ArticleJournal of medical virology2021
Effect of azithromycin and hydroxychloroquine in patients hospitalized with COVID-19: Network meta-analysis of randomized controlled trials.
Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- Real-Life Data on Hydroxychloroquine or Chloroquine with or Without Azithromycin in COVID-19 Patients: A Retrospective Analysis in Brazil.Arquivos brasileiros de cardiologia · 2023Article
- Low Rate of Bacterial Coinfections and Antibiotic Overprescribing During COVID-19 Pandemic: A Retrospective Study from Oman.Oman medical journal · 2023Article
- Monoclonal Antibodies against SARS-CoV-2 Infection: Results from a Real-Life Study before the Omicron Surge.Vaccines · 2022Article
- Combination therapy with remdesivir and monoclonal antibodies protects nonhuman primates against advanced Sudan virus disease.JCI insight · 2022Article
- Molecular Insights of SARS-CoV-2 Antivirals Administration: A Balance between Safety Profiles and Impact on Cardiovascular Phenotypes.Biomedicines · 2022Review
- Drug safety of frequently used drugs and substances for self-medication in COVID-19.Therapeutic advances in drug safety · 2022Review
- Effect of azithromycin and hydroxychloroquine in patients hospitalized with COVID-19: Network meta-analysis of randomized controlled trials.Journal of medical virology · 2021Article
- Article
- Effect of Hydroxychloroquine and Azithromycin Combination Use in COVID-19 Patients - An Umbrella Review.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chloroquine or its derivative hydroxychloroquine (HCQ) combined with or without azithromycin (AZ) have been widely investigated in observational studies as a treatment option for coronavirus 2019 (COVID-19) infection. The network meta-analysis aims to summarize evidence from randomized controlled trials (RCTs) to determine if AZ or HCQ is associated with improved clinical outcomes. PubMed and Embase were searched from inception to March 7, 2021. We included published RCTs that investigated the efficacy of AZ, HCQ, or its combination among hospitalized patients with COVID-19 infection. The outcomes of interest were all-cause mortality and the use of mechanical ventilation. The pooled odds ratio was calculated using a random-effect model. A total of 10 RCTs were analyzed. Participant's mean age ranged from 40.4 to 66.5 years. There was no significant effect on mortality associated with AZ plus HCQ (odds ratio [OR] = 0.562 [95% confidence interval {CI}: 0.168-1.887]), AZ alone (OR = 0.965 [95% CI: 0.865-1.077]), or HCQ alone (OR = 1.122 [95% CI: 0.995-1.266]; p = 0.06). Similarly, based on pooled effect sizes derived from direct and indirect evidence, none of the treatments had a significant benefit in decreasing the use of mechanical ventilation. No heterogeneity was identified (Cochran's Q = 1.68; p = 0.95; τ
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.