Evidence map›Paper›PMID 31032148›Full record

ArticleCureus2019

Use of Digital Infrared Thermal Imaging in the Electromyography Clinic: A Case Series.

Sameer S Ali, Arjumond Y Khan, Shon G Michael, Pavan Tankha, Hajime Tokuno

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 2 countries.

Sameer S AliNeurology, Veterans Affairs Hospital - Connecticut Healthcare System, West Haven, USA.
Arjumond Y KhanNeurology, Veterans Affairs Hospital - Connecticut Healthcare System, West Haven, USA.
Shon G MichaelNeurology, Riverhills Neuroscience, Norwood, USA.
Pavan TankhaPain Management, Veterans Affairs Hospital - Connecticut Healthcare System, West Haven, USA.
Hajime TokunoNeurology, Veterans Affairs Hospital - Connecticut Healthcare System, West Haven, USA.
Neuroscience Institute · ITVA Connecticut Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFoot drop often results from denervation of the dorsiflexor muscles in the leg. Neurological evaluation begins with lower extremity motor testing followed by electromyography needle electrode examination (EMG-NEE). We explored digital infrared thermography (IRT) as a complementary tool in diagnosing peripheral nerve disorders.

methodsUsing a digital IRT camera, we recorded differences in skin surface temperatures from affected and unaffected limbs in three patients with unilateral foot drop. Denervation in the affected limb was confirmed with EMG-NEE.

resultsIRT imaging revealed lower relative skin surface temperatures in regions of the leg corresponding to denervated dorsiflexor muscles for all three consecutive patients who presented to the EMG Clinic with foot drop.  Conclusions: Denervation appears to cause a decrease in thermal energy output from affected muscle groups. Alongside the EMG and magnetic resonance imaging (MRI), IRT may have an important role in assessing the severity and prognosis of a nerve injury. This observation may have implications for chronic pain syndromes, such as complex regional pain syndrome (CRPS), in which thermal change is a diagnostic criterion.

Indexed as

complex regional pain syndrome (crps)denervationdorsiflexorelectromyographyemgfoot dropinfrared thermographyirtmuscle atrophyperipheral nerve

Identifiers

PMID31032148
PMCPMC6472870
OpenAlexW2911243776

What OpenQuestion holds

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LicenceCC BY
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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.