Comparing the Effectiveness and Safety of Remdesivir and Molnupiravir in COVID‐19: A Systematic Review and Meta‐Analysis
Seyed Hamid Pakzad Moghadam, Ali Sarkoohi, Zia Navidi, Bahman Amani, Behnam Amani, Saeed Khorramnia

TL;DR
This study compares remdesivir and molnupiravir for treating COVID-19 and finds they are similarly effective but with different safety profiles.
Contribution
The study provides a meta-analysis comparing the effectiveness and safety of two antiviral drugs for COVID-19.
Findings
Remdesivir and molnupiravir showed similar effectiveness in treating COVID-19 outpatients.
Molnupiravir was associated with a higher rate of adverse events compared to remdesivir.
Abstract
Remdesivir and molnupiravir have been approved and are being used as viable treatment options for patients with coronavirus disease 2019 (COVID‐19). This systematic review and meta‐analysis sought to evaluate and compare the safety and effectiveness of these two antiviral drugs in the treatment of COVID‐19. An extensive search was conducted across several databases, including Web of Science, PubMed, the Cochrane Library, and medRxiv, up to July 1, 2024. To evaluate the risk of bias, a standardized bias assessment tool was used. Data from the selected studies were analyzed using Comprehensive Meta‐Analysis software. The analysis included data from 10 studies, encompassing a total of 5766 patients. According to the meta‐analysis, remdesivir and molnupiravir showed no statistically significant differences in mortality (odds ratio [OR] = 2.54, 95% confidence interval [CI]: 0.67, 9.57),…
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Figure 6| Study, year | Country | Study design | Severity of COVID‐19 | Patient setting | Remdesivir | Molnupiravir | Follow‐up (days) | Key study outcomes | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean age | N | Male (%) | SARS‐CoV‐2 vaccination rate b | Comorbidity (%) a | Mean age | N | Male (%) | SARS‐CoV‐2 vaccination rate b | Comorbidity (%) a | |||||||
| Tibble, 2024 [ | UK | RS | MM | Outpatients | 64 | 207 | 57.2 | 89.3 | 68.8 | 78 | 775 | 53.9 | 95.8 | 38.1 | 28 | Death, hospitalization |
| Colaneri, 2024 [ | Italy | RS | MM | Outpatients | 66 | 230 | NA | 86.1 | 56.5 | 78 | 499 | NA | 94.8 | 73.5 | NA | Hospitalization, viral clearance |
| Bai, 2024 [ | Italy | RS | MM | Outpatients | 78 | 134 | 58.2 | 100 | 100 | 79 | 92 | 64.1 | 100 | 100 | 30 | Death, viral clearance, adverse event |
| Alonso, 2024 [ | Spain | RS | MM | Outpatients | 57.4 | 34 | 52.9 | NA | NA | 62 | 10 | 70 | NA | NA | NA | Death, hospitalization |
| Tiseo, 2023 [ | Italy | RS | MM | Outpatients | NA | 20 | NA | NA | NA | NA | 2910 | NA | NA | NA | 30 | Death, hospitalization, adverse event |
| Rinaldi, 2023 [ | Italy | RS | MM | Outpatients | 65.7 | 30 | 60 | 23.3 | 100 | 68.9 | 29 | 62.1 | 100 | 100 | 7 | Death, hospitalization, viral clearance, adverse event |
| Razai, 2023 [ | Italy | RS | MM | Outpatients | 67.4 | 142 | 41.6 | 88 | 55.6 | 68.9 | 205 | 57.6 | 88.3 | 55.1 | 60 | Death, hospitalization |
| Manciulli, 2023 [ | Italy | RS | MM | Outpatients | NA | 5 | 20 | 80 | 100 | NA | 7 | 71.4 | 71.4 | 100 | 28 | Death, hospitalization, adverse event |
| Borgo, 2023 [ | Italy | RS | MM | Outpatients | 78 | 134 | 78 | 91 | 43 | 79 | 92 | 59 | 91 | 51 | 28 | Death, viral clearance, clinical progression, adverse event |
| Lasagna, 2022 [ | Italy | RS | MM | Outpatients | 65.5 | 58 | 55.2 | 96.6 | 62.1 | 79 | 69 | 56.5 | 94.2 | 81.2 | 30 | Hospitalization, viral clearance |
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TopicsCOVID-19 Clinical Research Studies · SARS-CoV-2 and COVID-19 Research
Introduction
1
