Evidence map›Paper›PMID 33187331›Full record

ReviewMolecules (Basel, Switzerland)2020

Advances in Optical Detection of Human-Associated Pathogenic Bacteria.

Andrea Locke, Sean Fitzgerald, Anita Mahadevan-Jansen

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

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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

3 authors.

Andrea LockeVanderbilt Biophotonics Center, Nashville, TN 37232, USA.
Sean FitzgeraldVanderbilt Biophotonics Center, Nashville, TN 37232, USA.
Anita Mahadevan-JansenVanderbilt Biophotonics Center, Nashville, TN 37232, USA.

Funding

Integration of Raman Spectroscopy and Optical Coherence Tomography (RS-OCT) for In-Vivo Identification of Bacterial Otitis MediaR01EB028615 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BOPPART, STEPHEN A, MAHADEVAN-JANSEN, ANITA · 2019 to 2022
$2.5M
NIBIB NIH HHS R01 EB028615NIH HHS R01 EB028615-02
6 · The paper itself

Abstract

Bacterial infection is a global burden that results in numerous hospital visits and deaths annually. The rise of multi-drug resistant bacteria has dramatically increased this burden. Therefore, there is a clinical need to detect and identify bacteria rapidly and accurately in their native state or a culture-free environment. Current diagnostic techniques lack speed and effectiveness in detecting bacteria that are culture-negative, as well as options for in vivo detection. The optical detection of bacteria offers the potential to overcome these obstacles by providing various platforms that can detect bacteria rapidly, with minimum sample preparation, and, in some cases, culture-free directly from patient fluids or even in vivo. These modalities include infrared, Raman, and fluorescence spectroscopy, along with optical coherence tomography, interference, polarization, and laser speckle. However, these techniques are not without their own set of limitations. This review summarizes the strengths and weaknesses of utilizing each of these optical tools for rapid bacteria detection and identification.

Indexed as

BacteriaBacterial InfectionsBiofilmsCulture MediaHumansIn Situ Hybridization, FluorescenceLactobacillus acidophilusLasersMicroscopy, InterferenceOptics and PhotonicsPoint-of-Care TestingSpectrometry, FluorescenceSpectrophotometry, InfraredSpectrum Analysis, RamanStreptomycesTomography, Optical CoherenceCulture Mediabacterial infectionfluorescenceinfraredOCToptical detectionRaman

Identifiers

PMID33187331
PMCPMC7696695

What OpenQuestion holds

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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 OpenQuestion graph.