Evidence map›Paper›PMID 30369719›Full record

ArticleSensors and actuators. B, Chemical2018

Single-cell electro-phenotyping for rapid assessment of

Ali Rohani, John H Moore, Yi-Hsuan Su, Victoria Stagnaro, Cirle Warren, Nathan S Swami

Abstract read
In one paragraph

Article in Sensors and actuators. B, Chemical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  11. Minimum Bactericidal Concentration of Ciprofloxacin toSensors and actuators. B, Chemical · 2020
    Article
  12. RapidACS infectious diseases · 2020
    Article
  13. Article
  14. 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

6 authors.

Ali RohaniElectrical & Computer Engineering, University of Virginia.
John H MooreElectrical & Computer Engineering, University of Virginia.
Yi-Hsuan SuElectrical & Computer Engineering, University of Virginia.
Victoria StagnaroElectrical & Computer Engineering, University of Virginia.
Cirle WarrenInfectious Diseases, School of Medicine, University of Virginia.
Nathan S SwamiElectrical & Computer Engineering, University of Virginia.

Funding

Optimizing Inter-Microbial Antagonisms to Control Clostridium Difficile InfectionR21AI130902 · NIAID · UNIVERSITY OF VIRGINIA · PI SWAMI, NATHAN, WARREN, CIRLE ALCANTARA · 2017 to 2018
$413k
NIAID NIH HHS R21 AI130902
6 · The paper itself

Abstract

Current methods for measurement of antibiotic susceptibility of pathogenic bacteria are highly reliant on microbial culture, which is time consuming (requires > 16 hours), especially at near minimum inhibitory concentration (MIC) levels of the antibiotic. We present the use of single-cell electrophysiology-based microbiological analysis for rapid phenotypic identification of antibiotic susceptibility at near-MIC levels, without the need for microbial culture.

Indexed as

antibioticbacteriadielectrophoresiselectrorotationminimum inhibitory concentrationsingle-cell analysis

Identifiers

PMID30369719
PMCPMC6201234

What OpenQuestion holds

Textmetadata
LicenceTDM
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.