Although the widespread implementation of vaccinations against the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has significantly reduced the global mortality and morbidity rates associated with coronavirus disease 2019 (COVID‐19), certain populations remain vulnerable to SARS‐CoV‐2 infection due to insufficient protection [1, 2]. Therefore, it is imperative to carefully consider the integration of effective therapeutic interventions alongside SARS‐CoV‐2 vaccines for these at‐risk groups [3]. Several therapeutic resources have been explored for managing COVID‐19, including antiviral agents, as well as other drug classes that may mitigate disease severity. These include macrolides, such as azithromycin, which have shown potential benefits in reducing inflammation [4], anti‐inflammatory drugs, both steroidal (e.g., dexamethasone) and nonsteroidal [5], and biologics like tocilizumab [6], alongside other viral drugs [7]. These therapies have been investigated for their ability to lessen the severity of COVID‐19, complementing the primary antiviral treatments. Several antiviral agents have been proposed as viable treatment options for managing COVID‐19 patients [8, 9, 10, 11]. Molnupiravir, an orally administered antiviral medication, is specifically indicated for treating adult patients with mild‐to‐moderate COVID‐19 who are at a heightened risk of progressing to severe illness and are unable to access or utilize other approved treatments for COVID‐19 [12]. In contrast, remdesivir, an approved antiviral drug, is authorized for u treating COVID‐19 in both adolescents and adults [13]. The World Health Organization (WHO) recommends molnupiravir for non‐severe COVID‐19 in adults at high risk for hospitalization with symptoms for less than 5 days when alternative treatments are unavailable, while suggesting remdesivir may reduce hospitalization rates more effectively in high‐risk patients [14]. The National Institutes of Health endorses molnupiravir (800 mg orally twice daily for 5 days) as an alternative for nonhospitalized adults with mild‐to‐moderate COVID‐19 at high risk when nirmatrelvir/ritonavir or remdesivir are unsuitable, starting within 5 days of symptom onset; remdesivir is recommended for nonhospitalized patients within 7 days of symptom onset for 3 days and for hospitalized patients for 5–10 days based on clinical response [15]. The Infectious Diseases Society of America suggests molnupiravir for ambulatory adults with mild‐to‐moderate COVID‐19 at high risk when other options (e.g., nirmatrelvir/ritonavir or remdesivir) are unavailable, starting within 5 days, and recommends remdesivir for both ambulatory and hospitalized patients within 7 days of symptom onset. Both drugs are primarily indicated for high‐risk outpatients with mild‐to‐moderate COVID‐19, with remdesivir also used in hospitalized settings and molnupiravir as a secondary option [16]. Numerous studies have substantiated the effectiveness of both molnupiravir and remdesivir in enhancing clinical outcomes among COVID‐19 patients [17, 18, 19, 20]. However, Real‐world investigations comparing the effectiveness of remdesivir and molnupiravir have yielded conflicting results [21, 22, 23, 24]. For example, studies by Borgo et al. [21] and Tiseo et al. [24] suggest that remdesivir is associated with superior outcomes, while research by Manciulli et al. [22] indicates that molnupiravir may be more effective. Given these inconsistencies, a systematic review and meta‐analysis are needed to determine which intervention, remdesivir or molnupiravir, is more effective in treating COVID‐19 patients. This study aims to compare the safety and effectiveness of these two treatments for patients with COVID‐19.
