Evidence map›Paper›PMID 40833214›Full record

ArticleThe Laryngoscope2026

Supervised Machine Learning Analysis of Food-Related Quality of Life Impact in Olfactory Dysfunction.

Karina Bayer, Bernhard Prem, Paul Suppinger, Christian A Mueller, David T Liu

Abstract read
In one paragraph

Article in The Laryngoscope, 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

5 authors.

Karina BayerDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-9752-2179
Bernhard PremDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-0193-2451
Paul SuppingerDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.
Christian A MuellerDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6172-5417
David T LiuDepartment of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-6948-737X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to assess the effect of olfactory dysfunction (OD) on quality of life (QoL) using supervised machine learning to identify potential key factors.

methodsThis retrospective, cross-sectional study included 260 (63.5% women) patients with a mean age of 43.05 (SD = 17.06) years who reported OD of various causes. Olfactory function was assessed using the TDI-Sniffin' Sticks test (mean TDI scores of 22.51 (SD = 8.48)) and OD-related QoL was measured using the Questionnaire of Olfactory Dysfunction Negative Statements (QOD-NS). A random forest model was used to determine the most significant factors for the prediction of overall OD-related QoL impairment.

resultsMost influential for the prediction of QoL were food-related QOD-NS statements with Statement 7 (i.e., "The changes in my sense of smell annoy me when I eat") being most influential (percentage increase in mean squared error = %IncMSE 16.02) and Statement 14 (i.e., "Because of the difficulties with smelling, I am scared of getting exposed to certain dangers (e.g., gas, rotten food)") being least influential (%IncMSE 0.09). We also found significantly better TDI scores (H (9) = 45.31, p < 0.001) in patients with COVID-19-associated OD compared to posttraumatic, congenital, and iatrogenic OD.

conclusionOD-related QoL seems to be predominantly affected by food-related difficulties rather than other factors, highlighting the importance of food for patients with OD and the important role of patients' subjective perception of the sense of smell when assessing QoL. LEVEL OF EVIDENCE: 4:

Indexed as

FoodOlfaction DisordersQuality of LifeSupervised Machine LearningAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesSmellSurveys and Questionnairesolfactory dysfunctionQOD‐NSquality of lifesense of smellTDI

Identifiers

PMID40833214
PMCPMC12770795

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LicenceCC BY-NC-ND
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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.