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Record W4392946761 · doi:10.1016/j.jvscit.2024.101457

Randomized controlled trials in emergency settings: Taking a HEADSTART on acute type A aortic dissection trials

2024· article· en· W4392946761 on OpenAlexafffundabout
Dominique Vervoort, Munir Boodhwani, Michael Chu, Jennifer Chung, Jehangir J. Appoo, Maral Ouzounian

Bibliographic record

VenueJournal of Vascular Surgery Cases and Innovative Techniques · 2024
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversity of CalgaryUniversity of TorontoToronto General HospitalWestern UniversityLibin Cardiovascular Institute of AlbertaUniversity of Ottawa
FundersCanadian Institutes of Health ResearchEdwards LifesciencesHeart and Stroke Foundation of Canada
KeywordsMedicineAortic dissectionRandomized controlled trialIntensive care medicineEmergency medicineSurgeryAorta

Abstract

fetched live from OpenAlex

Emergency operations comprise up to 50% of the surgical practice across specialties, yet only 9.4% of surgical trials are related to emergency surgery settings.1 In vascular surgery, nascent experiences arose from the IMPROVE trial (Immediate Management of Patients with Rupture: Open Versus Endovascular Repair) for ruptured abdominal aortic aneurysms (AAA), randomizing patients to either open or endovascular surgical repair. In emergency thoracic aortic surgery, the Dissected Aorta Repair Through Stent Implantation (DARTS) and ARISE trials provided non-randomized insights, but no randomized trials have been conducted in the acute setting to date.

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)0.410
metaresearch head score (Gemma)0.665
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.410
Threshold uncertainty score0.727

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4100.665
Meta-epidemiology (narrow)0.0070.004
Meta-epidemiology (broad)0.0340.021
Bibliometrics0.0100.013
Science and technology studies0.0050.011
Scholarly communication0.0250.023
Open science0.0130.007
Research integrity0.0370.041
Insufficient payload (model declined to judge)0.0310.010

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 head0.088
GPT teacher head0.395
Teacher spread0.307 · 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
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

Citations2
Published2024
Admission routes3
Has abstractyes

Explore more

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