Methods
2
The current research adhered to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) statement as the basis for the systematic review and meta‐analysis [25]. The study protocol was registered on PROSPERO with the registration number CRD42024569366.
Literature Search
2.1
A comprehensive search for relevant evidence up to July 1, 2024, was conducted independently by two researchers, following a systematic approach to ensure thoroughness and accuracy. The search involved specific keywords across multiple databases, including Web of Science, PubMed, and the Cochrane Library, which are recognized for their extensive collections of peer‐reviewed literature. In addition to these primary sources, further records were identified by searching medRxiv and Google Scholar, which provide access to preprints and a broader range of research articles. To ensure a comprehensive search, references from existing systematic reviews and key studies were checked for additional relevant records. The keywords employed in this extensive literature search encompassed “SARS‐CoV‐2,” “COVID‐19,” “Remdesivir,” and “Molnupiravir,” with restrictions applied to include only English‐language articles. The search strategies tailored to specific resources are documented in the Supplementary file.
Study Selection
2.2
The systematic review and meta‐analysis encompassed studies that fulfilled the following criteria: patients who had a confirmed positive polymerase chain reaction (PCR) test for COVID‐19, received either remdesivir or molnupiravir as a standalone treatment, and reported relevant safety and effectiveness outcomes, including mortality rates, hospitalization rates, and adverse events. Any discrepancies between the researchers regarding study eligibility were resolved through discussion, and if necessary, a third reviewer was consulted to ensure that the selection process was fair and unbiased. Studies were excluded if they reported irrelevant outcomes, involved combination therapies, were case reports, or included healthy individuals.
Risk of Bias Assessment and Quality of Evidence
2.3
The potential bias in the studies included in the analysis was independently evaluated by two researchers utilizing the Risk of Bias in Nonrandomized Studies of Interventions (ROBINS‐I) tool [26]. This comprehensive tool assesses several domains, including confounding, selection bias, measurement bias, and reporting bias, enabling a thorough evaluation of the methodological quality of the studies. Each domain was carefully examined to identify potential sources of bias that might compromise the validity of the results. Furthermore, the strength of evidence for each outcome was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) tool. This widely recognized framework provides a systematic approach to grading the quality of evidence and making recommendations based on the strength of the evidence. The GRADE tool categorizes evidence into four levels: very low, low, moderate, and high quality, based on criteria including study design, risk of bias, inconsistency in findings, indirectness, and imprecision [27]. The assessment process involved detailed discussions between the researchers to reach consensus on any discrepancies in their evaluations. This collaborative approach aimed to enhance the reliability of the bias assessments and ensure that all relevant factors were considered. By employing both the ROBINS‐I and GRADE tools, the study aimed to provide a robust evaluation of the quality of the included studies and the reliability of the outcomes reported.
Data Extraction
2.4
Data extraction was independently conducted by two researchers using a standardized form designed to capture all relevant information, including study characteristics, patient details, treatment interventions, effectiveness outcomes, and safety outcomes. The information extracted encompassed essential details such as study location, patient demographics (age, gender, underlying health conditions, disease severity at baseline), treatment details (dosages, duration of therapy, concomitant medications), effectiveness outcomes (mortality rates, hospitalization rates, time to clinical improvement), and safety outcomes (incidence and severity of adverse events).
Data Analysis
2.5
Data analysis was conducted using the Comprehensive Meta‐Analysis software (version 3.0) to compare the safety and effectiveness of remdesivir versus molnupiravir in COVID‐19 patients. In the analysis of dichotomous variables, the odds ratio (OR) accompanied by a 95% confidence interval (CI) was applied to facilitate the comparison of event rates across the two treatment groups. For continuous data, the standardized mean difference (SMD) with a 95% CI was utilized, enabling the assessment of differences in means across studies while accounting for variability in measurement scales. To assess the degree of heterogeneity among the studies, the I² statistic was calculated, with high heterogeneity defined as I² > 50% or a p‐value < 0.1. When high heterogeneity was detected, a random‐effects model was applied to account for variability between studies, allowing for more generalized conclusions. Conversely, when studies exhibited low heterogeneity, the fixed effects model was utilized, providing a more precise estimate of the treatment effects under the assumption that all studies are estimating the same underlying effect. Furthermore, sensitivity analyses were conducted individually for each outcome to evaluate the reliability of the results. This involved systematically excluding each study from the analysis to determine how its absence would impact the overall results.
