Evidence map›Paper›PMID 31443499›Full record

ArticleSensors (Basel, Switzerland)2019

An E-Nose for the Monitoring of Severe Liver Impairment: A Preliminary Study.

Danila Germanese, Sara Colantonio, Mario D'Acunto, Veronica Romagnoli, Antonio Salvati, Maurizia Brunetto

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

Danila GermaneseInstitute of Information Science and Technology (ISTI), National Research Council (CNR), 56127 Pisa, Italy. danila.germanese@isti.cnr.it.ORCID 0000-0002-7814-5280
Sara ColantonioInstitute of Information Science and Technology (ISTI), National Research Council (CNR), 56127 Pisa, Italy.
Mario D'AcuntoInstitute of Biophysics (IBF), National Research Council (CNR), 56127 Pisa, Italy.ORCID 0000-0003-4233-1943
Veronica RomagnoliGastroenterology and Hepatology Unit, University Hospital of Pisa, 56127 Pisa, Italy.
Antonio SalvatiGastroenterology and Hepatology Unit, University Hospital of Pisa, 56127 Pisa, Italy.
Maurizia BrunettoGastroenterology and Hepatology Unit, University Hospital of Pisa, 56127 Pisa, Italy.
Azienda Ospedaliera Universitaria Pisana · ITIstituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biologically inspired to mammalian olfactory system, electronic noses became popular during the last three decades. In literature, as well as in daily practice, a wide range of applications are reported. Nevertheless, the most pioneering one has been (and still is) the assessment of the human breath composition. In this study, we used a prototype of electronic nose, called Wize Sniffer (WS) and based it on an array of semiconductor gas sensor, to detect ammonia in the breath of patients suffering from severe liver impairment. In the setting of severely impaired liver, toxic substances, such as ammonia, accumulate in the systemic circulation and in the brain. This may result in Hepatic Encephalopathy (HE), a spectrum of neuro-psychiatric abnormalities which include changes in cognitive functions, consciousness, and behaviour. HE can be detected only by specific but time-consuming and burdensome examinations, such as blood ammonia levels assessment and neuro-psychological tests. In the presented proof-of-concept study, we aimed at investigating the possibility of discriminating the severity degree of liver impairment on the basis of the detected breath ammonia, in view of the detection of HE at its early stage.

Indexed as

Breath TestsCarbon MonoxideElectronic NoseGasesHepatic EncephalopathyHumansHydrogenLiverMonitoring, PhysiologicCarbon MonoxideGasesHydrogenbreath analysisdata processingelectronic nosesgas sensorshepatic encephalopathyliver impairment

Identifiers

PMID31443499
PMCPMC6749560
OpenAlexW2969415517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.