Evidence map›Paper›PMID 22666689›Full record

ArticleNorth American journal of medical sciences2009

Computer diagnosis in cardiology.

Graham Wilfred Ewing, Elena Nikolayevna Ewing

Abstract read
In one paragraph

Article in North American journal of medical sciences, 2009. 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
–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

3 citing papers in PubMed.

  1. The multi-systemic nature of diabetes mellitus: Genotype or phenotype?North American journal of medical sciences · 2010
    Article
  2. Article
  3. Computer diagnosis in cardiology: oxidative stress hypothesis.North American journal of medical sciences · 2009
    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

2 authors.

Graham Wilfred EwingMontague Healthcare, Mulberry House, Vine Farm Close, Cotgrave, Nottingham, United Kingdom.
Elena Nikolayevna Ewing

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reports upon the emergence of a novel cognitive, computer-based technology which may lead to significantly improved methods of cardiological diagnosis and a rapid and inexpensive method of cardiological screening.The technology 'Virtual Scanning' illustrates how, in blood, the reaction of proteins and their reactive substrates releases light; that the colour and intensity of this bioluminescence is unique to each reaction and it's rate; and that the development of pathologies influence cognition and visual perception. This illustrates that the function of the autonomic nervous system is linked to that of the physiological systems and that the rate of biochemical reactions, and the progression of disease, can be measured by a cognitive test procedure and used as an indication of the disease(s) affecting heart function.The article discusses the limitations of the conventional biomarker technique, and the potential value of non-invasive cognitive techniques, such as Virtual Scanning, to the medical practitioner. Finally, it discusses how the ability of Virtual Scanning to diagnose disease from its presymptomatic origins may lead to improved diagnostic accuracy and significantly reduced costs.

Indexed as

autonomic nervous systemComputer diagnosismathematical modelingphysiological systemsvirtual scanningvisual perception

Identifiers

PMID22666689
PMCPMC3364659

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.