Results
3
Search Result
3.1
The search results, illustrated in Figure 1, outline the systematic process of selecting studies based on their titles, abstracts, and full‐text reviews. Initially, duplicate records were removed, resulting in 86 articles being screened against the inclusion criteria. Of these, 15 studies qualified for full‐text review; however, 5 were subsequently excluded according to the criteria specified in Figure 1. Ultimately, 10 studies [21, 22, 23, 24, 28, 29, 30, 31, 32, 33] involving a total of 5766 patients who received either remdesivir or molnupiravir were incorporated into the meta‐analysis. All studies included utilized a retrospective design, and each study compared multiple intervention groups. Standardized dosages were used, with molnupiravir administered at 800 mg twice daily and remdesivir delivered through multiple infusions. In all studies, the severity of COVID‐19 was classified as mild to moderate, and all patients were treated as outpatients. Most studies reported a follow‐up duration of 30 days, and the majority were conducted in Italy, reflecting a focused effort to evaluate these treatments within specific healthcare settings. Table 1 provides a comprehensive overview of the key characteristics of the included studies, summarizing critical aspects such as study design, patient demographics, treatment protocols, and outcome measures.
PRISMA flow diagram.
Risk of Bias Assessment and Quality of Evidence
3.2
The majority of studies were assessed to have a moderate risk of confounding. Each study exhibited a low risk concerning the classification of interventions and missing data. However, deviations from the intended interventions and the measurement of outcomes were rated as moderate across all studies. The risk associated with other domains varied among the studies. Detailed findings from the ROBINS‐I risk of bias evaluation are presented in Table S1. Additionally, the assessment of evidence certainty for each outcome is provided in Table S2.
Effectiveness Outcomes
3.3
Mortality Rate
3.3.1
A total of seven studies [21, 22, 23, 24, 29, 32, 33], involving 5,578 patients, reported mortality outcomes for individuals treated with either remdesivir or molnupiravir. The overall analysis of these studies indicated that there was no significant difference in the mortality rates between the two groups (OR = 2.54, 95% CI: 0.67, 9.57, p = 0.16) (Figure 2). Furthermore, subgroup analysis based on follow‐up duration revealed no significant difference in mortality rates between treatments within the < 28 days group (OR = 2.85, 95% CI: 0.59–13.77, p = 0.19) and the ≥ 28 days group (OR = 2.36, 95% CI: 0.46–12.11, p = 0.30) (Figure S1). The level of certainty regarding the evidence for the mortality outcome was assessed as moderate.
Forest plot illustrating the comparison of mortality rates between remdesivir and molnupiravir.
Hospitalization Rate
3.3.2
Across seven studies [22, 23, 24, 28, 31, 32, 33] involving 4,679 patients, cases of hospital admission for individuals receiving remdesivir or molnupiravir were documented. The meta‐analysis revealed no significant difference in hospitalization rates between the two treatments (OR = 2.43, 95% CI: 0.81, 7.24, p = 0.11) (Figure 3). The level of certainty regarding the evidence for the hospitalization outcome was assessed as moderate.
Forest plot illustrating the comparison of hospitalization rates between remdesivir and molnupiravir.
Viral Clearance Rate
3.3.3
Three studies [23, 24, 29] enrolling a total of 1518 patients reported viral clearance rate in individuals who underwent treatment with remdesivir or molnupiravir. The meta‐analysis demonstrated no significant differences between the two treatments (OR = 1.49, 95% CI: 0.64, 3.46, p = 0.34) (Figure 4). The level of certainty regarding the evidence for the viral clearance rate outcome was assessed as low.
