Evidence map›Paper›PMID 38248425›Full record

ArticleBiosensors2024

A Path towards Timely VAP Diagnosis: Proof-of-Concept Study on Pyocyanin Sensing with Cu-Mg Doped Graphene Oxide.

Mohammad Noorizadeh, Mithra Geetha, Faycal Bensaali, Nader Meskin, Kishor K Sadasivuni, Susu M Zughaier, Mahmoud Elgamal, Ali Ait Hssain

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. 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
0.9field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Mohammad NoorizadehDepartment of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-1109-1214
Mithra GeethaDepartment of Mechanical and Industrial Engineering, Centre for Advanced Materials, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-6634-6659
Faycal BensaaliDepartment of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-9273-4735
Nader MeskinDepartment of Electrical Engineering, College of Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-3098-9369
Kishor K SadasivuniDepartment of Mechanical and Industrial Engineering, Centre for Advanced Materials, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-2730-6483
Susu M ZughaierCollege of Medicine, QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0001-7487-8770
Mahmoud ElgamalCollege of Medicine, QU Health, Qatar University, Doha 2713, Qatar.ORCID 0000-0001-8664-7988
Ali Ait HssainMedical Intensive Care Unit, Hamad Medical Corporation, Doha 3050, Qatar.ORCID 0000-0002-7764-5793
Qatar University · QAHamad Medical Corporation · QA

Funding

International Research Collaboration Co-Fund (IRCC) grant of Qatar University IRCC-2022-569Qatar National Research Fund MME03-1226-210042
6 · The paper itself

Abstract

In response to the urgent requirement for rapid, precise, and cost-effective detection in intensive care units (ICUs) for ventilated patients, as well as the need to overcome the limitations of traditional detection methods, researchers have turned their attention towards advancing novel technologies. Among these, biosensors have emerged as a reliable platform for achieving accurate and early diagnoses. In this study, we explore the possibility of using Pyocyanin analysis for early detection of pathogens in ventilator-associated pneumonia (VAP) and lower respiratory tract infections in ventilated patients. To achieve this, we developed an electrochemical sensor utilizing a graphene oxide-copper oxide-doped MgO (

Indexed as

GraphitePneumonia, Ventilator-AssociatedPyocyanineCopperHumansMagnesium OxideCoppergraphene oxideGraphiteMagnesium OxidePyocyaninebiosensorsbio-signal processingDNA aptamerelectrochemistrynosocomial infectionsventilator-associated pneumonia (VAP)

Identifiers

PMID38248425
PMCPMC11154305
OpenAlexW4390912956

What OpenQuestion 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 OpenQuestion graph.