Evidence map›Paper›PMID 36296115›Full record

ArticleMicromachines2022

Electrochemical Quantification of H

Bernardo Patella, Serena Di Vincenzo, Claudio Zanca, Luciano Bollaci, Maria Ferraro, Maria Rita Giuffrè, Chiara Cipollina, Maria Giuseppina Bruno, Giuseppe Aiello, Michele Russo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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

12 authors at 3 institutions in 1 country.

Bernardo PatellaDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.
Serena Di VincenzoInstitute of Traslational Pharmacology (IFT), National Research Council of Italy (CNR), 90146 Palermo, Italy.ORCID 0000-0003-1695-9307
Claudio ZancaDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.
Luciano BollaciDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.
Maria FerraroInstitute of Traslational Pharmacology (IFT), National Research Council of Italy (CNR), 90146 Palermo, Italy.
Maria Rita GiuffrèRi.MED Foundation, 90146 Palermo, Italy.
Chiara CipollinaInstitute of Traslational Pharmacology (IFT), National Research Council of Italy (CNR), 90146 Palermo, Italy.
Maria Giuseppina BrunoDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0003-2951-0306
Giuseppe AielloDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-6362-8952
Michele RussoDipietro Group, 96010 Melilli, Italy.
Rosalinda InguantaDepartment of Engineering, University of Palermo, 90128 Palermo, Italy.ORCID 0000-0001-8166-7998
Elisabetta PaceInstitute of Traslational Pharmacology (IFT), National Research Council of Italy (CNR), 90146 Palermo, Italy.ORCID 0000-0003-1141-9010
University of Palermo · ITIstituto di Farmacologia Traslazionale · ITRi.MED · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of oxidative stress is a challenging task that can help in monitoring chronic inflammatory respiratory airway diseases. Different studies can be found in the literature regarding the development of electrochemical sensors for H

Indexed as

bronchial epithelial cellcell culture mediacigarette smoke extractelectrochemical sensorgoldgraphene oxideH2O2lung adenocarcinoma celloxidative stressresveratrol

Identifiers

PMID36296115
PMCPMC9611932
OpenAlexW4306849492

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.