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Protocol for a randomized controlled trial of endoscopic ultrasound guided celiac plexus neurolysis (EUS-CPN) with vs without bupivacaine

2024· other· en· W6958697740 on OpenAlexaff

Bibliographic record

VenueFigshare · 2024
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicCollaboration in agile enterprises
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsBupivacaineRandomized controlled trialCeliac plexusAdverse effectNeurolysisEndoscopic ultrasoundMalignancyCancer

Abstract

fetched live from OpenAlex

Abstract Background Pancreatic cancer is a devastating disease with less than 5% 5-year survival. Inoperable patients often present with pain. Randomized controlled trial have shown that endoscopic ultrasound-guided celiac plexus neurolysis (EUS-CPN) improves pain control. It is usually performed by injecting bupivacaine followed by absolute alcohol around the celiac axis. Study design Single center, randomized, double blind controlled trial of EUS-CPN with and without bupivacaine in patients with inoperable malignancy (pancreatic or other) involving the celiac plexus. The study was approved by research ethics board with approval number of 2022-9969, 21.151 and registered on ClinicalTrials.gov (NCT04951804). Discussion We hypothesize that bupivacaine is superfluous and may actually reduce pain control by diluting the neurolytic effect of alcohol. Bupivacaine is also potentially dangerous in that it may produce serious adverse events such as arrythmias and cardiac arrest if inadvertently injected intravascularly. Conclusion This randomized trial is designed to assess whether bupivacaine is of any value during EUS-CPN.

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)0.029
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.121
Threshold uncertainty score0.403

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.033
Meta-epidemiology (narrow)0.0070.002
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0020.003
Science and technology studies0.0040.004
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.1210.017

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 head0.028
GPT teacher head0.302
Teacher spread0.274 · 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 designRandomized trial
Domainnot available
GenreProtocol

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
Published2024
Admission routes1
Has abstractyes

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