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Record W4410020307 · doi:10.3171/2025.1.jns241265

Intraosseous needle for management of subacute and chronic subdural hematoma

2025· article· en· W4410020307 on OpenAlexaff
Navraj S. Heran, Tyler D. Yan, Manraj K.S. Heran, Amir Behboudi, Susan K. Kadyschuk

Bibliographic record

VenueJournal of neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsPeace Arch HospitalUniversity of British ColumbiaRoyal Columbian Hospital
Fundersnot available
KeywordsMedicineChronic subdural hematomaDecompressionHematomaSurgeryAdverse effectRetrospective cohort studyDemographicsConservative managementSubdural HematomasInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The primary objective of this study was to evaluate the safety and efficacy of using an intraosseous (IO) needle for decompressive management of subacute and chronic subdural hematomas (SDHs). METHODS: This is a single-center retrospective review of subacute and chronic SDHs treated with IO needle decompression from May 2022 to November 2023. Technical success, recurrence, procedure-related complications, major adverse events, patient demographics, and procedural details were analyzed using standard statistical analysis. RESULTS: Fifty-one patients (mean age 75.4 [SD 11.4] years) met the inclusion criteria. Technical success was achieved in all patients, with only 1 case of recurrence. Rates of procedure-related complications (3/51, 5.9%) and major adverse events (2/51, 4%) were low. There were no statistically significant differences between those with subacute SDHs compared with those with chronic SDHs. CONCLUSIONS: IO needle decompression is a feasible, safe, and effective option for management of subacute and chronic SDHs, with minimal recurrence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

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

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 head0.015
GPT teacher head0.299
Teacher spread0.284 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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