Evidence map›Paper›PMID 33888775›Full record

ArticleScientific reports2021

Rapid uropathogen identification using surface enhanced Raman spectroscopy active filters.

Simon D Dryden, Salzitsa Anastasova, Giovanni Satta, Alex J Thompson, Daniel R Leff, Ara Darzi

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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

6 authors.

Simon D DrydenDepartment of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10Th Floor, QEQM Wing, London, W2 1NY, UK. Simon.dryden@imperial.ac.uk.
Salzitsa AnastasovaHamlyn Centre for Robotic Surgery, Imperial College London, London, SW1 2AZ, UK.
Giovanni SattaDepartment of Infection, Imperial College NHS Trust, London, W6 8RF, UK.
Alex J Thompson *Department of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10Th Floor, QEQM Wing, London, W2 1NY, UK. Alex.thompson08@imperial.ac.uk.
Daniel R Leff *Department of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10Th Floor, QEQM Wing, London, W2 1NY, UK.
Ara Darzi *Department of Surgery and Cancer, Imperial College London, St Mary's Hospital, 10Th Floor, QEQM Wing, London, W2 1NY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infection is one of the most common bacterial infections leading to increased morbidity, mortality and societal costs. Current diagnostics exacerbate this problem due to an inability to provide timely pathogen identification. Surface enhanced Raman spectroscopy (SERS) has the potential to overcome these issues by providing immediate bacterial classification. To date, achieving accurate classification has required technically complicated processes to capture pathogens, which has precluded the integration of SERS into rapid diagnostics. This work demonstrates that gold-coated membrane filters capture and aggregate bacteria, separating them from urine, while also providing Raman signal enhancement. An optimal gold coating thickness of 50 nm was demonstrated, and the diagnostic performance of the SERS-active filters was assessed using phantom urine infection samples at clinically relevant concentrations (10

Indexed as

Enterococcus faecalisEscherichia coliHumansKlebsiella pneumoniaeSpectrum Analysis, RamanSurface PropertiesUrinary Tract Infections

Identifiers

PMID33888775
PMCPMC8062667

What OpenQuestion holds

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Registered trials

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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.