Forest plot illustrating the comparison of viral clearance rates between remdesivir and molnupiravir.
Mean Viral Clearance Time
3.3.4
A meta‐analysis concerning mean viral clearance time, which included five studies [21, 23, 24, 29, 30] encompassing 2474 patients, found no significant difference between individuals receiving remdesivir and those receiving molnupiravir in terms of mean viral clearance (SMD = 0.02, 95% CI: −0.40, 0.46, p = 0.89) (Figure 5). The level of certainty regarding the evidence for the mean viral clearance outcome was assessed as low.
Forest plot illustrating the comparison of mean viral clearance time between remdesivir and molnupiravir.
Safety Outcomes
3.4
Any Adverse Events
3.4.1
Five studies [21, 22, 23, 24, 29] including 2573 patients detailed the occurrence of any adverse events in the groups receiving remdesivir or molnupiravir. The pooled analysis showed a significant difference in adverse event incidence between the two groups (OR = 0.49, 95% CI: 0.26, 0.93; p = 0.03) (Figure 6). The level of certainty regarding the evidence for the adverse events outcome was assessed as moderate.
Forest plot illustrating the comparison of adverse events between remdesivir and molnupiravir.
Sensitivity Analyses
3.5
For the outcomes of mortality rate and mean viral clearance time, the leave‐one‐out sensitivity analysis showed no significant changes compared to the primary analysis (Figures S2 and S5). However, the sensitivity analysis revealed significant changes for the outcomes of hospitalization rate, viral clearance rate, and incidence of any adverse events when compared to the primary analysis (Figures S3, S4, and S6). The exclusion of certain studies resulted in notable shifts in the pooled estimates for these outcomes, suggesting that the results may be more sensitive to the inclusion or exclusion of specific studies.
Discussion
4
The availability of effective and safe antiviral medications for patients infected with SARS‐CoV‐2, especially those at high risk, is crucial for patient management. These options enable healthcare providers to select the most suitable treatment, potentially improving patient outcomes [34]. This study aimed to evaluate and compare the safety and effectiveness of remdesivir and molnupiravir, two antiviral treatments for COVID‐19, in patients infected with SARS‐CoV‐2. Based on the results of this meta‐analysis, these interventions show no significant difference in improving clinical outcomes in COVID‐19 patients.
The meta‐analysis revealed no statistically significant variation in mortality rates among COVID‐19 patients treated with remdesivir compared to those receiving molnupiravir. This suggests that the two antiviral treatments have similar effects on reducing COVID‐19‐related mortality. Existing evidence on the effectiveness of remdesivir and molnupiravir in lowering mortality has been mixed. While some systematic reviews and meta‐analyses have reported that remdesivir [10, 18, 35] or molnupiravir [19, 36] significantly reduced the risk of death compared to the controls, other analyses found no clinical benefit with remdesivir [37, 38, 39] or molnupiravir [40, 41] in decreasing COVID‐19 mortality. These variations could be due to differences in the quantity of studies included, control group characteristics, and other variables between the meta‐analyses. The comparative effectiveness of molnupiravir versus other antivirals has also varied [24, 42]. According to a meta‐analysis of retrospective studies, the effectiveness of molnupiravir was comparable to that of sotrovimab in improving clinical outcome in COVID‐19 patients [42].
