Evidence map›Paper›PMID 32921005›Full record

ArticleJournal of biomedical optics2020

Clinical evaluation of fever-screening thermography: impact of consensus guidelines and facial measurement location.

Yangling Zhou, Pejman Ghassemi, Michelle Chen, David McBride, Jon P Casamento, T Joshua Pfefer, Quanzeng Wang

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. An Overview of Thermal Infrared Imaging-Based Screenings during Pandemic Emergencies.International journal of environmental research and public health · 2021
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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

7 authors.

Yangling ZhouFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Pejman GhassemiFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Michelle ChenFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
David McBrideUniversity of Maryland, University Health Center, College Park, Maryland, United States.
Jon P CasamentoFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
T Joshua PfeferFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.
Quanzeng WangFood and Drug Administration, Center for Devices and Radiological Health, Silver Spring, Maryland, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceInfrared thermographs (IRTs) have been used for fever screening during infectious disease epidemics, including severe acute respiratory syndrome, Ebola virus disease, and coronavirus disease 2019 (COVID-19). Although IRTs have significant potential for human body temperature measurement, the literature indicates inconsistent diagnostic performance, possibly due to wide variations in implemented methodology. A standardized method for IRT fever screening was recently published, but there is a lack of clinical data demonstrating its impact on IRT performance.

aimPerform a clinical study to assess the diagnostic effectiveness of standardized IRT-based fever screening and evaluate the effect of facial measurement location. APPROACH: We performed a clinical study of 596 subjects. Temperatures from 17 facial locations were extracted from thermal images and compared with oral thermometry. Statistical analyses included calculation of receiver operating characteristic (ROC) curves and area under the curve (AUC) values for detection of febrile subjects.

resultsPearson correlation coefficients for IRT-based and reference (oral) temperatures were found to vary strongly with measurement location. Approaches based on maximum temperatures in either inner canthi or full-face regions indicated stronger discrimination ability than maximum forehead temperature (AUC values of 0.95 to 0.97 versus 0.86 to 0.87, respectively) and other specific facial locations. These values are markedly better than the vast majority of results found in prior human studies of IRT-based fever screening.

conclusionOur findings provide clinical confirmation of the utility of consensus approaches for fever screening, including the use of inner canthi temperatures, while also indicating that full-face maximum temperatures may provide an effective alternate approach.

Indexed as

Body TemperatureAdolescentAdultAgedArea Under CurveBetacoronavirusCoronavirus InfectionsCOVID-19FaceFemaleFeverHumansInfrared RaysMaleMass ScreeningMiddle AgedCOVID-19fever screeninginfectious disease epidemicsinner canthimedical guidelinesPearson correlation coefficientsreceiver operating characteristic (ROC) curvethermography

Identifiers

PMID32921005
PMCPMC7486803

What OpenQuestion holds

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Registered trials

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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.