Evidence map›Paper›PMID 36216371›Full record

ArticleBJGP open2022

Comparing antibiotic prescriptions in primary care between SARS-CoV-2 and influenza: a retrospective observational study.

Martijn Sijbom, Frederike L Büchner, Nicholas H Saadah, Mark Gj de Boer, Mattijs E Numans

Open access · goldAbstract read
In one paragraph

Article in BJGP open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. From test to rest: evaluating socioeconomic differences along the COVID-19 care pathway in the Netherlands.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Observational
  3. 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

5 authors at 1 institution in 1 country.

Martijn SijbomDepartment of Public Health and Primary Care, location Health Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands m.sijbom@lumc.nl.ORCID https://orcid.org/0000-0002-7264-269X
Frederike L BüchnerDepartment of Public Health and Primary Care, location Health Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-8977-5344
Nicholas H SaadahDepartment of Public Health and Primary Care, location Health Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-0017-3919
Mark Gj de BoerDepartment of Infectious Diseases & Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-5009-6499
Mattijs E NumansDepartment of Public Health and Primary Care, location Health Campus The Hague, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-0368-5426
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotics are frequently prescribed during viral respiratory infection episodes in primary care. There is limited information about antibiotic prescription during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in primary care and its association with risk factors for an adverse course.

aimTo compare the proportion of antibiotic prescriptions between patients with COVID-19 and influenza or influenza-like symptoms, and to assess the association between antibiotic prescriptions and risk factors for an adverse course of COVID-19. DESIGN &

settingAn observational cohort study using pseudonymised and coded routine healthcare data extracted from 85 primary care practices in the Netherlands.

methodAdult patients with influenza and influenza-like symptoms were included from the 2017 influenza season to the 2020 season. Adult patients with suspected or confirmed COVID-19 were included from the first (15 February 2020-1 August 2020) and second (1 August 2020-1 January 2021) SARS-CoV-2 waves. Proportions of antibiotic prescriptions were calculated for influenza and COVID-19 patients. Odds ratios (ORs) were used to compare the associations of antibiotic prescriptions in COVID-19 patients with risk factors, hospital admission, intensive care unit (ICU) admission, and mortality.

resultsThe proportion of antibiotic prescriptions during the first SARS-CoV-2 wave was lower than during the 2020 influenza season (9.6% versus 20.7%), difference 11.1% (95% confidence interval [CI] = 8.7 to 13.5). During the second SARS-CoV-2 wave, antibiotic prescriptions were associated with being aged ≥70 years (OR 2.05; 95% CI = 1.43 to 2.93), the number of comorbidities (OR 1.46; 95% CI = 1.18 to 1.82), and admission to hospital (OR 3.19; 95% CI = 2.02 to 5.03) or ICU (OR 4.64; 95% CI = 2.02 to 10.62).

conclusionAntibiotic prescription was less common during the SARS-CoV-2 pandemic than during influenza seasons, and was associated with an adverse course and its risk factors. The findings suggest a relatively targeted prescription policy of antibiotics in primary care during COVID-19.

Indexed as

antibioticsinfluenza, humanprimary health careSARS-CoV-2

Identifiers

PMID36216371
PMCPMC9904792
OpenAlexW4304147513

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.