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Record W7096650596

DMSO: Many Uses, Much Controversy

2013· article· en· W7096650596 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsnot available
Fundersnot available
KeywordsOrgan donationFood and drug administrationAlchemyOrgan systemTransplantationOrgan transplantationVariety (cybernetics)
DOInot available

Abstract

fetched live from OpenAlex

Dimethyl sulfoxide (DMSO), a by-product of the wood industry, has been in use as a commercial solvent since 1953. It is also one of the most studied but least understood pharmaceutical agents of our time--at least in the United States. According to Stanley Jacob, MD, a former head of the organ transplant program at Oregon Health Sciences University in Portland, more than 40,000 articles on its chemistry have appeared in scientific journals, which, in conjunction with thousands of laboratory studies, provide strong evidence of a wide variety of properties. (See Major Properties Attributed to DMSO) Worldwide, some 11,000 articles have been written on its medical and clinical implications, and in 125 countries throughout the world, including Canada, Great Britain, Germany, and Japan, doctors prescribe it for a variety of ailments, including pain, inflammation, scleroderma, interstitial cystitis, and arthritis elevated intercranial pressure. Yet in the United States, DMSO has Food and Drug Administration (FDA) approval only for use as a preservative of organs for transplant and for interstitial cystitis, a bladder disease. It has fallen out of the limelight and out of the mainstream of medical discourse, leading some to believe that it was discredited. The truth is more complicated. DMSO: A History of Controversy The history of DMSO as a pharmaceutical began in 1961, when Dr. Jacob was head of the organ transplant program at Oregon Health Sciences University. It all started when he first picked up a bottle of the colorless liquid. While investigating its potential as a preservative for organs, he quickly discovered that it penetrated the skin quickly and deeply without damaging it. He was intrigued. Thus began his lifelong investigation of the drug. The news media soon got word of his discovery, and it was not long before reporters, the pharmaceutical industry, and patients with a variety of medical complaints jumped on the news. Because it was available for industrial uses, patients could dose themselves. This early public interest interfered with the ability of Dr. Jacob--or, later, the FDA--to see that experimentation and use were safe and controlled and may have

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.013
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0070.025
Scholarly communication0.0120.022
Open science0.0020.006
Research integrity0.0130.021
Insufficient payload (model declined to judge)0.0130.008

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 head0.007
GPT teacher head0.239
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2013
Admission routes1
Has abstractyes

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