Evidence map›Paper›PMID 35743662›Full record

ArticleJournal of personalized medicine2022

Antibiotic Prescription and In-Hospital Mortality in COVID-19: A Prospective Multicentre Cohort Study.

Larisa Pinte, Alexandr Ceasovschih, Cristian-Mihail Niculae, Laura Elena Stoichitoiu, Razvan Adrian Ionescu, Marius Ioan Balea, Roxana Carmen Cernat, Nicoleta Vlad, Vlad Padureanu, Adrian Purcarea and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 27 citations in OpenAlex.

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  18. White Blood Cells, COVID-19, and Mendelian Randomization.Journal of personalized medicine · 2022
    Article
  19. Azithromycin through the Lens of the COVID-19 Treatment.Antibiotics (Basel, Switzerland) · 2022
    Review
  20. 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 5 institutions in 2 countries.

Larisa PinteFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-9548-9165
Alexandr CeasovschihDepartment of Internal Medicine, Clinical Emergency Hospital Sfantul Spiridon, 700111 Iasi, Romania.ORCID 0000-0002-0043-9051
Cristian-Mihail NiculaeFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-6359-238X
Laura Elena StoichitoiuFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Razvan Adrian IonescuFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Marius Ioan BaleaDepartment of Pneumology, Colentina Clinical Hospital, 020125 Bucharest, Romania.
Roxana Carmen CernatFaculty of Medicine, Ovidius University, 900527 Constanta, Romania.
Nicoleta VladFaculty of Medicine, Ovidius University, 900527 Constanta, Romania.ORCID 0000-0003-1230-6819
Vlad PadureanuDepartment of Internal Medicine, University of Medicine and Pharmacy Craiova, 200349 Craiova, Romania.ORCID 0000-0001-7398-5689
Adrian PurcareaDepartment of Internal Medicine, Sacele County Hospital, 505600 Brasov, Romania.
Camelia BadeaFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Adriana HristeaFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-6505-1699
Laurenţiu SorodocDepartment of Internal Medicine, Clinical Emergency Hospital Sfantul Spiridon, 700111 Iasi, Romania.
Cristian BaicusFaculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-7954-0098
Carol Davila University of Medicine and Pharmacy · ROGrigore T. Popa University of Medicine and Pharmacy · ROOvidius University · ROSpitalul Clinic Colentina · ROUniversity of Medicine and Pharmacy of Craiova · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the beginning of the COVID-19 pandemic, empiric antibiotics (ATBs) have been prescribed on a large scale in both in- and outpatients. We aimed to assess the impact of antibiotic treatment on the outcomes of hospitalised patients with moderate and severe coronavirus disease 2019 (COVID-19).

methodsWe conducted a prospective multicentre cohort study in six clinical hospitals, between January 2021 and May 2021.

resultsWe included 553 hospitalised COVID-19 patients, of whom 58% (311/553) were prescribed antibiotics, while bacteriological tests were performed in 57% (178/311) of them. Death was the outcome in 48 patients-39 from the ATBs group and 9 from the non-ATBs group. The patients who received antibiotics during hospitalisation had a higher mortality (RR = 3.37, CI 95%: 1.7-6.8), and this association was stronger in the subgroup of patients without reasons for antimicrobial treatment (RR = 6.1, CI 95%: 1.9-19.1), while in the subgroup with reasons for antimicrobial therapy the association was not statistically significant (OR = 2.33, CI 95%: 0.76-7.17). After adjusting for the confounders, receiving antibiotics remained associated with a higher mortality only in the subgroup of patients without criteria for antibiotic prescription (OR = 10.3, CI 95%: 2-52).

conclusionsIn our study, antibiotic treatment did not decrease the risk of death in the patients with mild and severe COVID-19, but was associated with a higher risk of death in the subgroup of patients without reasons for it.

Indexed as

antibacterial agentsantibioticscohort studiesCOVID-19hospital mortalitymortalityprospective studiesSARS-CoV-2

Identifiers

PMID35743662
PMCPMC9224767
OpenAlexW4281617466

What OpenQuestion holds

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Registered trials

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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.