SynthesisReviews in medical virology2022
Efficacy and safety of azithromycin in Covid-19 patients: A systematic review and meta-analysis of randomized clinical trials.
Synthesis in Reviews in medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 6 of them syntheses that pooled it.
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
29 citing papers in PubMed, 6 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- The Impact of Study Size on COVID-19 Treatment Outcomes: A Meta-Epidemiological Study Comparing Large and Small Randomized Controlled Trials: A Systematic Review and Meta-Analyses.Reviews in medical virology · 2026Pooled it
- Effect of anti-inflammatory drugs on the storm of inflammatory factors in respiratory tract infection caused by SARS-CoV-2: an updated meta-analysis.Frontiers in public health · 2023Pooled it
- Azithromycin in patients with COVID-19: a systematic review and meta-analysis.The Journal of antimicrobial chemotherapy · 2022Pooled it
- Efficacy and safety of azithromycin in Covid-19 patients: A systematic review and meta-analysis of randomized clinical trials.Reviews in medical virology · 2022Pooled it
- Antibiotics for the treatment of COVID-19.The Cochrane database of systematic reviews · 2021Pooled it
- Clinical efficacy of Azithromycin for COVID-19 management: A systematic meta-analysis of meta-analyses.Heart & lung : the journal of critical carePooled it
- Trends in Outpatient Antibiotic Prescriptions Issued in Croatian Primary Healthcare, 2015-2024.Infectious disease reports · 2026Article
- The PTP4A3 inhibitor KVX-053 reduces Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virulence, inflammation, and development of acute lung injury in K18-hACE2 mice.Respiratory research · 2025Article
- A Retrospective Study of the Impact of the COVID-19 Pandemic on the Utilization and Quality of Antibiotic Use in a Tertiary Care Teaching Hospital in Low-Resource Settings.Antibiotics (Basel, Switzerland) · 2025Article
- Antibiotic Treatment in Patients Hospitalized for Nonsevere COVID-19.JAMA network open · 2025Article
- Repositioning of Antibiotics in the Treatment of Viral Infections.Current microbiology · 2024Review
- Antibiotic usage patterns in COVID-19 patients in five tertiary hospitals from Bangladesh: A countrywide picture.IJID regions · 2024Article
- Antibiotic Consumption 2017-2022 in 30 Private Hospitals in France: Impact of Antimicrobial Stewardship Tools and COVID-19 Pandemic.Antibiotics (Basel, Switzerland) · 2024Article
- Global landscape of COVID-19 research: a visualization analysis of randomized clinical trials.Clinical and experimental medicine · 2024Article
- Medication Use Among Pregnant Women With SARS-CoV-2 Infection and Risk of Hospitalization-A Study in Two Brazilian Hospitals.Journal of pregnancy · 2024Article
- Review
- Changing Trends in the Global Consumption of Treatments Used in Hospitalized Patients for COVID-19: A Time Series Multicentre Study.Antibiotics (Basel, Switzerland) · 2023Article
- Clinical Efficacy of Ulinastatin Combined with Azithromycin in the Treatment of Severe Pneumonia in Children and the Effects on Inflammatory Cytokines and Oxidative Stress: A Retrospective Cohort Study.Infection and drug resistance · 2023Article
- Acute Improvements of Oxygenation with Cpap and Clinical Outcomes in Severe COVID-19 Pneumonia: A Multicenter, Retrospective Study.Journal of clinical medicine · 2022Article
- Local Delivery of Azithromycin Nanoformulation Attenuated Acute Lung Injury in Mice.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Azithromycin (AZM) is commonly used in Covid-19 patients based on low-quality evidence, increasing the risk of developing adverse events and antimicrobial resistance. The current systematic review and meta-analysis investigated the safety and efficacy of AZM in treating Covid-19 patients using published randomized controlled trials. Google Scholar, PubMed, Scopus, Cochrane Library, Clinical Trials.gov, MEDLINE, bioRxiv and medRxiv were searched for relevant studies. The random-effects model was used to pool estimates using the Paule-Mandel estimate for heterogeneity. The odds ratio and raw difference in medians were used for dichotomous and continuous outcomes, respectively. The analysis included seven studies with 8822 patients (median age, 55.8 years; 61% males). The risk of bias was assessed as 'low' for five of the seven mortality results and as 'some concerns' and 'high' in one trial each. There were 657/3100 (21.2%) and 1244/5654 (22%) deaths among patients randomized to AZM and standard of care, respectively. The use of AZM was not associated with mortality in Covid-19 patients (OR = 0.96, 95% CI 0.88-1.05, p = 0.317 based on the random-effect meta-analysis). The use of AZM was not associated with need for invasive mechanical ventilation (OR = 0.96, 95% CI 0.49-1.87, p = 0.85) and length of stay (Δ = 1.11, 95% CI -2.08 to 4.31, p = 0.49). The results show that using AZM as routine therapy in Covid-19 patients is not justified due to lack of efficacy and potential risk of bacterial resistance that is not met by an increased clinical benefit.
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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 Socratic graph.