ArticleJournal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy2022
Impact of coronavirus disease 2019 on infectious disease treatment and infection control at a tertiary hospital in Japan.
Article in Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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
5 citing papers in PubMed, 12 citations in OpenAlex.
- COVID-19 impact on AMR: a rapid scoping review, equity analysis and evidence gap map study.BMJ global health · 2025Article
- Impact of coronavirus disease on the incidence rate of methicillin-resistant Staphylococcus aureus among hospitalized patients with lung cancer: a nationwide retrospective cohort study in Japan.Journal of pharmaceutical health care and sciences · 2025Article
- Impact of the COVID-19 pandemic on the epidemiology and molecular features of Pseudomonas aeruginosa bloodstream infections.Scientific reports · 2025Article
- A scoping review of bacterial resistance among inpatients amidst the COVID-19 pandemic.Journal of global antimicrobial resistance · 2024Article
- Gram-negative ESKAPE bacteria bloodstream infections in patients during the COVID-19 pandemic.PeerJ · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCoronavirus disease 2019 (COVID-19) has greatly impacted medical care practices. Although the effects on infectious disease treatment and infection control, such as antimicrobial resistance, have been specified, very few reports exist on the specific effects of COVID-19.
methodsWe investigated the effects of COVID-19 on daily medical practices at a tertiary hospital in Japan by comparing the use of hand sanitizers, the detection of bacteria from blood cultures, and the amount dose of antibacterial drugs used for one year before (April 2019 to March 2020, fiscal year 2019.) and after COVID-19 admissions began (April 2020 to March 2021, fiscal year 2020).
resultsThe use of hand sanitizers increased by 1.4-3 times during the year after COVID-19 admissions began; the incidence of methicillin-susceptible Staphylococcus aureus and all S. aureus detected in blood cultures reduced in all departments. No decrease was observed in the usage of all antibacterial drugs; rather, the usage of all antibacterial drugs tended to increase in all departments. Therefore, no significant change was observed in the detection of drug-resistant bacteria and the trends of antibacterial drug use based on the acceptance of COVID-19 patients.
conclusionsThe prevalence of drug-resistant bacteria and trends of antibacterial drug use remained unchanged despite the increased use of hand sanitizers due to the admission of patients with COVID-19.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.