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Record W2048044810 · doi:10.1055/s-0030-1267848

Pharmacology of Sclerotherapy

2010· article· en· W2048044810 on OpenAlexaboutno aff
Giustino Albanese, Kimi Kondo

Bibliographic record

VenueSeminars in Interventional Radiology · 2010
Typearticle
Languageen
FieldMedicine
TopicDiagnosis and Treatment of Venous Diseases
Canadian institutionsnot available
FundersTufts University School of Medicine
KeywordsSclerotherapyMedicineDrug deliveryDosingPharmacologySurgery

Abstract

fetched live from OpenAlex

Sclerotherapy is the therapeutic use of sclerosants in the controlled destruction of undesired target tissues. Sclerosants have been used in vascular and nonvascular settings, both as primary and adjunctive therapy. Effective sclerotherapy requires a conceptual understanding of key questions about the process being treated, including the method of delivery, the presence of flow, and the required contact time to initiate sclerosis. However, beyond technique and delivery, practical and safe application of sclerotherapy requires an understanding of the uses, limitations, dosing, and side effects of sclerosants used during interventional radiology procedures. Agents discussed here include detergents and surfactants [ethanol, Sotradecol(®) (Bioniche Pharma, Pointe Claire, Quebec and Angiodynamics, Latham, NY), ethanolamine oleate], hypertonics (saline, glucose), and a review of several other types that are used less frequently.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.006

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 head0.015
GPT teacher head0.337
Teacher spread0.322 · 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
GenreReview

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

Citations136
Published2010
Admission routes1
Has abstractyes

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