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Record W3164513206 · doi:10.1177/02683555211015564

Ultrasound-guided cyanoacrylate injection for the treatment of incompetent perforator veins

2021· article· en· W3164513206 on OpenAlexaff
Alexa Mordhorst, Gary K. Yang, Jerry C. Chen, Shung Lee, Joël Gagnon

Bibliographic record

VenuePhlebology The Journal of Venous Disease · 2021
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCyanoacrylateUltrasoundRadiologyVaricose veins

Abstract

fetched live from OpenAlex

OBJECTIVE: The use of cyanoacrylate products (CA) in incompetent perforator vein (IPV) treatment has not been thoroughly examined. The primary objective of this study is to describe the technique of ultra sound guided direct injection of IPV with CA, and secondarily to determine early closure rates and safety of this technique. METHODS: A retrospective analysis of patients undergoing IPV injection at two centres between 2015-2018 was conducted. Demographics, CEAP classification and IPV location were collected. Outcomes were assessed at two follow-up appointments. RESULTS: A total of 83 perforator vein injections were completed. CEAP classifications include C2 - C6 classes. Location of perforators were posteromedial (6%), femoral canal (9%), paratibial (14%), and posterior-tibial (71%). IPV closure rates were 96.3% at initial follow-up (16 ± 2 days). Closure rates decreased to 86.5% at second follow-up (72 ± 9 days). There were no deep vein thromboses during follow-up. One patient developed septic thrombophlebitis that was successfully managed with antibiotics. CONCLUSION: Ultrasound-guided CA glue injection is a simple and low risk procedure that effectively closes incompetent perforator veins.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.259

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 head0.025
GPT teacher head0.300
Teacher spread0.275 · 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 designObservational
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

Citations10
Published2021
Admission routes1
Has abstractyes

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