Evidence map›Paper›PMID 33083850›Full record

ArticleMikrochimica acta2020

Determination of p53 biomarker using an electrochemical immunoassay based on layer-by-layer films with NiFe

Gisela Ibáñez-Redín, Nirav Joshi, Gustavo Freitas do Nascimento, Deivy Wilson, Matias E Melendez, André L Carvalho, Rui Manuel Reis, Débora Gonçalves, Osvaldo N Oliveira

Open access · greenAbstract read
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In one paragraph

Article in Mikrochimica acta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 30 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Gisela Ibáñez-RedínSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil.
Nirav JoshiSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil. nirav.joshi1986@gmail.com.
Gustavo Freitas do NascimentoSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil.
Deivy WilsonSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil.
Matias E MelendezPelé Little Prince Research Institute, Little Prince Complex, PR, 80250-060, Curitiba, Brazil.
André L CarvalhoMolecular Oncology Research Center, Barretos Cancer Hospital, SP, 14784-400, Barretos, Brazil.
Rui Manuel ReisMolecular Oncology Research Center, Barretos Cancer Hospital, SP, 14784-400, Barretos, Brazil.
Débora GonçalvesSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil.
Osvaldo N OliveiraSão Carlos Institute of Physics, University of São Paulo, SP, 13560-970, São Carlos, Brazil. chu@ifsc.usp.br.
Universidade de São Paulo · BRHospital de Câncer de Barretos · BRUniversidade Federal de São Carlos · BRUniversity of Minho · PT

Funding

CAPES 001CNPq 001CNPq PQ-2/ 311757/2019-7FAPESP 2013/14262-7 and 2014/23546-1
6 · The paper itself

Abstract

A disposable electrochemical immunosensors is presented suitable to detect cancer biomarker p53 using screen-printed carbon electrodes modified with a layer-by-layer (LbL) matrix of carboxylated NiFe

Indexed as

Antibodies, ImmobilizedBiomarkers, TumorBiosensing TechniquesElectrochemical TechniquesFerric CompoundsImmunoassayMetal NanoparticlesNickelTumor Suppressor Protein p53Antibodies, ImmobilizedBiomarkers, TumorFerric CompoundsNickelnickel ferriteTP53 protein, humanTumor Suppressor Protein p53Cancer biomarkersElectrochemical immunosensorsNiFe2O4 nanoparticlesp53Polyethyleneimine

Identifiers

PMID33083850
OpenAlexW3094185513

What OpenQuestion holds

Textmetadata
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.