11, 12]. To assess the heterogeneity across each study, I2 statistics was used. I2 > 50% was considered to have significant heterogeneity. Publication bias was tested by using Egger’s test and Begg’s test [13, 14]. We only detected publication bias of studies included in the mortality meta-analysis, and the studies included in the meta-analysis of other outcomes were not assessed due to small numbers.

Fixed effect model (FEM) was used when we combined data from different time points within the same time period (e·g·,0–4 day or 5–8 day) from the same study, and random effect model (REM) was used when we combined data from different studies within the same time period. To discern whether our conclusions were influenced by different study types (RCTs and NRCTs), we performed subgroup analyses of all outcomes that included more than 3 pieces of literature. All statistical analysis was performed using the package "meta"(version 5·2·0) of R 4·1·2 software. For binary variables of sparse data, hypergeometric normal model (HNM) was used to synthesize using the “metabin” function. Continuous variables were synthesized through the “metacount” function.

Results

Study characteristics

The initial literature search identified a total of 6174 potentially relevant records. After removing 2693 duplicates, 3481 articles were screened by titles and abstracts, and 3288 articles were excluded. 193 studies were reviewed using the full texts and finally 17 articles met the inclusion criteria and were included in the systematic review and meta-analysis (Fig. 1). Excluded studies and the reason are shown in Additional file 2. All included studies were clinical trials, of which ten [15,16,17,18,19,20,21,22,23,24] were RCTs while other seven were NRCTs [25,26,27,28,29,30,31]. Four studies [16, 17, 23, 24] were from the same clinical trial, and in addition to safety and efficacy of stem cell therapy, they also reported other characteristics such as radiological changes. Two studies [18, 19] by Shu et al. reported on the same trial, the first giving the outcome after 28 days and the second being the follow-up report after one year. The specific design features of the included studies are presented in Table 1.

Fig. 1
figure 1

PRISMA flow diagram. Summary of evidence search and study slection

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Table 1 Clinical and study characteristics
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Study quality assessment

For RCT studies, two of them [20, 21] lacked comprehensive information on random sequences in the original text, and one study [16] had obvious missing data. The study by Zhu, R et al. [20] adopted a single-blind method, and the study by Yendry Ventura‑Carmenate et al. [16] is an open-label trial, therefore, the item of blinding of participants and personnel were rated as high risk for these studies. For NRCT studies, all seven of them had control groups. The mean score was 17·86 (range 13–20) out of a total of 24 points. None of the studies counted sample sizes. Additional file 3. and Additional file 4. respectively show authors' judgments about each risk of bias item for RCT and scores of MINORS Scale for NRCT.

Patient characteristics

17 clinical studies were conducted in 6 countries with the total number of patients by country as follows: China (n = 296), United Arab Emirates (n = 139), Turkey (n = 41), Indonesia (n = 40), USA (n = 24), Germany (n = 23). The specific inclusion and exclusion criteria for patients in each study are shown in Additional file 5.

Intervention characteristics

In the 17 articles included, four types of cell therapies were used: (1) umbilical cord mesenchymal stem cells (UC-MSCs) [15, 18,19,20,21,22, 25, 27, 31]; (2) human bone marrow mesenchymal stem cells (BM-MSCs) [28]; (3) menstrual blood-derived mesenchymal stem cells (MenSCs) [26]; (4) peripheral blood non‑hematopoietic enriched stem cell cocktail (PB‑NHESC‑C) [16, 17, 23, 24]. Two other studies used mesenchymal stem cells but did not mention the source [29, 30]. Except for PB‑NHESC‑C administered by nebulization, other cells were administered by intravenous injection. The specific information of therapy dose and frequency can be found in Table 1.

Primary outcome: Safety

Adverse Events (AEs)

In the 17 studies involved, six studies mentioned AEs in both experimental and control groups [15, 16, 18,19,20, 26], while five studies mentioned AE in the experimental group only [22, 25, 27, 29, 30]. The other six studies did not mention AEs [17, 21, 23, 24, 28, 31]. Detailed information can be found in Table 2. It is worth mentioning that two studies reported all AEs from grade 1 to grade 4 according to Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 [15, 16] while another two studies reported AEs from grade 1 to grade 4 without stating whether CTCAE was referenced [18, 19, 26]. Other studies that mentioned AEs did not describe the specific criteria for AEs or SAEs [20, 22, 25, 27, 29, 30]. There were two studies which mentioned that no adverse effects were observed in the treatment group, and did not describe any adverse events, in these studies AEs were considered as not reported [23, 29].

