Evidence map›Paper›PMID 37332302›Full record

ArticleTemperature (Austin, Tex.)2023

Application of thermography to estimate respiratory rate in the emergency room: The journal

Alexandre Aldred, João A S Ribeiro, Pedro M S Bezerra, Ana C M Antunes, Alessandra C Goulart, Ivan C Desuó, Guilherme Gomes

Open access · greenAbstract read
In one paragraph

Article in Temperature (Austin, Tex.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
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 at 2 institutions in 1 country.

Alexandre AldredDepartment of Science and R&D, Predikta Soluções em Pesquisa, São Paulo, Brasil.
João A S RibeiroDepartment of Science and R&D, Predikta Soluções em Pesquisa, São Paulo, Brasil.
Pedro M S BezerraDepartment of Science and R&D, Predikta Soluções em Pesquisa, São Paulo, Brasil.
Ana C M AntunesDepartment of General Surgery, Hospital Universitário, Universidade de São Paulo, São Paulo, Brasil.
Alessandra C GoulartCenter for Clinical and Epidemiological Research, Hospital Universitário, Universidade de São Paulo, São Paulo, Brasil.
Ivan C DesuóDepartment of Science and R&D, Predikta Soluções em Pesquisa, São Paulo, Brasil.
Guilherme GomesDepartment of Science and R&D, Predikta Soluções em Pesquisa, São Paulo, Brasil.ORCID https://orcid.org/0000-0001-5875-2641
Hospital Universitário da Universidade de São Paulo · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the vital signs collected during hospital triage, respiratory rate is an important parameter associated with physiological, pathophysiological, and emotional changes. In recent years, the importance of its verification in emergency centers due to the severe acute respiratory syndrome 2 (SARS2) pandemic has become very clear, although it is still one of the least evaluated and collected vital signs. In this context, infrared imaging has been shown to be a reliable estimator of respiratory rate, with the advantage of not requiring physical contact with patients. The objective of this study was to evaluate the potential of analyzing a sequence of thermal images as an estimator of respiratory rate in the clinical routine of an emergency room. We used an infrared thermal camera (T540, Flir Systems) to obtain the respiratory rate data of 136 patients, based on nostrils' temperature fluctuation, during the peak of the COVID-19 pandemic in Brazil and compared it with the chest incursion count method, commonly employed in the emergency screening procedures. We found a good agreement between both methods, with Bland-Altman limits of agreement ranging from -4 to 4 min

Indexed as

Bland-Altmanemergency roompandemicsrespiratory rateSARS2Thermographytriage

Identifiers

PMID37332302
PMCPMC10274541
OpenAlexW4284895055

What OpenQuestion holds

Textmetadata
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.