Evidence map›Paper›PMID 38660364›Full record

ArticleFrontiers in public health2024

Using SCENTinel® to predict SARS-CoV-2 infection: insights from a community sample during dominance of Delta and Omicron variants.

Stephanie R Hunter, Anne Zola, Emily Ho, Michael Kallen, Edith Adjei-Danquah, Chad Achenbach, G Randy Smith, Richard Gershon, Danielle R Reed, Benjamin Schalet and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2024. 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
1.1field-weighted citation impact, top 27% 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.

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, 3 citations in OpenAlex.

  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

12 authors at 2 institutions in 1 country.

Stephanie R HunterMonell Chemical Senses Center, Philadelphia, PA, United States.
Anne ZolaFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Emily HoFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Michael KallenFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Edith Adjei-DanquahMonell Chemical Senses Center, Philadelphia, PA, United States.
Chad AchenbachFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
G Randy SmithFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Richard GershonFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Danielle R ReedMonell Chemical Senses Center, Philadelphia, PA, United States.
Benjamin SchaletFeinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Valentina ParmaMonell Chemical Senses Center, Philadelphia, PA, United States.
Pamela H DaltonMonell Chemical Senses Center, Philadelphia, PA, United States.
Northwestern University · USMonell Chemical Senses Center · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
INTERDISCIPLINARY TRAINING IN THE CHEMICAL SENSEST32DC000014 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI PAMELA HELEN DALTON, Joel D Mainland · 1989 to 2026
$6.2M
SCENTinel: A Rapid Smell Test for COVID-19 SurveillanceU01DC019578 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI DALTON, PAMELA HELEN, PARMA, VALENTINA · 2021 to 2023
$1.2M
Modifying salt taste perception, preference, and intake in individuals with smell lossF32DC020658 · NIDCD · MONELL CHEMICAL SENSES CENTER · PI HUNTER, STEPHANIE · 2022 to 2024
$122k
NCATS NIH HHS UL1 TR001422NIDCD NIH HHS F32 DC020658NIDCD NIH HHS T32 DC000014NIDCD NIH HHS U01 DC019578
6 · The paper itself

Abstract

Introduction: Based on a large body of previous research suggesting that smell loss was a predictor of COVID-19, we investigated the ability of SCENTinel®, a newly validated rapid olfactory test that assesses odor detection, intensity, and identification, to predict SARS-CoV-2 infection in a community sample. Methods: Between April 5, 2021, and July 5, 2022, 1,979 individuals took one SCENTinel® test, completed at least one physician-ordered SARS-CoV-2 PCR test, and endorsed a list of self-reported symptoms. Results: Among the of SCENTinel® subtests, the self-rated odor intensity score, especially when dichotomized using a previously established threshold, was the strongest predictor of SARS-CoV-2 infection. SCENTinel® had high specificity and negative predictive value, indicating that those who passed SCENTinel® likely did not have a SARS-CoV-2 infection. Predictability of the SCENTinel® performance was stronger when the SARS-CoV-2 Delta variant was dominant rather than when the SARS-CoV-2 Omicron variant was dominant. Additionally, SCENTinel® predicted SARS-CoV-2 positivity better than using a self-reported symptom checklist alone. Discussion: These results indicate that SCENTinel® is a rapid assessment tool that can be used for population-level screening to monitor abrupt changes in olfactory function, and to evaluate spread of viral infections like SARS-CoV-2 that often have smell loss as a symptom.

Indexed as

COVID-19SARS-CoV-2AdultAgedFemaleHumansMaleMiddle AgedOdorantsOlfaction DisordersPredictive Value of TestsSensitivity and SpecificityYoung AdultanosmiaCOVIDhyposmiaolfactionpandemicpredictiontesting

Identifiers

PMID38660364
PMCPMC11041634
OpenAlexW4394683072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.