Table 2 Numbers of AEs and patients with AEs
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There were 308 and 315 AEs reported in experimental and control groups respectively. In studies which mentioned AEs in both groups, AEs were reported in 61·69% (124/201) of patients in the experimental group, while there were 74·39% (122/164) in the control. We screened AEs with a frequency of more than 10, and the number of patients with elevated ALT and LDH in stem cell treatment group was more than that in control group, while the occurrence of ARDS, sepsis, and multiple organ failure was less than that in control group (Table 3). The remaining AEs reported in all studies are shown in Additional file 6.

Table 3 Most frequent adverse events
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A meta-analysis has been performed to compare the number of adverse events between the stem cell group and the control group and there was no significant difference (OR = 0·39, 95% CI = 0·12 to 1·33, P = 0·13, I2 = 58%). (Fig. 2).

Fig. 2
figure 2

Forest plot of adverse events (AEs): odds ratio (95% CI) and pooled estimates

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Serious adverse events (SAEs)

In the 17 studies involved, five studies reported the occurrence of serious adverse events [15, 16, 18, 25, 26]. There were 18 and 31 SAEs reported in the experimental and control groups respectively, and none of the SAEs were MSC treatment-related according to the authors. In studies which mentioned SAEs in both groups (no matter whether any SAE occurred), SAEs occurred in 4.94% (3/106) of patients in the experimental group, and 10.53% (8/76) in the control (Table 2). All the SAEs which occurred are listed in Additional file 7.

Shi, L et al. only reported a pneumothorax (CTCAE grade 3) in the stem cell group, and the patient recovered after conservative treatment [18]. Wei, F et al. reported a death due to respiratory failure, circulatory failure, and secondary infection, which was judged to be unrelated to MSC infusion [25]. Lanzoni, G et al. reported 2 and 16 SAEs while Ventura.et al. reported 35 and 57 SAEs in experimental and control groups respectively, without specific descriptions [15, 21].

In studies mentioning the number of patients with SAE, we also compare the number of patients having SAEs between experimental and control group and there was no significant difference. (OR = 0·21, 95% CI = 0·04 to 1·03, P = 0·05, I2 = 0%) (Fig. 3).

Fig. 3
figure 3

Forest plot of severe adverse events (SAEs): odds ratio (95% CI) and pooled estimates

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AEs Related to stem cell treatment

In the included studies, four infusion-related AEs were reported in two studies [15, 16]. A patient with bradycardia experienced a worsening of bradycardia and required brief vasopressors treatment [15]. Two patients in the experimental group experienced transient facial flushing and fever immediately on infusion, which resolved within 4 h [27]. The study also reported a serious hypoxemia within 12 h of infusion, which is considered to be associated with the progression of COVID-19, and the patient recovered after humidified high-flow nasal catheter oxygen therapy [27].

There were no other treatment-related AEs reported in the remaining studies.

Secondary outcome: efficiency

Mortality

There were four studies that were excluded from the mortality analysis on account of no reported mortality [17, 25] and duplication of data [23, 24]. Apart from this, there was one study [19] which reported mortality in the same study [18] after 1 year of follow-up and this was also excluded. Therefore, there were 12 clinical trials reporting mortality, in two [18, 27] of which, all participating patients survived. The total mortality rate was 16·13% (85/527), of which the stem cell group was 9.23% (25/271) and 23.44% (60/256) for the control group. Our meta-analysis showed stem cells therapy could decrease the mortality and the difference between stem cells and controls was statistically significant (OR = 0·24, 95% CI = 0·13 to 0·45, P < 0·01, I2 = 0%) in all clinical trials (Fig. 4). There was no significant publication bias according to the results of Egger’s test (P = 0.53) and Begg’s test (P = 0.58).

Fig. 4
figure 4

Forest plot of mortality: odds ratio (95% CI) and pooled estimates

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Hospitalization Time

There were 6 [17, 20, 21, 23, 24, 27] studies that reported the duration from intervention to discharge or recovery, two of which was excluded due to being a duplicated report of the same clinical trial [23, 24]. The results of meta-analysis showed that hospitalization time in the stem cell treatment group was numerically shorter than that in control group, but there was no significant difference. (SMD = -0·34, 95% CI = -0·73 to 0·05, P = 0·09, I2 = 41%) (Fig. 5).

