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. 2023 Oct 12;18(10):e0284006. doi: 10.1371/journal.pone.0284006

Table 4. Summary of evidence about treatment with nirmatrelvir-ritonavir versus standard treatment (without antivirals) for COVID-19.

Certainty assessment № of patients Effect Certainy Importance
№ of studies Study design Risk of bias Inconsistency Indirectness Imprecision Other considerations Nirmatrelvir-ritonavir Control Relative
(95% CI)
Absolute
(95% CI)
Hospitalization in 35 days
11 observational study very serious a not serious not seriousb not serious none 1559/234872 (0.7%) 10243/720674 (1.4%) OR 0.47
(0.36 to 0.61)
7 fewer per 1.000
(from 9 fewer to 5 fewer)
⨁◯◯◯
Very low
IMPORTANT
Mortality in 35 days
13 observational study seriousc not serious not seriousb not serious none 220/242409 (0.1%) 6848/889186 (0.8%) OR 0.41
(0.35 to 0.52)
1 fewer per 1.000
(from 4 fewer to 3 fewer)
⨁⨁⨁◯
Moderate
CRITICAL
Mortality or hospitalization in 35 days
5 observational study seriousd not serious not seriousb not serious none 309/22595 (1.4%) 6710/202857 (3.3%) OR 0.44
(0.31 to 0.64)
18 fewer per 1.000
(from 23 fewer to 12 fewer)
⨁⨁⨁◯
Moderate
CRITICAL

CI: Confidence interval; OR: Odds ratio

Explications:

a. Most studies were at serious risk of bias, with the study by Zhou et al., 2022 [27] showing critical risk of bias for the outcome of hospitalization within 30 days using the ROBINS-I tool.

b. Do not go down because it is mortality / hospitalization for all causes, since COVID -19 is a new disease in which all the mechanisms that cause possible hospitalizations for other causes are not yet well understood.

c. Most of the studies had a moderate risk of bias. However, two studies Aggarwal, et al., 2022 [24] and Patel et al., 2022 [26] showed a high risk of bias for the outcome of 30-day mortality using the ROBINS-I tool.

d. All studies showed a moderate risk of bias for the ROBINS-I tool