Evidence map›Paper›PMID 42122346›Full record

ArticleSensors (Basel, Switzerland)2026

Electronic Nose-Based Exhaled Volatile Organic Compound Pattern Recognition and Multivariate Signal Analysis for Discriminating Idiopathic Pulmonary Fibrosis from Autoimmune Usual Interstitial Pneumonia.

Marcin Di Marco, Alessio Marinelli, Vitaliano Nicola Quaranta, Andrea Portacci, Esterina Boniello, Luciana Labate, Agnese Caringella, Anna Violante, Giovanna Elisiana Carpagnano, Silvano Dragonieri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Marcin Di MarcoDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.
Alessio MarinelliDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.ORCID 0009-0008-7779-7931
Vitaliano Nicola QuarantaDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0001-9920-780X
Andrea PortacciDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0002-6127-2486
Esterina BonielloDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.
Luciana LabateDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.
Agnese CaringellaDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.
Anna ViolanteDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.
Giovanna Elisiana CarpagnanoDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0001-7931-4704
Silvano DragonieriDepartment of Traslational Biomedicine and Applied Neuroscience, Institute of Respiratory Disease, University "Aldo Moro", 70121 Bari, Italy.ORCID 0000-0003-1563-6864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic pulmonary fibrosis (IPF) and autoimmune usual interstitial pneumonia (aUIP) share overlapping clinico-radiological features, complicating differential diagnosis. Electronic nose (eNose) technology characterizes exhaled breath profiles ("breathprints") and may offer a non-invasive diagnostic approach in fibrotic interstitial lung diseases. To evaluate whether eNose breathprint analysis can discriminate between IPF and aUIP. In this cross-sectional study of 60 patients (34 IPF, 26 aUIP), breathprints were analyzed using principal component analysis (PCA, retaining eigenvalues > 1). Group differences were assessed via independent

Indexed as

Autoimmune DiseasesElectronic NoseIdiopathic Pulmonary FibrosisLung Diseases, InterstitialPattern Recognition, AutomatedVolatile Organic CompoundsAgedBreath TestsCross-Sectional StudiesDiagnosis, DifferentialDiscriminant AnalysisExhalationFemaleHumansMaleMiddle AgedVolatile Organic CompoundsbreathprintenoseILDsIPFVOCS

Identifiers

PMID42122346
PMCPMC13166017

What OpenQuestion holds

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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.