A recently published systematic review and meta-analysis found no evidence that the antiviral drugs nirmatrelvir/ritonavir (Paxlovid) and molnupiravir (Lagevrio) help prevent COVID-19 hospitalization, death, or persistent symptoms, results that the authors say call for reassessment of the role that oral antivirals play in the context of currently circulating SARS-CoV-2 variants and population immunity from vaccination, infection, or both.
The study, published on September 7 in Open Forum Infectious Diseases, isn't the first to draw such conclusions, but some experts have cast doubt on its methodology and conclusions.
On December 12, 2023, the researchers pooled and analyzed the results of 23 randomized trials (14 published, including a RECOVERY Trial preprint) on the efficacy of Paxlovid or molnupiravir against severe COVID-19 or long COVID. The team estimated the relative risks of reducing death and hospitalization after treatment with molnupiravir and Paxlovid, respectively, at 0.62 (95% confidence interval [CI], 0.15 to 2.53) and 0.33 (95% CI, 0.03 to 3.35) amid the Omicron, Delta/Omicron, Delta, or Alpha variant eras.
"Many of the primary outcomes were based on viral clearance, rather than patient-centered outcomes, such as hospitalization or death, and most positive trials were tested against unvaccinated populations and/or earlier strains of SARS-CoV-2," the authors wrote. "Against the backdrop of an evolving strain of virus and increasing population immunity, approval data for currently available treatments for COVID-19 need to be reevaluated, based on current strains and immunity."
Lack of risk stratification
But Ziyad Al-Aly, MD, chief of research and development at the VA St Louis Health Care System, said the key problem with the systematic review is that the authors lump together low- and high-risk patients, as well as outcomes (hospitalization and death), when antivirals are widely known to have little to no effect in low-risk patients (regulatory approval was for those with at least one risk factor for poor outcomes). He also noted the wide CIs, which suggest uncertainty.
"Their results show very high heterogeneity—a strong indicator that they are on the wrong track," he told the University of Minnesota's Center for Infectious Disease Research and Policy (CIDRAP) News via email.
"They included studies that are measuring different effects; combining these studies in meta-analyses does not provide a reliable and useful summary effect," Al-Aly said. "Unfortunately, they don't do anything to investigate the source of heterogeneity or mitigate it in some way; they accept the result at face value."