Evidence map›Paper›PMID 22408748›Full record

ArticleNorth American journal of medical sciences2012

Fashion or Science? How Can Orthodox Biomedicine Explain the Body's Function and Regulation?

Graham Wilfred Ewing, Igor Gennadyevich Grakov

Abstract read
In one paragraph

Article in North American journal of medical sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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, Cotgrave, Nottingham, England.
Igor Gennadyevich Grakov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cost of diagnosing and treating disease continues to rise inexorably. Almost every new test adds to the complexity and cost of healthcare. There is a need for better and less expensive screening, diagnostic and scanning techniques. Medical scanning technologies are based upon the body's response to an external stimulus e.g. heat, ultrasound, X-rays, magnetic resonance, etc. Biomarker and histopathology tests have inherent limitations because diseases are often polygenic and/or influence the function of multiple physiological systems. The results are compared with expected norms. This makes it difficult to diagnose the onset of disease. Such techniques measure only what the clinician wants or expects to see. A technique which can provide more information, regarding the influence of a medical condition upon the body's whole function, may be invaluable to the clinician. There is not yet a clear understanding of how the body regulates its function. A greater understanding of how the body responds to sensory input, in particular to light, has been incorporated into a mathematical model of the physiological systems developed by I.G. Grakov. This has been incorporated into a cognitive technology which improves the understanding of how the body regulates its function and has led to the development of a better method for the diagnosis and treatment of disease(s). This technique, virtual scanning, appears able to diagnose at different levels of physiological significance i.e. as systems, organs, cells (as morphologies) and molecular (as pathologies). It may be a major scientific development, conceivably more advanced than biomarker techniques, with the potential to provide far more information about a patient's health. It may have the potential to significantly reduce the complexity and cost of healthcare. This article reviews the available literature.

Indexed as

GenotypeLightMathematical model of the physiological systemsPhenotypePhysiological systemsSystems biologyVirtual scanning

Identifiers

PMID22408748
PMCPMC3296319

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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.