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Delayed Intracranial Hemorrhage after Blunt Head Trauma while on Direct Oral Anticoagulant: Systematic Review and Meta-Analysis

2021· review· en· W3138038114 on OpenAlexaboutno aff
Thaddeus J. Puzio, Patrick Murphy, Heather R. Kregel, Ryan C. Ellis, Travis Ford Holder, Michael W. Wandling, Charles E. Wade, Lillian S. Kao, Michelle K. McNutt, John A. Harvin

Bibliographic record

VenueJournal of the American College of Surgeons · 2021
Typereview
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsnot available
FundersNational Institute of General Medical Sciences
KeywordsMedicineBluntMeta-analysisHead traumaBlunt traumaPsychoanalysisSurgeryInternal medicinePsychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Delayed intracranial hemorrhage (ICH) after a negative initial head cat scan (CT) is a recognized complication after blunt trauma but the risk of this condition is unknown. Due to theoretical increased risk in patients on direct oral anticoagulants (DOACs) and inability to monitor degree of anticoagulation, there is a lack of consensus regarding need for additional observation or routine repeat head CT. We hypothesized that patients on DOACs would have a low risk of delayed ICH after blunt head trauma. METHODS: In June 2020, an electronic literature search of MEDLINE (Ovid), Embase (Elsevier), and Cochrane Library was performed by a medical librarian (TH) using a combination of keywords and subject headings. Databases were searched from inception through June 2020. Included studies reported outcome data on trauma patients greater than 18 years old who were taking anticoagulants and were observed after initial normal head CT. A meta-analysis was performed using a random effects model. The Newcastle-Ottawa Scale (NOS) was utilized for assessing the quality of nonrandomized studies in meta-analyses. RESULTS: Our electronic search returned 5719 papers and after removal of duplications, 72 underwent full review, and 12 met final inclusion/exclusion criteria. Four thousand eight hundred ninety one of 5289 (92%) patients suffered a ground level fall. Four studies reported routine repeat CT scans on all patients while the remaining only repeated CT scans for symptoms. Overall, 5289 patients were studied and 1263 (23.9%) were on a DOAC. Sixty-nine patients suffered delayed intracranial hemorrhage, 25 on DOAC and 44 on warfarin. The pooled weighted proportion for delayed ICH on DOAC was 2.43% (95% CI, 1.31 – 3.88%) compared to 2.31% (95% CI, 1.26 – 3.66%) on warfarin. Eighty six percent of patients (59/69) who suffered delayed ICH had no clinical consequences while 0.16% (2/1263) of those on DOAC and 0.48% (8/1788) of those on warfarin died from complications following delayed ICH. The overall crude risk of death from delayed ICH while on DOAC or Warfarin was 0.36% (11/3051). CONCLUSIONS: The risk of delayed ICH following low energy blunt head trauma for patients on DOACs is low, and the risk of a clinically significant bleed is even lower. The practice of routinely observing or systematically repeating head CT in patients on DOACs after low energy blunt head trauma with initially negative head CT may not be warranted.

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)0.009
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.026
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
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 head0.066
GPT teacher head0.345
Teacher spread0.279 · 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 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".

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Citations26
Published2021
Admission routes1
Has abstractyes

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