Evidence map›Paper›PMID 36089152›Full record

Observational studyInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Azithromycin use and outcomes in patients with COVID-19: an observational real-world study.

Ippazio Cosimo Antonazzo, Carla Fornari, Davide Rozza, Sara Conti, Raffaella di Pasquale, Paolo Cortesi, Shaniko Kaleci, Pietro Ferrara, Alberto Zucchi, Giovanni Maifredi and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Robust CA-GO-TiOPolymers · 2024
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Ippazio Cosimo AntonazzoResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Carla FornariResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Davide RozzaResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy. Electronic address: d.rozza4@campus.unimib.it.
Sara ContiResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Raffaella di PasqualeResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Paolo CortesiResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Shaniko KaleciResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Pietro FerraraResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Alberto ZucchiHealth Protection Agency of Bergamo (ATS Bergamo), Bergamo, Italy.
Giovanni MaifrediHealth Protection Agency of Brescia (ATS Brescia), Brescia, Italy.
Andrea SilenziGeneral Directorate for Health Prevention, Ministry of Health, Rome, Italy.
Giancarlo CesanaResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Lorenzo Giovanni MantovaniResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
Giampiero MazzagliaResearch Centre on Public Health, University of Milan-Bicocca, Monza, Italy.
University of Milano-Bicocca · ITMinistero della Salute · ITUniversity of Bergamo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious studies ruled out the benefits of azithromycin for treatment of patients with COVID-19 who are hospitalized. However, the effects of azithromycin for treatment of patients with positive SARS-CoV-2 test results in the community remains a matter of debate. This study aimed to assess whether azithromycin, when used in subjects with positive test results for SARS-CoV-2, is associated with a reduced risk of hospitalization, in-hospital COVID-19 outcomes, and death.

methodsTwo study cohorts were selected. Cohort A included subjects with positive test results for SARS-CoV-2 between February 20, 2020 and December 10, 2020; cohort B included subjects infected with SARS-CoV-2 and hospitalized between February 20, 2020 and December 31, 2020. We compared the risk of hospitalization, intensive care unit access, need for mechanical ventilation, and death in azithromycin users versus nonusers. A clustered Fine-Gray analysis was employed to assess the risk of hospitalization; logistic and Cox regressions were performed to assess the risk of intensive care unit access, mechanical ventilation, and death.

resultsIn cohort A, among 4861 azithromycin users and 4861 propensity-matched nonusers, azithromycin use was associated with higher risk of hospitalization (hazard ratio [HR] 1.59, 95% confidence interval [CI] 1.45-1.75) compared with nonuse. In cohort B, among 997 subjects selected in both groups, azithromycin use was not significantly associated with intensive care unit access (odds ratio [OR] 1.22, 95% CI 0.93-1.56), mechanical ventilation (OR 1.30, 95% CI 0.99-1.70), 14-day mortality (HR0.88, 95% CI 0.74-1.05), or 30-day mortality (HR 0.89, 95% CI 0.77-1.03).

conclusionOur findings confirm the lack of benefits of azithromycin treatment among community patients infected with SARS-CoV-2, raising concern on potential risks associated with its inappropriate use.

Indexed as

COVID-19 Drug TreatmentAzithromycinHospitalizationHumansRespiration, ArtificialSARS-CoV-2AzithromycinAzithromycinCOVID-19HospitalizationIntensive care unit accessItalyMechanical ventilationMortality

Identifiers

PMID36089152
PMCPMC9458549
OpenAlexW4295008835

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.