Evidence map›Paper›PMID 32055026›Full record

ReviewNature reviews. Microbiology2020

Innovative and rapid antimicrobial susceptibility testing systems.

Alex van Belkum, Carey-Ann D Burnham, John W A Rossen, Frederic Mallard, Olivier Rochas, William Michael Dunne

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
27.4field-weighted citation impact, top 1% 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

141 citing papers in PubMed, 330 citations in OpenAlex.

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81 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 3 countries.

Alex van BelkumbioMérieux, Open Innovation and Partnerships, La Balme Les Grottes, France. alex.vanbelkum@biomerieux.com.ORCID http://orcid.org/0000-0001-8545-5108
Carey-Ann D BurnhamDepartment of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1137-840X
John W A RossenUniversity of Groningen, University Medical Center Groningen, Department of Medical Microbiology and Infection Prevention, Groningen, Netherlands.ORCID http://orcid.org/0000-0002-7167-8623
Frederic MallardbioMérieux, Clinical Unit, Grenoble, France.
Olivier RochasbioMérieux, Business Development Direction, Marcy L'Etoile, France.ORCID http://orcid.org/0000-0003-0940-5146
William Michael DunneDepartment of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA.
bioMérieux (France) · FRWashington University in St. Louis · USInstitut Mérieux (France) · FRUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a major threat to human health worldwide, and the rapid detection and quantification of resistance, combined with antimicrobial stewardship, are key interventions to combat the spread and emergence of AMR. Antimicrobial susceptibility testing (AST) systems are the collective set of diagnostic processes that facilitate the phenotypic and genotypic assessment of AMR and antibiotic susceptibility. Over the past 30 years, only a few high-throughput AST methods have been developed and widely implemented. By contrast, several studies have established proof of principle for various innovative AST methods, including both molecular-based and genome-based methods, which await clinical trials and regulatory review. In this Review, we discuss the current state of AST systems in the broadest technical, translational and implementation-related scope.

Indexed as

Anti-Infective AgentsHigh-Throughput Screening AssaysMicrobial Sensitivity TestsAnti-Infective Agents

Identifiers

PMID32055026
OpenAlexW3005724445

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.