Evidence map›Paper›PMID 36691987›Full record

ArticleThe Annals of otology, rhinology, and laryngology2023

The Detection of Bacteria in the Maxillary Sinus Secretion of Patients With Acute Rhinosinusitis Using an Electronic Nose: A Pilot Study.

Jussi Virtanen, Antti Roine, Anton Kontunen, Markus Karjalainen, Jura Numminen, Niku Oksala, Markus Rautiainen, Ilkka Kivekäs

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in The Annals of otology, rhinology, and laryngology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07781215 (Stool Profile in Evaluating Colitis Treatment Response, Outcome and Severity), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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.

NCT07781215 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Stool Profile in Evaluating Colitis Treatment Response, Outcome and Severity

Typeobservational_patient_registrySponsorTampere University HospitalRan2026 to 2036Enrolled120ConditionsIBD (Inflammatory Bowel Disease)ArmsDifferential Mobile Spectrometry analysis of the stool
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Jussi VirtanenDepartment of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.ORCID 0000-0003-0853-216X
Antti RoineDepartment of Surgery, Tampere University Hospital, Hatanpää Hospital, Tampere, Finland.
Anton KontunenFaculty of Medicine and Health Technology, Tampere University, Tampere, Pirkanmaa, Finland.
Markus KarjalainenFaculty of Medicine and Health Technology, Tampere University, Tampere, Pirkanmaa, Finland.ORCID 0000-0003-4592-3661
Jura NumminenDepartment of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Niku OksalaFaculty of Medicine and Health Technology, Tampere University, Tampere, Pirkanmaa, Finland.
Markus RautiainenDepartment of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Ilkka KivekäsDepartment of Otorhinolaryngology, Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Tampere University · FITampere University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetecting bacteria as a causative pathogen of acute rhinosinusitis (ARS) is a challenging task. Electronic nose technology is a novel method for detecting volatile organic compounds (VOCs) that has also been studied in association with the detection of several diseases. The aim of this pilot study was to analyze maxillary sinus secretion with differential mobility spectrometry (DMS) and to determine whether the secretion demonstrates a different VOC profile when bacteria are present.

methodsAdult patients with ARS symptoms were examined. Maxillary sinus contents were aspirated for bacterial culture and DMS analysis.

resultsA total of 26 samples from 15 patients were obtained. After leave-one-out cross-validation,

conclusionsThe results of this pilot study suggest that bacterial positive and bacterial negative sinus secretion release different VOCs and that DMS has the potential to detect them. However, as the results are based on limited data, further conclusions cannot be made. DMS is a novel method in disease diagnostics and future studies should examine whether the method can detect bacterial ARS by analyzing exhaled air.

Indexed as

Maxillary SinusSinusitisAcute DiseaseAdultBacteriaElectronic NoseHumansPilot Projectselectronic noseion mobility spectrometrymaxillary sinusitis

Identifiers

PMID36691987
PMCPMC10498650
OpenAlexW4317830364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.