ArticleThe Journal of hospital infection2021
Impact of the COVID-19 pandemic on the surveillance of antimicrobial resistance.
Article in The Journal of hospital infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled 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.
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
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Antibiotic resistance associated with the COVID-19 pandemic: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023Pooled it
- Impact of COVID-19 pandemic on multidrug resistant gram positive and gram negative pathogens: A systematic review.Journal of infection and public health · 2023Pooled it
- Trends, Seasonality, and the Impact of COVID-19 on ClinicalAntibiotics (Basel, Switzerland) · 2026Article
- Serotype distribution and antimicrobial resistance ofJournal of medical microbiology · 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
- Article
- Unveiling the impact: COVID-19's influence on bacterial resistance in the Kingdom of Bahrain.World journal of virology · 2025Article
- Severe co-infection caused by difficult-to-diagnose hypermucoviscous Klebsiella pneumoniae K1-ST82 in a patient with COVID-19: a case report.BMC infectious diseases · 2024Article
- A scoping review of bacterial resistance among inpatients amidst the COVID-19 pandemic.Journal of global antimicrobial resistance · 2024Article
- Enhancing Clinical Utility: Utilization of International Standards and Guidelines for Metagenomic Sequencing in Infectious Disease Diagnosis.International journal of molecular sciences · 2024Review
- Innovative Approaches to Monitor Central Line Associated Bloodstream Infections (CLABSIs) Bundle Efficacy in Intensive Care Unit (ICU): Role of Device Standardized Infection Rate (dSIR) and Standardized Utilization Ratio (SUR)-An Italian Experience.Journal of clinical medicine · 2024Article
- Multiple impacts of the COVID-19 pandemic and antimicrobial stewardship on antimicrobial resistance in nosocomial infections: an interrupted time series analysis.Frontiers in public health · 2024Article
- Prevalence and Antimicrobial Resistance Patterns of Hospital Acquired Infections through the COVID-19 Pandemic: Real-Word Data from a Tertiary Urological Centre.Journal of clinical medicine · 2023Article
- Antibiotic use and consumption among medical patients of two hospitals in Sierra Leone: a descriptive report.BMC infectious diseases · 2023Article
- National action plans for antimicrobial resistance and variations in surveillance data platforms.Bulletin of the World Health Organization · 2023Article
- The Hidden Cost of COVID-19: Focus on Antimicrobial Resistance in Bloodstream Infections.Microorganisms · 2023Review
- Review
- Changes of Klebsiella pneumoniae infection and carbapenem resistance in ICU elderly infected patients before and after the COVID-19 pandemic in Zhengzhou, China.The Journal of infection · 2023Article
- Evaluation of antibiotics resistance in Southern Iran in light of COVID-19 pandemic: A retrospective observational study.Health science reports · 2023Article
- Trends inAntibiotics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe impact of the coronavirus disease (COVID-19) pandemic on antimicrobial resistance (AMR) is a major concern.
aimTo compare the number of patients and isolation rate of antimicrobial-resistant bacteria before and after the beginning of the COVID-19 pandemic using the comprehensive national surveillance data.
methodsWe utilized comprehensive surveillance data, collected in the Japan Nosocomial Infections Surveillance programme, which included a total of 16.7 million samples of 5.9 million tested patients from >1300 hospitals. We compared the number of patients and isolation rate of five bacteria between 2019 and 2020, including antimicrobial-susceptible and -resistant bacteria of Staphylococcus aureus, Streptococcus pneumoniae, Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa.
findingsThe number of patients and isolation rate of S. aureus and meticillin-resistant S. aureus decreased slightly; those of S. pneumoniae and penicillin-resistant S. pneumoniae decreased by 60%; and those of third-generation cephalosporin-resistant K. pneumoniae increased. The isolation rate of the remaining bacteria apparently increased, although the number of patients decreased. This was due to a substantial decrease in the total number of tested patients (the denominator of the isolation rate), which was larger than that of the number of patients (the numerator of the isolation rate). Consistent results were obtained when the same data were re-aggregated using the procedure of the World Health Organization Global Antimicrobial Resistance Surveillance System, demonstrating the general importance of this problem.
conclusionSurveillance data during the COVID-19 pandemic must be carefully interpreted based on examination of the numerator, denominator and background factors that affect the denominator.
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.