Fig. 5
figure 5

Forest plot of hospitalization time: odds ratio (95% CI) and pooled estimates

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Laboratory parameters

Six articles provided original data of laboratory parameters [15, 16, 21, 25, 27, 29]. In fifteen meta-analyses over two time periods for ten parameters, only fibrinogen level on day 0–4 was significantly lower in patients treated with stem cell than in the control group (SMD = -1·02, 95% CI = -1·81 to -0·22, P = 0·01, I2 = 0%). All other parameters showed no significant statistical difference between stem cell group and control group (Fig. 6). However, WBC (day 5–8), neutrophiles (day 5–8), lymphocytes (day 5–8), platelets (day 5–8), CRP (day 0–4 and day 5–8), IL-6 (day 5–8), TNF-α (day 5–8), D-dimer (day 0–4), fibrinogen (day 5–8), and ferritin (day 5–8) showed a numeric improvement after stem cell treatment. Among all parameters, platelets, and ferritin showed a better improvement on day 5–8 compared to that on day 0–4, although there is still no statistical difference. Detailed results of meta-analysis can be found in Additional file 8.

Fig. 6
figure 6

Forest plot of laboratory parameters: standard mean difference (95% CI) and pooled estimates

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Subgroup analysis

The results of all subgroup analysis were consistent with the original results (Table 4), indicating that study types of included articles didn’t influence the results. Detailed information can be found in Additional file 9.

Table4 Subgroup analyses results
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Discussion

Stem cells have been used extensively in clinical trials for the treatment of respiratory diseases due to their differentiation and regenerative properties [32,33,34]. Currently, stem cell therapy has become an optional therapy for critically ill patients with COVID-19 [8]. In our article, we conducted a systematic review and meta-analysis and included 17 clinical trials using stem cells to treat COVID-19 patients. The risk of bias analysis indicated that several articles have poor methodological quality and the results were therefore unsatisfactory. Some of these biases may be related to the experimental design, while others are probably due to the urgency of the situation. One article mentioned that the researchers were unable to obtain sufficient stem cells at the time as the treatment need was urgent; some patients who should have been randomized to the intervention group were distributed to the control group [31]. Overall, the results of stem cell therapy trials for COVID-19 showed that stem cells could reduce mortality without increasing length of hospital day, and occurrence of adverse events, but the number of high-quality RCTs is still limited.

In the present article, we regarded safety of treatment as the primary outcome, as safety is always the top concern for any new treatment. We have described the safety of stem cell treatment by AEs, and analyzed the data extracted from studies which reported the number of AEs and number of patients with AEs. Although the difference between experimental groups and control groups was not statistically significant, lower incidence of both AEs and SAEs in the experimental group was shown in this research. Besides, according to the articles, the SAEs occurring were not considered to be treatment-related. These results strongly suggest that the infusion of stem cell is safe.

In all included studies, MSCs were the predominant donor cells for COVID-19 patients. A previous meta-analysis has shown that MSCs therapy causes no significant AEs compared to the control [35], while in another meta-analysis, the occurrence of AEs in the experimental group was significantly lower compared to the control group [36]. It is worth noting that, in the synthesis process of these two studies, double-zero studies (Data in both groups is zero) were ignored, which will inevitably lead to the bias of the synthesized results [37]. Therefore, we conducted the synthesis by using a HNM, which is suitable for the meta-analysis of rare events, and takes double-zero studies into consideration.

In addition to statistical amelioration, the adverse events included in this study were consistent with the characteristics of stem cell therapy. Studies have verified that MSCs expressed a low level of MHC I molecules, and did not express MHC II molecules or costimulatory molecules B7-1, B7-2, or CD40 [38]. Besides, in vivo studies also have confirmed that allograft MSCs do not elicit typical immune responses [39]. These are consistent with the result that no severe allergic reactions were reported in the MSCs treatment group. In addition, in previous cohort study, there were also no AEs in the treatment group [40].

