Evidence map›Paper›PMID 38528800›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Rapid Phenotypic Antibiotics Susceptibility Analysis by a 3D Printed Prototype.

Oliver Riester, Lars Kaiser, Stefan Laufer, Hans-Peter Deigner

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Rapid Phenotypic Antibiotics Susceptibility Analysis by a 3D Printed Prototype.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

4 authors at 3 institutions in 1 country.

Oliver RiesterInstitute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Strasse 17, 78054, Villingen-Schwenningen, Germany.
Lars KaiserInstitute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Strasse 17, 78054, Villingen-Schwenningen, Germany.
Stefan LauferInstitute of Pharmaceutical Sciences, Department of Pharmacy and Biochemistry, Eberhard-Karls-University Tuebingen, Auf der Morgenstelle 8, 72076, Tuebingen, Germany.
Hans-Peter DeignerInstitute of Precision Medicine, Furtwangen University, Jakob-Kienzle-Strasse 17, 78054, Villingen-Schwenningen, Germany.ORCID 0000-0002-7745-0152
University of Tübingen · DEFraunhofer-Gesellschaft · DEFurtwangen University · DE

Funding

Bundesministerium für Bildung, Wissenschaft und Forschung 32-7545.20/4/59Federal Ministry of Science, Research, and Art of Baden-Württemberg 32-7545.20/4/59Steinbeis Center for Personalized Medicine StZ 1789
6 · The paper itself

Abstract

One of the most important public health concerns is the increase in antibiotic-resistant pathogens and corresponding treatment of associated infections. Addressing this challenge requires more efficient use of antibiotics, achievable by the use of evidence-based, effective antibiotics identified by antibiotic susceptibility testing (AST). However, the current standard method of phenotypic AST used for this purpose requires 48 h or more from sample collection to result. Until results are available, broad-spectrum antibiotics are used to avoid delaying treatment. The turnaround time must therefore be shortened in order for the results to be available before the second administration of antibiotics. The phenotypic electrochemical AST method presented here identifies effective antibiotics within 5-10 h after sampling. Spiked serum samples, including polymicrobial samples, with clinically relevant pathogens and respective concentrations commonly found in bloodstream infections (Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, and Pseudomonas aeruginosa) are used. Direct loading of the test with diluted serum eliminates the need for a pre-culture, as required by existing methods. Furthermore, by combining several electrochemical measurement procedures with computational analysis, allowing the method to be used both online and offline, the AST achieves a sensitivity of 94.44% and a specificity of 95.83% considering each replicate individually.

Indexed as

Anti-Bacterial AgentsMicrobial Sensitivity TestsPhenotypePrinting, Three-DimensionalEscherichia coliHumansKlebsiella pneumoniaePseudomonas aeruginosaStaphylococcus aureusAnti-Bacterial Agents3D printerantibiotic resistancesantibiotic susceptibility testingno preculturephenotypicscreen printed electrodes

Identifiers

PMID38528800
PMCPMC11151047
OpenAlexW4393182807

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.