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Record W2969729677 · doi:10.9778/cmajo.20180188

Clinical significance of posttraumatic intracranial hemorrhage in clinically mild brain injury: a retrospective cohort study

2019· article· en· W2969729677 on OpenAlexaffvenueabout
Justin Z. Wang, Christopher D. Witiw, Nadia Scantlebury, Noah Ditkofsky, Avery B. Nathens, Leodante da Costa

Bibliographic record

VenueCMAJ Open · 2019
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGlasgow Coma ScaleTraumatic brain injuryCohortRetrospective cohort studyMidline shiftNeuroimagingHead traumaTrauma centerPediatricsSurgeryHematomaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Much attention has been focused on management of severe traumatic brain injury (TBI); however, comparatively little is known about management of traumatic hemorrhage in clinically mild TBI. We aimed to clarify the role of clinical observation and repeat radiography for patients with mild TBI and abnormal findings on initial computed tomography (CT) of the head. METHODS: We queried the neurotrauma database of the Ontario Trauma Registry and the Sunnybrook institutional database to identify patients with CT findings of a traumatic hemorrhage or calvarial fracture between November 2014 and December 2016. Exclusionary criteria were age less than 16 years, Glasgow Coma Scale (GCS) score less than 13, anticoagulant use, bleeding diathesis and midline shift greater than 5 mm. The primary outcome was the need for neurosurgical intervention. RESULTS: A total of 607 patients were included. Most (374 [61.6%]) had a GCS score of 15; 185 (30.5%) and 48 (7.9%) had a GCS score of 14 and 13, respectively. Five patients (0.8%) required surgical intervention, all within the first 72 hours, owing to clinical deterioration with subsequently demonstrated radiographic evidence of expanding hemorrhage. Most patients (506 [83.4%]) had routine repeat imaging, without documented change in their neurologic status. INTERPRETATION: The majority of patients in our cohort had repeat imaging, which did not influence surgical management, at substantial cost to the health care system. The findings suggest the need to reevaluate repeat imaging protocols for this subset of patients with TBI.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.013
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.374
Teacher spread0.329 · 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

Citations5
Published2019
Admission routes3
Has abstractyes

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