Evidence map›Paper›PMID 34442507›Full record

ArticleMicromachines2021

SMILE Platform: An Innovative Microfluidic Approach for On-Chip Sample Manipulation and Analysis in Oral Cancer Diagnosis.

Sofia Zoupanou, Annalisa Volpe, Elisabetta Primiceri, Caterina Gaudiuso, Antonio Ancona, Francesco Ferrara, Maria Serena Chiriacò

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 28 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

7 authors at 3 institutions in 1 country.

Sofia ZoupanouDepartment of Mathematics & Physics E. de Giorgi, University of Salento, Via Arnesano, 73100 Lecce, Italy.
Annalisa VolpePhysics Department, University of Bari "Aldo Moro", Via Orabona 4, 70126 Bari, Italy.ORCID 0000-0001-6959-5418
Elisabetta PrimiceriCNR NANOTEC-Institute of Nanotechnology, Via per Monteroni, 73100 Lecce, Italy.
Caterina GaudiusoPhysics Department, University of Bari "Aldo Moro", Via Orabona 4, 70126 Bari, Italy.
Antonio AnconaPhysics Department, University of Bari "Aldo Moro", Via Orabona 4, 70126 Bari, Italy.ORCID 0000-0002-6247-5429
Francesco FerraraCNR NANOTEC-Institute of Nanotechnology, Via per Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-7290-9542
Maria Serena ChiriacòCNR NANOTEC-Institute of Nanotechnology, Via per Monteroni, 73100 Lecce, Italy.ORCID 0000-0002-7195-267X
Center for Biomolecular Nanotechnologies · ITIstituto di Nanotecnologia · ITUniversity of Salento · IT

Funding

European Commission 777222Ministero dell'Istruzione, dell'Università e della Ricerca 20174PLLYN
6 · The paper itself

Abstract

Oral cancer belongs to the group of head and neck cancers, and, despite its large diffusion, it suffers from low consideration in terms of prevention and early diagnosis. The main objective of the SMILE platform is the development of a low-cost device for oral cancer early screening with features of high sensitivity, specificity, and ease of use, with the aim of reaching a large audience of possible users and realizing real prevention of the disease. To achieve this goal, we realized two microfluidic devices exploiting low-cost materials and processes. They can be used in combination or alone to obtain on-chip sample preparation and/or detection of circulating tumor cells, selected as biomarkers of oral cancer. The realized devices are completely transparent with plug-and-play features, obtained thanks to a highly customized architecture which enables users to easily use them, with potential for a common use among physicians or dentists with minimal training.

Indexed as

3D microfluidicsbiodetectioncirculating tumor cellsmicrofabricationmicromixersoral cancerplastic microfluidics

Identifiers

PMID34442507
PMCPMC8401059
OpenAlexW3186082938

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.