Evidence map›Paper›PMID 29796304›Full record

ArticleFuture science OA2018

Fully electronic urine dipstick probe for combinatorial detection of inflammatory biomarkers.

Vikramshankar Kamakoti, David Kinnamon, Kang Hyeok Choi, Badrinath Jagannath, Shalini Prasad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Current and emerging trends in point-of-care urinalysis tests.Expert review of molecular diagnostics · 2020
    Review
  5. Article
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.

Vikramshankar KamakotiDepartment of Bioengineering, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
David KinnamonDepartment of Bioengineering, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Kang Hyeok ChoiDepartment of Bioengineering, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Badrinath JagannathDepartment of Bioengineering, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Shalini PrasadDepartment of Bioengineering, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
The University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAn electrochemical urine dipstick probe biosensor has been demonstrated using molybdenum electrodes on nanoporous polyamide substrate for the quantitative detection of two inflammatory protein biomarkers, CRP and IL-6. MATERIALS &

methodsThe electrode interface was characterized using ζ-potential and Fourier transform infrared spectroscopy. Detection of biomarkers was demonstrated by measuring impedance changes associated with the dose concentrations of the two biomarkers. A proof of feasibility of point-of-care implementation of the biosensor was demonstrated using a portable electronics platform. RESULTS &

conclusionLimit of detection of 1 pg/ml was achieved for CRP and IL-6 in human urine and synthetic urine buffers. The developed portable hardware demonstrated close correlation with benchtop equipment results.

Indexed as

EISinflammatory protein biomarkersmolybdenum affinity biosensorportable electronic interfaceurine dipstick probe

Identifiers

PMID29796304
PMCPMC5961415
OpenAlexW2794490237

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.