Though this meta-analysis supports the contention that stem cell therapy is safe, the potential risks associated with intravenous infusion itself should also be considered. According to a previous study, different MSCs products show different levels of high procoagulant tissue factor (TF) and may adversely trigger immediate blood-mediated inflammatory response (IBMIR) [41], which can lead to potentially fatal adverse events. Although not reported in studies we have reviewed, thrombosis and embolism has been reported in other diseases [42,43,44,45]. Especially for COVID-19 patients with high coagulopathy, the risk of thrombosis after cell infusion is a serious concern [46]. Besides, higher infusion volumes and higher cell doses of MSCs increases the risk of thrombosis, so it is worthwhile exploring how to reduce the risk of thrombosis and achieve therapeutic goals with limited cell counts in clinical practice [46]. Therefore, due to the differences in function and complexity among different stem cells and the variations in stem cell doses, the safety of stem cell therapy still needs to be evaluated by more and larger clinical studies in the future.

In clinical practice, MSCs were the most frequently used stem cell in pulmonary disease, as well as in COVID-19 patients [7, 47]. MSCs possesses differentiation and regenerative properties. They can repair lung injury by secreting HGF, VEGF, and KGF to promote the regeneration of type II alveolar epithelial cells [48]. Moreover, MSCs can be attracted to inflammatory sites by different chemokines and exert functions of regulating various immune cells (such as NK cells, dendritic cells, B cells, T cells, neutrophils, and macrophages) through direct contact and paracrine effects [49]. It is necessary to understand that the deterioration in condition of COVID-19 patients is mainly related to cytokine upregulation and excessive inflammatory response [7]. In critically ailing patients, cytokine storm leads to severe illness and end organ dysfunction, which has a high mortality rate [8].

For the first time, in the present review we have made a meta-analysis of laboratory parameters including WBC, neutrophils, lymphocytes, PLT, CRP, IL-6, TNF-α, D-dimer, ferritin, and fibrinogen according to the time at which they were measured. Although they can only serve as intermediate outcomes and cannot replace the outcome measures, their changes can reflect the course of the disease to some extent. Most parameters didn’t show a significant difference after treatment between stem cell therapy and control group, however, the combined data still suggest stem cell treatment tends to reduce inflammation and benefited the patients, as all parameters indeed showed an amelioration trend. A large number of experimental animal studies and early clinical studies have also confirmed that MSCs play an efficient role in the treatment of COVID-19 or ARDS by inducing an anti-inflammatory response [32].

Pulmonary function is also an important indicator for evaluating stem cell therapy for COVID-19. Although we could not do a meta-analysis of oxygen saturation (SaO2 or SpO2) and oxygenation index (PaO2/FIO2) based on the available data, several systematic reviews still suggest that stem cell therapy is able to improve pulmonary function [7, 36, 47, 50]. Changes in some radiographic images also confirm this [17,18,19,20, 25, 26, 31], which is potentially related to decreased fibrosis and inflammation.

Efficacy assessment of stem cell therapy on mortality showed no deaths directly related to stem cell infusion in any of the included studies. The mortality rate of COVID-19 varies due to the different sample size and follow-up time. Our analysis indicated that stem cell therapy could significantly decrease mortality rate of COVID-19. Several systematic reviews have also confirmed that stem cell therapy reduces mortality of COVID-19 patients, which is highly likely to be a result of reduced systematic inflammation [8, 36, 47, 50, 51].

We also performed a meta-analysis of length of hospital stay. Although there is no significant decrease in the stem cell group compared to control group, the hospitalization time of COVID-19 patients was shortened numerically. Three articles [15, 26, 31] reported that MSCs could reduce the average recovery or improvement time significantly, while Wang et al. [36] found that only the average time of recovery was shortened significantly in the MSCs group, and the length of hospital stay showed no difference, which is mainly due to the small sample sizes and non-uniform admission criteria. Additionally, several studies pointed out that stem cell treatment achieved better clinical manifestations [16, 19, 31] or achieved a higher cumulative symptom remission rate [20], which suggests that stem cell therapy may improve the clinical condition of patients with COVID-19.

There were some limitations in our study. First, the relatively small number of eligible studies after multiple screenings and limited sample sizes may reduce the power of the conclusions. By March, 2022, there are still 168 registered clinical trials unpublished, ongoing, or terminated (see Additional file 10.). Second, patients’ demographic and clinical characteristics, stem cell type, way of administration, dose and frequency of treatment, and definitions of AE vary in different studies. Third, the number of high-quality studies was extremely limited, and we also did not conduct subgroup analyses for different qualities of literature. All these differences may affect the reliability of the result. More studies are needed to confirm the conclusion.