The meta‐analysis revealed no statistically significant difference in hospitalization rates when comparing COVID‐19 patients administered remdesivir to those treated with molnupiravir. However, existing evidence from other studies indicates that both antivirals may effectively reduce the risk of hospitalization when compared to untreated patients. Clinical trial meta‐analyses indicate that molnupiravir treatment is linked to a significant decrease in the likelihood of hospitalization among COVID‐19 patients [19, 20]. These findings indicate that molnupiravir may be effective in preventing severe disease progression requiring hospitalization [19, 20]. Similarly, studies have supported the effectiveness of remdesivir in reducing hospitalization rates among outpatients infected with COVID‐19. For example, Gottlieb et al. [43] reported that only 0.7% of patients treated with remdesivir experienced COVID‐19‐related hospitalization or death, compared to 5.3% in the placebo group. Similarly, a study by Rajme‐López et al. [44] demonstrated that remdesivir treatment significantly reduced the likelihood of hospitalization or mortality. Additionally, Mazzitelli et al. [45] found that patients with COVID‐19 treated with early 3‐day remdesivir had a lower risk of hospitalization compared to controls. Furthermore, remdesivir has been shown to significantly shorten the length of hospital stay for patients hospitalized due to COVID‐19 [46].
The meta‐analysis also found no significant difference in the outcomes of viral clearance rate or mean time to negative PCR between COVID‐19 patients treated with remdesivir and those receiving molnupiravir. However, research indicates that both treatments can significantly reduce the time of SARS‐CoV‐2 positivity in COVID‐19 patients when compared to those who receive no treatment. For example, Mazzitelli et al. [45] found that early administration of remdesivir was significantly associated with a shorter duration of SARS‐CoV‐2 positivity. Similarly, molnupiravir has been shown to effectively shorten the period of SARS‐CoV‐2 positivity when compared to untreated patients [41]. A systematic review and meta‐analysis of randomized controlled demonstrated that the negative PCR rate in COVID‐19 patients treated with Molnupiravir was higher than those who did not receive the drug [40]. Another meta‐analysis of 9 RCTs involving 30,472 adults with mild or moderate COVID‐19 also showed that molnupiravir probably increases the rate of viral clearance compared to those who did not receive the treatment [19]. Retrospective cohort studies comparing remdesivir and molnupiravir found no difference in negative PCR rates between the two treatments [23, 24]. For instance, Rinaldi et al. [23] reported that the negative PCR rate in outpatients with SARS‐CoV‐2 infection was 99.5% in the remdesivir group and 98.1% in the molnupiravir group.
Finally, the meta‐analysis indicated that COVID‐19 patients administered molnupiravir experienced a greater frequency of adverse events than those treated with remdesivir. Systematic reviews and meta‐analyses have shown no significant increase in adverse events for either remdesivir or molnupiravir compared to control groups [37, 41]. For instance, a meta‐analysis involving 31,573 COVID‐19 patients reported no significant difference in adverse events between the molnupiravir and no‐molnupiravir groups [41]. According to the Food and Drug Administration Adverse Event Reporting System (FAERS), the most frequent adverse events and signals for molnupiravir were associated with gastrointestinal and skin or subcutaneous tissue disorders, with patients aged 65 and older showing a heightened risk of cardiac, hepatobiliary, renal, urinary, and vascular disorders [47]. In contrast, FAERS data indicate that remdesivir, as a suspect drug, was linked to disproportionately higher reports of elevated liver enzymes, acute kidney injury, increased blood creatinine levels, bradycardia, cardiac arrest, and death compared to other drugs [48]. Supporting these findings, recent studies reported that remdesivir was associated with hepatotoxicity in 19.5% of patients and acute kidney injury in 17.3%, with older age and SSRI use as risk factors for hepatotoxicity, while male gender was protective; additionally, 37.1% of patients developed bradycardia, with higher risks in those aged ≥ 65 years, with hypertension, or obesity [49, 50]. As for remdesivir, a meta‐analysis found no significant link between its use and a higher risk of adverse effects. Additionally, a study by Santenna et al. [51] demonstrated that remdesivir was a safe antiviral agent for hospitalized COVID‐19 patients compared to controls. When considering severe adverse events, meta‐analyses of clinical trials showed that the incidence of severe adverse events was significantly lower in COVID‐19 patients treated with Remdesivir [10, 18]. Similarly, a meta‐analysis conducted by Tian et al. [41] found comparable results for patients treated with molnupiravir, indicating a favorable safety profile for both antiviral agents. However, close monitoring of safety is essential, particularly for COVID‐19 patients who are elderly or have pre‐existing health conditions, as they may be more susceptible to adverse events. Ongoing surveillance and reporting of adverse events will be crucial to ensure the safe use of these antiviral treatments in clinical practice.
