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Record W4250367581 · doi:10.1503/cjs.005714

Correction: Trauma Association of Canada abstracts

2014· article· en· W4250367581 on OpenAlexaffvenueabout
Precilla Veigas, Élaine de Guise, K.H. Tai, Anne Sorvari, Ioana Bratu, H. Cerniawsky, Courtney Fulton, Yassir Abdulrahman, B.K. Brice Lionel, B. Cissé, Lynne Moore, Hélène Audrit, M. Mercado, Skeeta Sobrian-Couroux, Jane Harrington, Niloofar Dehghan, David Gómez, Brodie Nolan, François-Charles Malo

Bibliographic record

VenueCanadian Journal of Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsUniversité de SherbrookeUniversity of TorontoLondon Health Sciences CentreAlberta Health ServicesHôpital de l'Enfant-JésusStollery Children's HospitalUniversité LavalUniversity of AlbertaSt. Michael's HospitalSunnybrook Health Science CentreMcGill University Health CentreHealth Sciences Centre
Fundersnot available
KeywordsMedicineThromboelastometryHyperfibrinolysisFibrinolysisThrombelastographyResuscitationEmergency medicineMedical emergencyInternal medicineCoagulopathy

Abstract

fetched live from OpenAlex

Background: Hyperfibrinolysis (HF) is uncommon after trauma but carries a high mortality.In practice, thromboelastometry (i.e., ROTEM) is the only test capable of diagnosing HF during initial resuscitation.We used ROTEM to study whether patients with traumatic brain injury (TBI) have HF on hospital admission.Methods: Review of all adult trauma patients with ROTEM on admission to Trauma Centre, grouped as: isolated TBI (Abbreviated Injury Score [AIS] head ≥ 2 and non-AIS head ≤ 1); no TBI (AIS head ≤ 1) and concomitant TBI/non-TBI injuries.Hyperfibrinolysis was "lethal" if ROTEM clot lysis (CLI30) was abnormal or maximum lysis (ML) was 100%, or nonlethal if ML was 99% or lower.Coagulopathy was abnormal ROTEM, international normalized ratio of 1.5 or more, or partial thromboplastin time of 40 seconds or more.Statistics used were the Student t test and logistic regression.Results: A total of 974 patients (August 2011-December 2012) had admission ROTEM; 207 had isolated TBI; 447 had no TBI; 320 had both.Groups were similar except for significantly higher Injury Severity Score (26 admission ROTEM, 18 isolated TBI/13 non-TBI); more blood transfusion; more coagulopathy in concomitant TBI/non-TBI group.Lethal HF was diagnosed in 0 patients with isolated TBI; 0.44% non-TBI patients (mortality 100%) and 5.9% concomitant TBI/non-TBI injuries (mortality 63%) (p < 0.001).Nonlethal HF was diagnosed in 36%, 40% and 30% (mortality 12%, 2.2% and 5.3%, respectively, mostly of TBI).Injury Severity Score (OR 1.11, 95% CI 1.08-1.14)was associated with HF but not TBI.Conclusion: Lethal HF though infrequent, carries prohibitive mortality (up to 63%).No patient with isolated TBI had lethal HF on admission, while in others it was diagnosed in up to 5.9%.Nonlethal HF was similarly diagnosed in all groups.ISS (but not TBI) was closely associated to HF suggesting that the extent of tissue destruction and not injury to specific tissues (i.e., brain) is the mechanism underlying hyperfibrinolysis in trauma.

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)0.002
metaresearch head score (Gemma)0.037
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.540
Threshold uncertainty score0.926

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.007
Science and technology studies0.0030.002
Scholarly communication0.0060.003
Open science0.0030.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.2440.095

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 head0.021
GPT teacher head0.216
Teacher spread0.196 · 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
GenreOther

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
Published2014
Admission routes3
Has abstractyes

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