Evidence map›Paper›PMID 35520310›Full record

ArticleRSC advances2020

Development of a flexible, sweat-based neuropeptide Y detection platform.

Nathan Kodjo Mintah Churcher, Sayali Upasham, Paul Rice, Serena Bhadsavle, Shalini Prasad

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  13. End-to-end design of wearable sensors.Nature reviews. Materials · 2022
    Review
  14. Article
  15. Article
  16. Article
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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

5 authors at 1 institution in 1 country.

Nathan Kodjo Mintah ChurcherDepartment of Bioengineering, University of Texas at Dallas Richardson TX-75080 USA Shalini.Prasad@utdallas.edu.
Sayali UpashamDepartment of Bioengineering, University of Texas at Dallas Richardson TX-75080 USA Shalini.Prasad@utdallas.edu.ORCID https://orcid.org/0000-0002-3043-2010
Paul RiceDepartment of Bioengineering, University of Texas at Dallas Richardson TX-75080 USA Shalini.Prasad@utdallas.edu.
Serena BhadsavleDepartment of Bioengineering, University of Texas at Dallas Richardson TX-75080 USA Shalini.Prasad@utdallas.edu.
Shalini PrasadDepartment of Bioengineering, University of Texas at Dallas Richardson TX-75080 USA Shalini.Prasad@utdallas.edu.ORCID https://orcid.org/0000-0002-2404-3801
The University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropeptide Y (NPY) biomarker levels have a close association with the diagnosis of Major Depression Disorder (MDD) and anxiety disorders. Quantifying NPY in correlation to self-reported symptoms will be an important measure to ensure a relatively uniform diagnosis and help with disease prognosis of these disorders. The work presented is a novel, passive eccrine sweat based, electrochemical detection platform for quantification of NPY biomarker levels. The paper offers a comparison between non-porous and porous sensor platforms using various electrochemical detection techniques. This work uses a novel strategy towards designing an optimal nanobioelectronic interface to measure NPY. The portability aspect of this detection platform is discussed by the demonstration a novel, portable EmStat Pico based electronic platform. The detection limit of the sensor is 10 pg mL

Identifiers

PMID35520310
PMCPMC9054693
OpenAlexW3035887355

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.