A key consideration in interpreting the outcomes of interest is the difference in disease severity for which molnupiravir and remdesivir are indicated. molnupiravir is specifically authorized for the treatment of mild to moderate COVID‐19 in outpatients at high risk of disease progression [12], whereas remdesivir is primarily used in hospitalized patients with severe COVID‐19, including those requiring supplemental oxygen or mechanical ventilation [13]. However, evidence also supports the efficacy of remdesivir in patients with mild to moderate COVID‐19 [52, 53]. All included studies in the analysis focused on outpatients with mild to moderate COVID‐19, which may introduce heterogeneity due to differences in target populations. The effectiveness and safety profiles of these interventions can vary significantly based on disease severity, underscoring the need for cautious interpretation of the results.
This study has a number of limitations that should be considered. Firstly, the inclusion of retrospective studies in this systematic review and meta‐analysis introduces potential biases that may impact the validity of the findings. Secondly, heterogeneity in COVID‐19 vaccination rates among patients may have influenced the results. Another limitation is the variability in the levels of comorbidities among the study populations, which could affect the comparison of interventions. Thirdly, the predominance of studies conducted in Italy may limit generalizability due to differences in healthcare systems, patient demographics, or SARS‐CoV‐2 variants. Lastly, most studies included in the meta‐analysis had multiple groups, which may have introduced additional complexity in data analysis.
Conclusion
5
The meta‐analysis showed no significant difference in outcomes when treating mild to moderate COVID‐19 outpatients with remdesivir compared to molnupiravir. Both interventions showed similar effectiveness in terms of improving outcomes such as mortality rate and hospital admission. The incidence of adverse events was higher in the molnupiravir group. However, it is important to consider two key points when interpreting these findings. Firstly, the evidence supporting these findings was assessed to be of low to moderate certainty. Secondly, these results may not be generalizable to new SARS‐CoV‐2 variants. While these results offer important perspectives on the relative safety and effectiveness of these treatments for COVID‐19, additional high‐quality studies are necessary to validate or challenge these conclusions.
Author Contributions
Seyed Hamid Pakzad Moghadam: conceptualization, formal analysis, project administration, supervision. Ali Sarkoohi: investigation, methodology. Zia Navidi: investigation, methodology. Bahman Amani: investigation, methodology. Behnam Amani: investigation, methodology. Saeed Khorramnia: conceptualization, formal analysis, project administration, writing – original draft, writing – review and editing.
Supporting information
Table S1: ROBINS‐I tool results for non‐randomized studies. Table S2: Assessment of certainty of evidence using the GRADE approach. Figure S1: Forest plot showing the results of subgroup analysis comparing mortality rates between remdesivir and molnupiravir. Figure S2: Forest plot showing the results of the leave‐one‐out sensitivity analysis for the comparison of mortality rates between remdesivir and molnupiravir. Figure S3: Forest plot showing the results of the leave‐one‐out sensitivity analysis for the comparison of hospitalization rates between remdesivir and molnupiravir. Figure S4: Forest plot showing the results of the leave‐one‐out sensitivity analysis for the comparison of viral clearance rates between remdesivir and molnupiravir. Figure S5: Forest plot showing the results of the leave‐one‐out sensitivity analysis for the comparison of mean viral clearance time between remdesivir and molnupiravir. Figure S6: Forest plot showing the results of the leave‐one‐out sensitivity analysis for the comparison of incidence of adverse events between remdesivir and molnupiravir.
PRISMA 2020 checklist.
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