Evidence map›Paper›PMID 36958833›Full record

ArticleClinical medicine (London, England)2023

Clinical accuracy of infrared temperature measurement devices: a comparison against non-invasive core-body temperature.

Thomas Holder, Frances Sophie Woodley Hooper, David Yates, Zion Tse, Samadhan Patil, Ahmed Moussa, Lucy Batten, Vignesh Radhakrishnan, Mark Allison, Catherine Hewitt and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Clinical medicine (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Learning from the past rather than living in it.Clinical medicine (London, England) · 2023
    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

13 authors at 2 institutions in 1 country.

Thomas HolderYork and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.
Frances Sophie Woodley HooperUniversity of York, York, UK.
David YatesYork and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.
Zion TseMedical Robotics Lab, University of York, York, UK zion.tse@york.ac.uk.
Samadhan PatilUniversity of York, York, UK.
Ahmed MoussaYork and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.
Lucy BattenYork and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.
Vignesh RadhakrishnanUniversity of York, York, UK.
Mark AllisonUniversity of York, York, UK.
Catherine HewittUniversity of York, York, UK.
Ada KedingUniversity of York, York, UK.
Greg ForshawYork Teaching Hospital NHS Foundation Trust, York, UK.
Vijay JayagopalYork and Scarborough Teaching Hospital NHS Foundation Trust, York, UK.
University of York · GBYork Teaching Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the coronavirus 2019 (COVID-19) pandemic, the implementation of non-contact infrared thermometry (NCIT) became an increasingly popular method of screening body temperature. However, data on the accuracy of these devices and the standardisation of their use are limited. In the current study, the body temperature of non-febrile volunteers was measured using infrared (IR) thermography, IR tympanic thermometry and IR gun thermometry at different facial feature locations and distances and compared with SpotOn core-body temperature. Poor agreement was found between all IR devices and SpotOn measurements (intra-class correlation coefficient <0.8). Bland-Alman analysis showed the narrowest limits of agreement with the IR gun at 3 cm from the forehead (bias = 0.19°C, limits of agreement (LOA): -0.58°C to 0.97°C) and widest with the IR gun at the nose (bias = 1.40°C, LOA: -1.15°C to 3.94°C). Thus, our findings challenge the established use of IR thermometry devices within hospital settings without adequate standard operating procedures to reduce operator error.

Indexed as

COVID-19ThermometryBody TemperatureHumansTemperatureVolunteersCOVID-19infrared thermometrymedical devicestemperature

Identifiers

PMID36958833
PMCPMC11046542
OpenAlexW4360609662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.