Evidence map›Paper›PMID 40196269›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Pediatric antibiotic use associated with respiratory syncytial virus and influenza in the United States, 2008-2018.

Laura M King, Katia J Bruxvoort, Sara Y Tartof, Joseph A Lewnard

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Laura M KingUniversity of California, Berkeley, School of Public Health, Berkeley, California, USA.ORCID 0000-0002-7785-4712
Katia J BruxvoortUniversity of Alabama at Birmingham, Birmingham, Alabama, USA.
Sara Y TartofKaiser Permanente Department of Research & Evaluation Southern California, Pasadena, California, USA.
Joseph A LewnardUniversity of California, Berkeley, School of Public Health, Berkeley, California, USA.

Funding

Quantifying the impact of vaccines on antibiotic use for respiratory infections in childrenF31AI174773 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI KING, LAURA · 2023 to 2025
$90k
NIAID NIH HHS F31 AI174773
6 · The paper itself

Abstract

Background: Understanding of the contributions of respiratory syncytial virus (RSV) and influenza infections to pediatric antibiotic use is limited. We aimed to estimate the proportions and incidence of outpatient antibiotic prescriptions associated with RSV and influenza infections in a sample of commercially-insured US children. Methods: We conducted a retrospective study of outpatient antibiotic prescriptions dispensed to children in the Optum Clinformatics Results: An estimated 6.3% (95% confidence interval 5.2-7.3%) and 3.4% (3.1-3.8%) of antibiotic prescriptions were associated with RSV and influenza, respectively. These estimates translate to 72.6 (59.7-85.9) RSV-associated and 40.0 (35.1-45.1) influenza-associated antibiotic prescriptions per 1000 children annually. RSV-associated antibiotic prescription incidence was highest among children aged ≤5 years while influenza-associated antibiotic prescriptions were highest among children >5 years. Macrolides were the antibiotic class for which RSV and influenza accounted for the greatest share of prescribing. Conclusions: RSV and influenza account for meaningful proportions of pediatric antibiotic prescriptions. Measures to prevent RSV and influenza infections in children, including immunization, may reduce antibiotic use and aid in mitigating antibiotic resistance.

Indexed as

antibioticsantibiotic stewardshipinfluenzapediatricsRespiratory syncytial virustime series

Identifiers

PMID40196269
PMCPMC11974986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.