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Record W7117303248 · doi:10.1136/bmjopen-2025-114158

Prophylaxis for venous thromboembolism in traumatic brain injury: protocol for a randomised controlled trial

2025· article· en· W7117303248 on OpenAlexafffundabout
Farhad Pirouzmand, François Mathieu, Alireza Mansouri, Kanthi Kavikondala, Ryan Alkins, J Gordon Boyd, Sean Christie, Philippe Couillard, Michael D. Cusimano, Paul T. Engels, Shane English, Daryl R. Fourney, R Fowler, William Geerts, Peter Gooderham, D. Griesdale, Gary Hunter, Pejman Jabehdar Maralani, M Kelly, Gail Klein, Andreas H. Kramer, Julie Kromm, Demetrios J. Kutsogiannis, François Lauzier, Matylda Machnowska, David Maslove, Jorge Mejía-Mantilla, Rajiv Midha, Basant K. Misra, Laurel Murphy, C J O’Kelly, Chirag Patel, Ruxandra Pinto, Antoine Pronovost, M. Sekhon, John Sinclair, Eve C. Tsai, Alexis F. Turgeon, Abhijit G. Warade, Damon C. Scales

Bibliographic record

VenueBMJ Open · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsUniversité LavalUniversity of AlbertaCentre hospitalier universitaire de QuébecVancouver Coastal HealthUniversity of British ColumbiaUniversity of SaskatchewanMcMaster UniversityVancouver General HospitalUniversity of CalgarySunnybrook HospitalQueen's UniversityToronto Public HealthOttawa HospitalHealth Sciences CentreUniversity of OttawaKingston Health Sciences CentrePublic Health OntarioHotchkiss Brain InstituteHamilton Health SciencesDalhousie UniversityUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Institutes of Health Research
KeywordsVenous thromboembolismRandomized controlled trialProtocol (science)MEDLINEClinical trialEpidemiologyStroke (engine)

Abstract

fetched live from OpenAlex

INTRODUCTION: Venous thromboembolism (VTE) is a common complication of traumatic brain injury (TBI) and is associated with increased morbidity and mortality. Low molecular weight heparin (LMWH) is recommended for prophylaxis against VTE after trauma but may increase the risk of progression of intracranial bleeding. Limited evidence exists to guide clinicians regarding the optimal timing of VTE prophylaxis in patients with acute TBI. This randomised controlled trial (RCT) will directly compare the safety and effectiveness of early versus delayed initiation of LMWH in patients with moderate to severe TBI. METHODS AND ANALYSIS: The study design is a Bayesian adaptive RCT comparing early (within three calendar days of injury) versus delayed (after study Day 7) VTE prophylaxis with the LMWH, dalteparin. All patients receive sequential compression devices until study Day 8. The co-primary effectiveness outcome is the development of clinically important VTE at study Day 8. The co-primary safety outcome is the development of clinically important intracranial bleeding at study Day 8. Secondary outcomes are mortality and functional outcomes (Glasgow Outcome Scale Extended and EQ-5D) measured at study Days 30 and 180; clinically diagnosed VTE to Day 30 and progression of intracranial bleeding to Day 8. ETHICS AND DISSEMINATION: This study has been approved through Clinical Trials Ontario's streamlined ethics review process (board of record, Sunnybrook Health Sciences Centre) and all participating centres. It is conducted in accordance with the Declaration of Helsinki, Good Clinical Practice guidelines and Health Canada regulatory requirements. We anticipate that the trial will achieve wide dissemination through publication in a peer-reviewed medical journal and presentation at international conferences targeting the fields of critical care, trauma and neurosurgery. The results of this trial will help guide clinicians aiming to balance the risks and benefits of early anticoagulant prophylaxis after TBI and will inform guideline development. TRIAL REGISTRATION NUMBER: NCT03559114.

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)0.052
metaresearch head score (Gemma)0.065
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 score0.123
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0520.065
Meta-epidemiology (narrow)0.0090.004
Meta-epidemiology (broad)0.0160.009
Bibliometrics0.0040.006
Science and technology studies0.0040.005
Scholarly communication0.0070.005
Open science0.0050.003
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.1230.019

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 head0.103
GPT teacher head0.456
Teacher spread0.353 · 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
Published2025
Admission routes3
Has abstractyes

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