Evidence map›Paper›PMID 33014600›Full record

ArticleBiomedical optics express2020

Innovative optofluidics and microscopy-based rapid analysis of pathogens.

Hao Wang, Priyanka Shiveshwarkar, Robert Brzozowski, Arseny Zhdanov, Shulin Shi, Prahathees Eswara, Anna Pyayt

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hao WangDepartment of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.
Priyanka ShiveshwarkarDepartment of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.
Robert BrzozowskiDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E, Fowler Ave. ISA 2015, Tampa, FL 33620, USA.
Arseny ZhdanovDepartment of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.ORCID https://orcid.org/0000-0002-0124-335X
Shulin ShiDepartment of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.
Prahathees EswaraDepartment of Cell Biology, Microbiology and Molecular Biology, University of South Florida, 4202 E, Fowler Ave. ISA 2015, Tampa, FL 33620, USA.
Anna PyaytDepartment of Chemical and Biomedical Engineering, University of South Florida, 4202 E. Fowler Ave, ENB118, Tampa, FL 33620, USA.

Funding

Division site determination in Gram-positive bacteriaR35GM133617 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI ESWARA, PRAHATHEES JAI · 2019 to 2023
$2.3M
NIGMS NIH HHS R35 GM133617
6 · The paper itself

Abstract

The timely knowledge and prescription of the most suitable antibiotic to treat bacterial infections is critical for the recovery of patients battling life-threatening bacterial infections. Unfortunately, current standard-of-care approaches relies on the empiric prescription of an antibiotic, as determination of the most effective antibiotic requires multiple time-consuming steps. These steps often include culturing of the bacterium responsible for infection and subsequent antibiotic susceptibility testing. Here we introduce an optofluidic technology that allows us to capture bacterial cells efficiently and rapidly from different biological samples and use the captured cells for rapid antibiotic selection thereby bypassing the need to culture the bacterium.

Identifiers

PMID33014600
PMCPMC7510850

What OpenQuestion holds

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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.