MétaCan
Menu
Back to cohort
Record W4225109013 · doi:10.1080/02699052.2022.2065034

Delayed intracranial hemorrhage of patients with mild traumatic brain injury under antithrombotics on routine repeat CT scan: a systematic review and meta-analysis

2022· review· en· W4225109013 on OpenAlexaboutno aff
Salim El Hadwe, M. Assamadi, Sami Barrit, Dimitrios Giannis, Anna‐Bettina Haidich, Dimitrios G. Goulis, Athanasios Chatzisotiriou

Bibliographic record

VenueBrain Injury · 2022
Typereview
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
FundersAristotle University of Thessaloniki
KeywordsMedicineIncidence (geometry)Traumatic brain injuryAntithromboticMeta-analysisStroke (engine)SurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Patients on antithrombotics experiencing mild traumatic brain injury (mTBI) may benefit from a routine repeat CT scan to detect delayed intracranial hemorrhage (dICH). OBJECTIVES: The primary outcome was the incidence of dICH on routine repeat CT scans of mTBI patients on antithrombotics within an intra-hospital observation period of up to 48 hours. The secondary outcomes were potential risk factors, readmissions, neurosurgical interventions, and mortality. METHODS: A systematic review and a meta-analysis of single proportions were performed according to the PRISMA and PRESS guidelines. The risk of bias was assessed using Newcastle-Ottawa Scale. RESULTS: Eighteen studies with 4613 patients were included. The pooled incidence of dICH was 2% [95% CI 1-2%] with similar rates between different antithrombotic regimens, even in combination. Of the 67 patients with dICH reported (1.45%), eleven required surgery (0.24%), while six died (0.13%). Loss of consciousness was a risk factor of dICH (risk ratio 3.04 [95%CI 0.96; 9.58]). A total of 48 patients were reported for readmission without associated death or surgical intervention. CONCLUSION: The contribution of this routine repeat CT scan should be questioned due to the low incidence, the limited clinical significance, and the unsubstantiated clinical benefit of early or systematic detection of dICH.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0150.003
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.081
GPT teacher head0.362
Teacher spread0.281 · 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.

Study designMeta-analysis
Domainnot available
GenreReview

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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBrain InjurySame topicIntracerebral and Subarachnoid Hemorrhage ResearchFrench-language works237,207