Evidence map›Paper›PMID 25911556›Full record

ArticleMedical hypotheses2015

A central theory of biology.

John S Torday

Open access · greenAbstract read
In one paragraph

Article in Medical hypotheses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.3field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. The evolution of "Life": A Metadarwinian integrative approach.Communicative & integrative biology · 2017
    Article
  3. Article
  4. Article
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  10. Article
  11. On the Evolution of the Mammalian Brain.Frontiers in systems neuroscience · 2016
    Article
  12. Review
  13. Article
  14. Article
  15. Life and evolution as physics.Communicative & integrative biology
    Article
  16. 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 at 1 institution in 1 country.

John S TordayEvolutionary Medicine, University of California, Los Angeles, United States. Electronic address: jtorday@labiomed.org.
University of California, Los Angeles · US

Funding

HORMONAL REGULATION OF LUNG DEVELOPMENT;PTHrP BIOLOGYR01HL055268 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI TORDAY, JOHN STEVEN · 1997 to 2009
$3.3M
NHLBI NIH HHS R01 HL055268
6 · The paper itself

Abstract

The history of physiologic cellular-molecular interrelationships can be traced all the way back to the unicellular state by following the pathway formed by lipids ubiquitously accommodating calcium homeostasis, and its consequent adaptive effects on oxygen uptake by cells, tissues and organs. As a result, a cohesive, mechanistically integrated view of physiology can be formulated by recognizing the continuum comprising conception, development, physiologic homeostasis and death mediated by soluble growth factor signaling. Seeing such seemingly disparate processes as embryogenesis, chronic disease and dying as the gain and subsequent loss of cell-cell signaling provides a novel perspective for physiology and medicine. It is emblematic of the self-organizing, self-referential nature of life, starting from its origins. Such organizing principles obviate the pitfalls of teleologic evolution, conversely providing a way of resolving such seeming dichotomies as holism and reductionism, genotype and phenotype, emergence and contingence, proximate and ultimate causation in evolution, cells and organisms. The proposed approach is scale-free and predictive, offering a Central Theory of Biology.

Indexed as

BiologyModels, TheoreticalAnimalsHomeostasisHumans

Identifiers

PMID25911556
PMCPMC4447538
OpenAlexW2069532083

What OpenQuestion holds

Textmetadata
LicenceTDM
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.