Evidence map›Paper›PMID 30191805›Full record

ReviewMicrobiology spectrum2018

Transmission Surveillance for Antimicrobial-Resistant Organisms in the Health System.

Johann D D Pitout

Abstract readReview
In one paragraph

Review in Microbiology spectrum, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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.

Johann D D PitoutDepartments of Pathology & Laboratory Medicine, Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Division of Microbiology, Calgary Laboratory Services, Calgary, Alberta, Canada; and Department of Medical Microbiology, University of Pretoria, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance of antibiotic resistance involves the collection of antibiotic susceptibility patterns undertaken by clinical microbiology laboratories on bacteria isolated from clinical specimens. Global surveillance programs have shown that antibiotic resistance is a major threat to the public at large and play a crucial role in the development of enhanced diagnostics as well as potential vaccines and novel antibiotics with activity against antimicrobial-resistant organisms. This review focuses primarily on examples of global surveillance systems. Local, national, and global integrated surveillance programs with sufficient data linkage between these schemes, accompanied by enhanced genomics and user-friendly bioinformatics systems, promise to overcome some of the stumbling blocks encountered in the understanding, emergence, and transmission of antimicrobial-resistant organisms.

Indexed as

Drug Resistance, MicrobialHealth Systems PlansPublic Health SurveillanceAnti-Bacterial AgentsBacteriaComputational BiologyDrug Resistance, BacterialEpidemiological MonitoringGlobal HealthHumansAnti-Bacterial Agents

Identifiers

PMID30191805
PMCPMC11633628

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.