Conclusion

Stem cell therapy is a safe and efficient way to manage COVID-19 patients. It may substantially reduce mortality of COVID-19 patients without increasing the occurrence of adverse events and length of hospital stay. Meanwhile, the meta-analysis of laboratory parameters showed that inflammatory factors tended to decrease after stem cell infusion, providing possible insights into the mechanism of stem cell therapy for COVID-19. More clinical trials are needed to confirm the conclusion, and we also need a standardized clinical protocol to guide stem cells treatment for COVID-19.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

WHO:

World Health Organization

DONs:

Disease Outbreak News

COVID-19:

Coronavirus Disease

SARS-CoV-2:

Severe Acute Respiratory Syndrome Coronavirus 2

SARS:

Severe Acute Respiratory Syndrome

MERS:

Middle East Respiratory Syndrome

ARDS:

Acute Respiratory Distress Syndrome

CRP:

C-reactive protein

MSC:

Mesenchymal Stem Cells

CNKI:

China National Knowledge Internet

AE:

Adverse Event

RCT:

Randomized Controlled Trial

NRCT:

Non-Randomized Controlled Trial

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

SAE:

Severe Adverse Event

WBC:

White blood cells

PLT:

Platelets

TNF-α:

Tumor necrosis factor α

MINORS:

Methodological index for non-randomized studies

SMD:

Standardized mean difference

RR:

Relative risk

CI:

Confidence intervals

FEM:

Fixed effect model

REM:

Random effect model

HNM:

Hypergeometric normal model

UC-MSCs:

Umbilical cord mesenchymal stem cells

BM-MSCs:

Human bone marrow mesenchymal stem cells

MenSCs:

Menstrual blood-derived mesenchymal stem cells

PB‑NHESC‑C:

Peripheral blood non‑hematopoietic enriched stem cell cocktail

CTCAE:

Common Terminology Criteria for Adverse Events

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Acknowledgements

We thank Jean Glover from Tianjin Golden Framework Consulting Company for English editing.

Funding

This work was supported by Hubei Province Science Technology Department (2020FCA048). The author is not employed by pharmaceutical companies or other institutions. The corresponding author is ultimately responsible for the decision of submission and publication.

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Author notes

  1. Minghe Zhang, Xinchun Yan, Minghui Shi and Ruihang Li contributed equally to this work

Authors and Affiliations

  1. Center for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China

    Minghe Zhang, Xinchun Yan, Minghui Shi, Ruihang Li, Ziwei Pi, Xiangying Ren, Yongbo Wang, Siyu Yan, Yunyun Wang, Yinghui Jin & Xinghuan Wang

  2. Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China

    Minghe Zhang

  3. Department of Anesthesiology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China

    Minghui Shi

  4. Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China

    Ziwei Pi

  5. Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China

    Xinghuan Wang

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Contributions

MZ, XY, MS and RL are the first authors. XW is the corresponding author. ZP, XR, YW, SY, YW, YJ are the authors. XW conceived and designed the study. MZ, XY, MS and RL were involved in the research and analysis of the data. ZP and XR participated in the literature search. YW, SY and YW participated in the data analysis, data processing and quality evaluation of the article. XW, YJ, YW and SY reviewed the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xinghuan Wang.

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Competing interests

XingHuan Wang led the favipiravir randomized controlled trial and it was supported by the National Key Research and Development Program of China (2020YFC0844400); XingHuan Wang, and YingHui Jin reported research projects involving infection of healthcare workers during this epidemic, which was supported by Special Project for Emergency of Hubei Province (2020FCA008). XingHuan Wang and YingHui Jin developed two COVID-19 guidelines (A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version) and Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: An evidence-based clinical practice guideline (updated version)). All other authors declare no competing interests.

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Supplementary Information

Additional file 1.

Search Strategy. Search strategy used in the eight databases.

Additional file 2.

List of excluded studies. 176 studies were excluded after reviewing the full texts. Detailed information of these articles are shown.

Additional file 3.

Quality Assessment of 10 RCTs. 10 RCTs included in the systematic review were assessed for literature quality using the Risk-of-bias Tool 1.0. a: Risk of bias graph: authors' judgements’ about each risk of bias item presented as percentages. b: Risk of bias summary: authors' judgements about each risk of bias item.

Additional file 4.

Quality Assessment of 7 NRCTs. 7 NRCTs included in the systematic review were assessed for literature quality using the MINORS instrument.

