Evidence map›Paper›PMID 32933070›Full record

ArticleBiosensors2020

Screen-Printed Sensor for Low-Cost Chloride Analysis in Sweat for Rapid Diagnosis and Monitoring of Cystic Fibrosis.

Alicia Hauke, Susanne Oertel, Leona Knoke, Vanessa Fein, Christoph Maier, Folke Brinkmann, Michael P M Jank

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  7. Monitor for lactate in perspiration.The journal of physiological sciences : JPS · 2021
    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

7 authors at 2 institutions in 1 country.

Alicia HaukeFraunhofer Institute for Integrated Systems and Device Technology, 91058 Erlangen, Germany.ORCID 0000-0002-7967-5996
Susanne OertelFraunhofer Institute for Integrated Systems and Device Technology, 91058 Erlangen, Germany.
Leona KnokeDepartment of Paediatric Pneumology, University Children's Hospital, Ruhr-University Bochum, 44791 Bochum, Germany.
Vanessa FeinDepartment of Paediatric Pneumology, University Children's Hospital, Ruhr-University Bochum, 44791 Bochum, Germany.
Christoph MaierDepartment of Paediatric Pneumology, University Children's Hospital, Ruhr-University Bochum, 44791 Bochum, Germany.
Folke BrinkmannDepartment of Paediatric Pneumology, University Children's Hospital, Ruhr-University Bochum, 44791 Bochum, Germany.
Michael P M JankFraunhofer Institute for Integrated Systems and Device Technology, 91058 Erlangen, Germany.
University Hospitals of the Ruhr-University of Bochum · DEFraunhofer Institute for Integrated Systems and Device Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of sweat chloride levels in cystic fibrosis (CF) patients is essential not only for diagnosis but also for the monitoring of therapeutic responses to new drugs, such as cystic fibrosis transmembrane conductance regulator (CFTR) modulators and potentiators. Using iontophoresis as the gold standard can cause complications like burns, is uncomfortable, and requires repetitive hospital visits, which can be particularly problematic during a pandemic, where distancing and hygiene requirements are increased; therefore, it is necessary to develop fast and simple measures for the diagnosis and monitoring of CF. A screen-printed, low-cost chloride sensor was developed to remotely monitor CF patients. Using potentiometric measurements, the performance of the sensor was tested. It showed good sensitivity and a detection limit of 2.7 × 10

Indexed as

Biosensing TechniquesChloridesCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorHumansSweatCFTR protein, humanChloridesCystic Fibrosis Transmembrane Conductance Regulatorchloridecystic fibrosision-selective electrodescreen-printed sensorsweat analysis

Identifiers

PMID32933070
PMCPMC7558764
OpenAlexW3086913333

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.