Evidence map›Paper›PMID 34680770›Full record

ReviewAntibiotics (Basel, Switzerland)2021

A View on 20 Years of Antimicrobial Resistance in Japan by Two National Surveillance Systems: The National Epidemiological Surveillance of Infectious Diseases and Japan Nosocomial Infections Surveillance.

Satowa Suzuki

Open access · goldAbstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. High-risk clonal expansion of IMP-producingAntimicrobial agents and chemotherapy · 2025
    Article
  5. Article
  6. Article
  7. Nationwide genome surveillance of carbapenem-resistantAntimicrobial agents and chemotherapy · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Epidemiological Characteristics of Carbapenem-ResistantPathogens (Basel, Switzerland) · 2023
    Article
  13. Healthcare-associated infections by multidrug-resistant bacteria in Andalusia, Spain, 2014 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Observational
  14. Article
  15. Review
  16. 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

1 author at 1 institution in 1 country.

Satowa SuzukiAntimicrobial Resistance Research Center, National Institute of Infectious Diseases, Tokyo 187-0003, Japan.
National Institute of Infectious Diseases · JP

Funding

Japan Agency for Medical Research and Development 21fk0108604j0101
6 · The paper itself

Abstract

The Ministry of Health, Labour and Welfare (MHLW) of Japan has conducted two national surveillance systems for approximately 20 years to monitor antimicrobial resistance (AMR) in bacteria: the National Epidemiological Surveillance of Infectious Diseases (NESID) and the Japan Nosocomial Infections Surveillance (JANIS). Data accumulated for 20 years by these two surveillance systems have helped depict the epidemiology of the representative AMR bacteria in Japan chronologically. The epidemiology of methicillin-resistant

Indexed as

antimicrobial resistancecarbapenem-resistant Enterobacterales (CRE)methicillin-resistant Staphylococcus aureusmultidrug-resistant Acinetobacter sp.multidrug-resistant Pseudomonas aeruginosasurveillancevancomycin-resistant enterococci

Identifiers

PMID34680770
PMCPMC8532729
OpenAlexW3204951041

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.