Additional file 5.

Characteristics of Involved Studies. Specific information of 17 articles included: country, study design, number of patients, treatment of intervention group and control group.

Additional file 6.

All Adverse Events in Involved Studies. All adverse events (AEs), AEs related to treatment and numbers of patients with AEs reported in involved studies between experimental and control groups.

Additional file 7.

Serious Adverse Events. All serious adverse events reported in involved studies between experimental and control groups.

Additional file 8.

Results of Meta-analysis of Laboratory parameters. Results of Meta-analysis of WBC, neutrophiles, lymphocytes, platelets, CRP, IL-6, TNF-α, D-dimer, fibrinogen and ferritin in day 0–4 or day 5–8. a. Forest plot of WBC (day5–8): Std. Mean Difference (95% CI) and pooled estimates. b. Forest plot of neutrophils (day5–8): Std. Mean Difference (95% CI) and pooled estimates. c. Forest plot of lymphocytes (day5–8): Std. Mean Difference (95% CI) and pooled estimates. d. Forest plot of PLT (day0–4): Std. Mean Difference (95% CI) and pooled estimates. e. Forest plot of PLT (day5-8): Std. Mean Difference (95% CI) and pooled estimates. f. Forest plot of CRP (day0–4): Std. Mean Difference (95% CI) and pooled estimates. g. Forest plot of CRP (day5–8): Std. Mean Difference (95% CI) and pooled estimates. h. Forest plot of IL-6 (day5–8): Std. Mean Difference (95% CI) and pooled estimates. I. Forest plot of TNF-α (day5–8): Std. Mean Difference (95% CI) and pooled estimates. j. Forest plot of D-dimer (day0–4): Std. Mean Difference (95% CI) and pooled estimates. k. Forest plot of D-dimer (day5–8): Std. Mean Difference (95% CI) and pooled estimates. l. Forest plot of fibrinogen (day0–4): Std. Mean Difference (95% CI) and pooled estimates. m. Forest plot of fibrinogen (day5–8): Std. Mean Difference (95% CI) and pooled estimates. n. Forest plot of ferritin (day0–4): Std. Mean Difference (95% CI) and pooled estimates. o. Forest plot of ferritin (day5–8): Std. Mean Difference (95% CI) and pooled estimates.

Additional file 9.

Results of subgroup analysis of outcomes. Results of Meta-analysis of AEs, mortality, hospital stay, neutrophils, lymphocytes, platelets, CRP and D-dimer according to the type of studies. a. Subgroup analysis of AEs b. Subgroup analysis of mortality c. Subgroup analysis of length of hospital stay d. Subgroup analysis of neutrophils (day5–8) e. Subgroup analysis of lymphocytes (day5–8) f. Subgroup analysis of PLT (day5–8) g. Subgroup analysis of CRP (day5–8) h. Subgroup analysis of D-dimer (day5–8).

Additional file 10.

Ongoing Clinical Trials of Stem Cells Therapy for COVID-19. We searched clinical trials from the ClinicalTrials.gov database and the World Health Organization's International Clinical Trials Registry Platform (WHO ICTRP) and combined the data from the Global Coronavirus COVID-19 Clinical Trial Tracker (https://covid19-trials.com/). Totally 177 studies were shown that related to stem cell and derivatives therapy for COVID-19 patients. The database search for this systematic review was conducted in March, 2022. The country with the most registered trials is the United States. Removing 9 registration numbers that we included, the recruitment status showed that there were 52 not yet recruiting, 7 authorized, 72 recruiting, 9 active, not recruiting and 16 completed but unpublished among the 168 registered clinical trials. The remaining 12 trials were suspended, terminated, withdrawn, available or of unknown status. Moreover, not all clinical trials that show completion have reported results. Based on these results, stem cell treatments for COVID-19 did not have sufficient completed Clinical trial data and were still in the experimental stage. Current published clinical trials had been collected in the systematic review and our evaluation implied that stem cell-based therapy might decrease mortality and improve clinical manifestation of patients diagnosed COVID-19.

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Zhang, M., Yan, X., Shi, M. et al. Safety and efficiency of stem cell therapy for COVID-19: a systematic review and meta-analysis. glob health res policy 7, 19 (2022). https://doi.org/10.1186/s41256-022-00251-5

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Keywords

Global Health Research and Policy

ISSN: 2397-0642

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