Evidence map›Paper›PMID 36113846›Full record

ArticleJournal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy2023

Temporal trends in microbial detection during the COVID-19 pandemic: Analysis of the Japan surveillance for Infection Prevention and Healthcare Epidemiology (J-SIPHE) database.

Akira Endo, Yusuke Asai, Taichi Tajima, Mio Endo, Takayuki Akiyama, Nobuaki Matsunaga, Haruhiko Ishioka, Shinya Tsuzuki, Norio Ohmagari

Open access · greenAbstract read
In one paragraph

Article in Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Clinical microbiology reviews · 2025
    Review
  3. Article
  4. Article
  5. 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

9 authors at 3 institutions in 3 countries.

Akira EndoDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan; AMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Yusuke AsaiAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Taichi TajimaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Mio EndoAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Takayuki AkiyamaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Nobuaki MatsunagaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Haruhiko IshiokaAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan.
Shinya TsuzukiAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan; Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium. Electronic address: stsuzuki@hosp.ncgm.go.jp.
Norio OhmagariAMR Clinical Reference Center, National Center for Global Health and Medicine, Tokyo, Japan; Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
National Center for Global Health and Medicine · JPLondon School of Hygiene & Tropical Medicine · GBUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of the COVID-19 pandemic on the incidence of microbial infections and other metrics related to antimicrobial resistance (AMR) has not yet been fully described. Using data from Japan Surveillance for Infection Prevention and Healthcare Epidemiology (J-SIPHE), a national surveillance database system that routinely collects clinical and epidemiological data on microbial infections, infection control practices, antimicrobial use, and AMR emergence from participating institutions in Japan, we assessed the temporal changes in AMR-related metrics before and after the start of the COVID-19 pandemic. We found that an apparent decrease in the incidence of microbial infections in 2020 compared with 2019 may have been driven primarily by a reduction in bed occupancy, although the incidence showed a constant or even slightly increasing trend after adjusting for bed occupancy. Meanwhile, we found that the incidence of Streptococcus pneumoniae dramatically decreased from April 2020 onward, probably due to stringent non-pharmaceutical interventions against COVID-19. Antimicrobial use showed a weak increasing trend, while the use of hand sanitiser at the included medical institutions increased by about 50% in 2020 compared with 2019.

Indexed as

COVID-19Drug Resistance, BacterialAnti-Bacterial AgentsDelivery of Health CareHumansJapanPandemicsAnti-Bacterial AgentsAntimicrobial resistanceCOVID-19Surveillance

Identifiers

PMID36113846
PMCPMC9472589
OpenAlexW4295648193

What OpenQuestion holds

Textmetadata
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.