Evidence map›Paper›PMID 29436417›Full record

ArticleJournal of clinical microbiology2018

The Slow March toward Rapid Phenotypic Antimicrobial Susceptibility Testing: Are We There Yet?

Christopher D Doern

Abstract readComment
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Rapid detection of carbapenem resistance via MALDI-TOF MS using an innovative broth microgrowth assay.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  15. Rapid identification and antimicrobial susceptibility testing of Gram-negative rod on positive blood cultures using MicroScan panels.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  16. A Rapid Antimicrobial Susceptibility Test forInfection and drug resistance · 2021
    Article
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  20. Clinical impact of rapid susceptibility testing on Mueller-Hinton Rapid-SIR directly from urine specimens.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Christopher D DoernDepartment of Pathology, Virginia Commonwealth University Health System, Richmond, Virginia, USA Christopher.doern@vcuhealth.org.ORCID 0000-0003-2454-4355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial susceptibility testing (AST) provides critical information for the management of patients with infections. The gold standard methods for assessing organism susceptibility are still based on growth and require incubation over relatively long periods of time. Until now, little progress has been made in developing rapid, growth-based, phenotypic AST systems. This commentary puts the recently FDA-cleared Accelerate PhenoTest (P. Pancholi et al., J Clin Microbiol 56:e01329-17, 2018, https://doi.org/10.1128/JCM.01329-17) in context by providing a historical perspective on attempts to accelerate phenotypic susceptibility results. In addition, some promising new innovations that promise to shorten the turnaround time for phenotypic AST will be briefly reviewed.

Indexed as

Anti-Infective AgentsHumansTime FactorsAnti-Infective Agentsblood culturephenotypicrapidsusceptibility testing

Identifiers

PMID29436417
PMCPMC5869850

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.