ArticleChemical senses2026
Evaluating methods for quantitative olfactory assessment: a comparative longitudinal analysis of Sniffin' Sticks and alternative tools.
Article in Chemical senses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Anosmia and hyposmia, referring to total or partial smell loss, respectively, affect 3% to 20% of people. The Sniffin' Sticks Extended Test, assessing odor threshold, discrimination, and identification (TDI), is a well-validated tool widely used in European and US clinics. However, its time and resource demands limit routine use. During the COVID-19 pandemic, several rapid smell tests were developed, yet their classification performance and agreement with established psychophysical measures remain underexplored. We compared 4 alternatives-the Visual Analog Scale for self-rated smell ability (VAS), the smell section of the Appetite, Hunger, and Sensory Perception questionnaire (AHSP), the Global Consortium for Chemosensory Research Smell Check (GCCR-Check), and the SCENTinel rapid smell test-against TDI scores in a longitudinal cohort of 96 adults (77 female patients; age 46.6 ± 10.5 yr) with post-COVID-19 smell dysfunction, assessed up to 5 times over 12 mo. Analyses used Generalized Estimating Equations for repeated measures, Bland-Altman plots for agreement and bias, and area under the receiver operating characteristic (AUC) curves for classification. No tool dominated across all TDI-defined categories. SCENTinel showed robust performance for anosmia (0.81) with the most balanced sensitivity-specificity trade-off among rapid tests, while GCCR-Check achieved the highest AUC for anosmia (0.88) and VAS best identified normosmia (0.73). Agreement analyses revealed systematic biases in self-report and rapid psychophysical tests. Rapid tools reliably detect anosmia, while classification performance decreases near diagnostic boundaries, particularly for normosmia. Combining brief self-report and short psychophysical measures may improve accuracy while maintaining feasibility for clinical and large-scale screening.
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