Evidence map›Paper›PMID 38002697›Full record

ArticleJournal of clinical medicine2023

Can Dual Infrared-Visual Thermography Provide a More Reliable Diagnosis of Perforator Veins and Reflux Severity?

Marcelo Pastor Almada Dávalos, Marcos Leal Brioschi, Samir Ezequiel da Rosa, Gabriel Carneiro Brioschi, Eduardo Borba Neves

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

5 authors at 3 institutions in 2 countries.

Marcelo Pastor Almada DávalosArgentine Medical Association, National University of La Plata (FMUNLP), La Plata B1900, Argentina.
Marcos Leal BrioschiNeurology Department, Hospital das Clínicas, São Paulo University, Sao Paulo 05508-220, Brazil.ORCID 0000-0003-4822-8314
Samir Ezequiel da RosaBrazilian Army Research Institute of Physical Fitness (IPCFEx), Rio de Janeiro 22291-090, Brazil.ORCID 0000-0003-3355-0626
Gabriel Carneiro BrioschiGreenways Academy School, St. Louis, MI 63141, USA.
Eduardo Borba NevesGraduate Program in Biomedical Engineering, Federal Technological University of Paraná (UTFPR), Curitiba 80230-901, Brazil.ORCID 0000-0003-4507-6562
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Tecnológica Federal do Paraná · BRUniversidad Nacional de La Plata · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate identification of perforator veins (PV) in asymptomatic veins that do not meet the criteria established by venous Doppler (VD) is a complex challenge, considered the gold standard in diagnosis, and is operator-dependent. This study explored the potential of dual infrared-visual thermography (IRVT) to identify PV in 99 patients aged 29 to 80 years. IRVT was conducted using a high-definition hyperspectral visual-infrared sensor. The temperature difference (ΔT) between maximum temperature (Tmax) and minimum temperature (Tmin) within the region of interest (ROI) served as an indicator for assessing vascular dysfunction severity. Comparative analysis was performed with VD results obtained using a Doppler ultrasound unit equipped with a 7.5 MHz linear transducer. Significant statistical differences (

Indexed as

perforators veinsreflux severitythermographyvascular dysfunctionvenous doppler

Identifiers

PMID38002697
PMCPMC10672064
OpenAlexW4388653567

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.