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Record W7054560850

Abusive routes of application in ozone therapy, a critical review

2018· article· en· W7054560850 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2018
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsOzone therapyOzoneClinical PracticeProtocol (science)Scientific evidenceMEDLINEMontreal Protocol
DOInot available

Abstract

fetched live from OpenAlex

Ozone used within the determined therapeutic windows is absolutely safe and more effective than golden standard medications in numerous pathologies. However, there are practitioners who for the interest of increasing cost effectiveness and increasing speed in treatments, pretend to cure chronic diseases applying alternative administration ways, using high ozone doses, which are neither standardized, nor supported by pre-clinical / clinical data, nor evaluated toxicologically. In this review an analysis of the bibliographical data concerning efficacy and safety of this methods was analyzed. The search included a review of scientific articles and experimental results papers in the MEDLINE and Zotero ISCO3 Ozone Database, between the years 1980-2018. Descriptors: ozone therapy, toxicology, side effects were used. The primary (original articles) sources of information were located. The most representative emerging therapies: direct intra venous application (DIV), Robins method of direct intravenous ozone therapy℠ (RMDIV ℠), Hyperbaric (HBO3) multi passes method, high dose ozone therapy (HDO), and Intraperitoneal Ozone (IPO3) are lack of clinical evidences and represent a serious risk for the human health. A rational clinical protocol fits to the good clinical practice and supported by and ethic committee is needed to prof it efficacy prior to be introduced in clinical practice. The emergent are not recommend for its clinical application (except patients enrolled in a clinical trial) until new scientific evidence of the benefit/risk ratio is provided

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.257
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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