Evidence map›Paper›PMID 28638468›Full record

ReviewTheranostics2017

Current and emerging techniques for antibiotic susceptibility tests.

Karan Syal, Manni Mo, Hui Yu, Rafael Iriya, Wenwen Jing, Sui Guodong, Shaopeng Wang, Thomas E Grys, Shelley E Haydel, Nongjian Tao

Abstract readReview
In one paragraph

Review in Theranostics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 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

89 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Screening, characterization, and potential anti-hangover ability of selenium nanoparticle-enriched lactobacillus.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

29 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

10 authors.

Karan SyalCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Manni MoCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Hui YuCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Rafael IriyaCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Wenwen JingCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Sui GuodongInstitute of Biomedical Science, Fudan University, Shanghai, China.
Shaopeng WangCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Thomas E GrysDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, Arizona 85054, USA.
Shelley E HaydelCenter for Immunotherapy, Vaccines, and Virotherapy, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.
Nongjian TaoCenter for Biosensors and Bioelectronics, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases caused by bacterial pathogens are a worldwide burden. Serious bacterial infection-related complications, such as sepsis, affect over a million people every year with mortality rates ranging from 30% to 50%. Crucial clinical microbiology laboratory responsibilities associated with patient management and treatment include isolating and identifying the causative bacterium and performing antibiotic susceptibility tests (ASTs), which are labor-intensive, complex, imprecise, and slow (taking days, depending on the growth rate of the pathogen). Considering the life-threatening condition of a septic patient and the increasing prevalence of antibiotic-resistant bacteria in hospitals, rapid and automated diagnostic tools are needed. This review summarizes the existing commercial AST methods and discusses some of the promising emerging AST tools that will empower humans to win the evolutionary war between microbial genes and human wits.

Indexed as

Anti-Bacterial AgentsAutomation, LaboratoryBacteriaBacterial InfectionsHumansMicrobial Sensitivity TestsAnti-Bacterial Agentsantibiotic susceptibility testsAST methods

Identifiers

PMID28638468
PMCPMC5479269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.