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Record W2058043205 · doi:10.1016/j.juro.2010.02.2323

1126 BOTULINUM TOXIN: BIOLOGICAL WEAPON, BEAUTY AND THE BLADDER

2010· article· en· W2058043205 on OpenAlexaboutno aff
Zahoor Fazili, Howard Marsh, Shikohe Masood

Bibliographic record

VenueThe Journal of Urology · 2010
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineClostridium botulinumBotulinum toxinBotulismBiological warfareSurgeryToxinToxicologyMicrobiologyBiology

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyHistory of Urology1 Apr 20101126 BOTULINUM TOXIN: BIOLOGICAL WEAPON, BEAUTY AND THE BLADDER Zahoor Fazili, Howard Marsh, and Shikohe Masood Zahoor FaziliZahoor Fazili More articles by this author , Howard MarshHoward Marsh More articles by this author , and Shikohe MasoodShikohe Masood More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.02.2323AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Botulinum toxin (BT) is a potent neurotoxin with therapeutic applications in ophthalmology, neurology, dermatology and urology METHODS A systematic search of online and published material was conducted including original articles and papers RESULTS In 1822 the German physician Justinus Kerner published the first description of botulism or sausage poisoning. Although he thought there was no cure for the condition he did note that small amounts of sausage poison might be useful for the neurological condition, St Vitus' dance. In describing its potential therapeutic use, he was unaware that he had laid the foundation for the future treatment of a number of conditions. It was then Emile P.van Ermengem from Belgium who in 1895, first isolated Clostridium Botulinum from both food and post-mortem tissues of the victims of food poisoning. In 1916 the British set up the chemical warfare complex at Porton Down in Wiltshire, and amongst other toxins, investigated BT. A single gram of crystalline BT evenly dispersed and inhaled, would kill 1 million people. In 1937, the Japanese formed a biological warfare group, unit 731, and poisoned prisoners in occupied Manchuria with BT. In the US, in 1946 research into BT took place at Fort Detrick. Here Dr Edward Schantz developed different types of BT in their pure crystalline form but became convinced that BT would never become an effective bioweapon and instead explored other uses. In 1972, the US and other countries signed a Biological Weapons treaty banning research into biological warfare. During the late eighties however, both the Soviet Union and Iraq produced BT for bio-warfare. The first therapeutic use of BT was in strabismus by an American, Dr Alan Scott with excellent results. In 1987 a Canadian ophthalmologist Jean Carruthers noticed that the frown lines disappeared in patients who were treated with BT for blepharospasm. She shared this idea with her husband Alastair, a dermatologist and together they popularised a procedure that revolutionised the field of cosmetics. In urology, the first experiments were carried out on the rat bladder. The application of BT in the human bladder was pioneered by Dennis Dykstra for detrusor sphincter dyssynergia in 1988 and Brigitte Schurch for detrusor overactivity in 2000, with promising results. Since then it has also been used with variable results in prostatic hyperplasia and chronic pain syndrome. CONCLUSIONS BT is a highly versatile pharmaceutical which has previously been used as biological weapon and is now a cosmetic agent as well as providing hope for a variety of refractory urological conditions Gillingham Kent, United Kingdom© 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 183Issue 4SApril 2010Page: e436 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Zahoor Fazili More articles by this author Howard Marsh More articles by this author Shikohe Masood More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.411
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.4110.131

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 head0.247
Teacher spread0.235 · 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.

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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