Evidence map›Paper›PMID 38473033›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Use of Sensor Array Analysis to Detect Ovarian Cancer through Breath, Urine, and Blood: A Case-Control Study.

Roberto Angioli, Marco Santonico, Giorgio Pennazza, Roberto Montera, Daniela Luvero, Alessandra Gatti, Alessandro Zompanti, Panaiotis Finamore, Raffaele Antonelli Incalzi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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
–field-weighted citation impact
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.

  1. Review
  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

9 authors.

Roberto AngioliUnit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.
Marco SantonicoUnit of Electronics for Sensor Systems, Department of Science and Technology for Sustainable Development and One Health, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy.
Giorgio PennazzaUnit of Electronics for Sensor Systems, Department of Engineering, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy.ORCID 0000-0003-4843-9445
Roberto MonteraUnit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.
Daniela LuveroUnit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.
Alessandra GattiUnit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.
Alessandro ZompantiUnit of Electronics for Sensor Systems, Department of Engineering, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy.ORCID 0000-0001-5986-4426
Panaiotis FinamoreUnit of Geriatrics, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.
Raffaele Antonelli IncalziUnit of Geriatrics, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is the eighth most common cancer in women. Since screening programs do not exist, it is often diagnosed in advanced stages. Today, the detection of OC is based on clinical examination, transvaginal ultrasound (US), and serum biomarker (Carbohydrate Antigen 125 (CA 125) and Human Epididymis Protein 4 (HE4)) dosage, with a sensitivity of 88% and 95%, respectively, and a specificity of 84% for US and 76% for biomarkers. These methods are clearly not enough, and OC in its early stages is often missed. Many scientists have recently focused their attention on volatile organic compounds (VOCs). These are gaseous molecules, found in the breath, that could provide interesting information on several diseases, including solid tumors. To detect VOCs, an electronic nose was invented by a group of researchers. A similar device, the e-tongue, was later created to detect specific molecules in liquids. For the first time in the literature, we investigated the potential use of the electronic nose and the electronic tongue to detect ovarian cancer not just from breath but also from urine, blood, and plasma samples.

Indexed as

carbohydrate antigen 125human epididymis protein 4ovarian cancersensor array

Identifiers

PMID38473033
PMCPMC10930654

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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.