Evidence map›Paper›PMID 32724337›Full record

ArticleAnalytical methods : advancing methods and applications2019

Frontiers in Electrochemical Sensors for Neurotransmitter Detection: Towards Measuring Neurotransmitters as Chemical Diagnostics for Brain Disorders.

Yangguang Ou, Anna Marie Buchanan, Colby E Witt, Parastoo Hashemi

Open access · hybridAbstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  12. SmartFSCV: An Artificial Intelligence Enabled Miniaturised FSCV Device Targeting Serotonin.IEEE open journal of engineering in medicine and biology · 2024
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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

4 authors at 1 institution in 1 country.

Yangguang OuDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia SC.
Anna Marie BuchananDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia SC.
Colby E WittDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia SC.
Parastoo HashemiDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia SC.
University of South Carolina · US

Funding

An In Vivo Voltammetric Serotonin Biomarker for Antidepressant EfficacyR01MH106563 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HASHEMI, PARASTOO · 2016 to 2020
$1.6M
NIMH NIH HHS R01 MH106563
6 · The paper itself

Abstract

It is extremely challenging to chemically diagnose disorders of the brain. There is hence great interest in designing and optimizing tools for direct detection of chemical biomarkers implicated in neurological disorders to improve diagnosis and treatment. Tools that are capable of monitoring brain chemicals, neurotransmitters in particular, need to be biocompatible, perform with high spatiotemporal resolution, and ensure high selectivity and sensitivity. Recent advances in electrochemical methods are addressing these criteria; the resulting devices demonstrate great promise for

Indexed as

acetylcholinebiosensordopamineglutamateserotoninvoltammetry

Identifiers

PMID32724337
PMCPMC7386554
OpenAlexW2946386151

What OpenQuestion holds

Textmetadata
LicenceTDM
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.