Evidence map›Paper›PMID 15937552›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2005

The Systemic Theory of Living Systems and Relevance to CAM: The Theory (Part II).

José A Olalde Rangel

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Contributions of sasang constitutional medicine.Evidence-based complementary and alternative medicine : eCAM · 2009
    Article
  4. eCAM: Early Harvest.Evidence-based complementary and alternative medicine : eCAM · 2008
    Article
  5. Entropy-based model for interpreting life systems in traditional chinese medicine.Evidence-based complementary and alternative medicine : eCAM · 2008
    Article
  6. Adaptogenic potential of a polyherbal natural health product: report on a longitudinal clinical trial.Evidence-based complementary and alternative medicine : eCAM · 2007
    Article
  7. CAM and the phenomenology of pain.Evidence-based complementary and alternative medicine : eCAM · 2006
    Article
  8. The Systemic Theory of Living Systems. Part IV: Systemic Medicine--The Praxis.Evidence-based complementary and alternative medicine : eCAM · 2005
    Article
  9. The systemic theory of living systems and relevance to CAM: the theory (Part III).Evidence-based complementary and alternative medicine : eCAM · 2005
    Article
  10. 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

1 author.

José A Olalde Rangel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This theory stems from observing the universe's 'omniscient' nature, manifested in flows of energy and information of its life plethora. A notorious example is the living cell's intelligent nature, which guides its basic goal: to maximize survival. This last motivated me to address the living system's intelligence, which constitutes a vital and controversial topic, its relationship with 'incurable' disease in general, including cancer, and to propose golden rules for therapeutics, as well as a definition of ideal medicine. The scientific confirmation of these findings is embedded in discoveries in cybernetics, biological theory of information and modern thermodynamic concepts, concerning energy and information exchange, within a living system. This approach's practical application, denominated Systemic Medicine, has been substantiated by treatment and results obtained in >300 000 patients suffering from chronic degenerative diseases.

Identifiers

PMID15937552
PMCPMC1142205

What OpenQuestion holds

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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.