Evidence map›Paper›PMID 36469087›Full record

ArticleChemical senses2022

The Adaptive Olfactory Measure of Threshold (ArOMa-T): a rapid test of olfactory function.

Elisabeth M Weir, Mackenzie E Hannum, Danielle R Reed, Paule V Joseph, Steven D Munger, John E Hayes, Richard C Gerkin

Abstract read
In one paragraph

Article in Chemical senses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Life satisfaction among cancer survivors with and without smell and taste dysfunction: evidence from the National Health Interview Survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Home screening of taste and oral trigeminal function: a feasibility study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  9. Functional connectivity patterns in parosmia.Behavioral and brain functions : BBF · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Elisabeth M WeirSensory Evaluation Center, College of Agricultural Sciences, The Pennsylvania State University, University Park, PA 16802, United States.ORCID 0000-0002-3997-3817
Mackenzie E HannumMonell Chemical Senses Center, Philadelphia, PA 19104, United States.ORCID 0000-0002-2008-5799
Danielle R ReedMonell Chemical Senses Center, Philadelphia, PA 19104, United States.ORCID 0000-0002-4374-6107
Paule V JosephDivision of Intramural Clinical and Biological Research (DICBR), National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892, United States.ORCID 0000-0002-1198-9622
Steven D MungerDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL 32610, United States.ORCID 0000-0001-5624-0925
John E HayesSensory Evaluation Center, College of Agricultural Sciences, The Pennsylvania State University, University Park, PA 16802, United States.ORCID 0000-0001-9065-6326
Richard C GerkinSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, United States.ORCID 0000-0002-2940-3378

Funding

INTERDISCIPLINARY TRAINING IN THE CHEMICAL SENSEST32DC000014 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI PAMELA HELEN DALTON, Joel D Mainland · 1989 to 2026
$6.2M
Rapid olfactory tools for telemedicine-friendly COVID-19 screening and surveillanceU01DC019573 · NIDCD · UNIVERSITY OF FLORIDA · PI GERKIN, RICHARD C, HAYES, JOHN EDWARD · 2021 to 2021
$901k
NIDCD NIH HHS T32 DC000014NIDCD NIH HHS U01 DC019573NIH HHS 1U01DC019573
6 · The paper itself

Abstract

Many widely used psychophysical olfactory tests have limitations that can create barriers to adoption. For example, tests that measure the ability to identify odors may confound sensory performance with memory recall, verbal ability, and prior experience with the odor. Conversely, classic threshold-based tests avoid these issues, but are labor intensive. Additionally, many commercially available tests are slow and may require a trained administrator, making them impractical for use in situations where time is at a premium or self-administration is required. We tested the performance of the Adaptive Olfactory Measure of Threshold (ArOMa-T)-a novel odor detection threshold test that employs an adaptive Bayesian algorithm paired with a disposable odorant delivery card-in a non-clinical sample of individuals (n = 534) at the 2021 Twins Day Festival in Twinsburg, OH. Participants successfully completed the test in under 3 min with a false alarm rate of 7.5% and a test-retest reliability of 0.61. Odor detection thresholds differed by sex (~3.2-fold lower for females) and age (~8.7-fold lower for the youngest versus the oldest age group), consistent with prior studies. In an exploratory analysis, we failed to observe evidence of detection threshold differences between participants who reported a history of COVID-19 and matched controls who did not. We also found evidence for broad-sense heritability of odor detection thresholds. Together, this study suggests the ArOMa-T can determine odor detection thresholds. Additional validation studies are needed to confirm the value of ArOMa-T in clinical or field settings where rapid and portable assessment of olfactory function is needed.

Indexed as

COVID-19Olfaction DisordersBayes TheoremFemaleHumansOdorantsReproducibility of ResultsSensory ThresholdsSmelladaptive algorithmanosmiaCOVID-19detection thresholdsex differencessmell

Identifiers

PMID36469087
PMCPMC9798529

What OpenQuestion holds

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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.