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Record W2314913324 · doi:10.1055/s-0031-1277199

Continuous Subdural Irrigation and Drainage for Intracranial Subdural Empyema in a 92-Year-Old Woman

2011· article· en· W2314913324 on OpenAlexfundno aff
Ki Seong Eom, T. Y. Kim

Bibliographic record

Venuemin - Minimally Invasive Neurosurgery · 2011
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsnot available
FundersWonkwang UniversityInnovation, Science and Economic Development Canada
KeywordsMedicineSubdural empyemaEmpyemaSurgerySubdural spaceDrainageIntracranial infectionAntibiotic therapyAntibiotics

Abstract

fetched live from OpenAlex

INTRODUCTION: Intracranial subdural empyema (ISDE) is a life-threatening intracranial infection. Early and precise detection, timely surgery, and appropriate antibiotic therapy are the keys to a more favorable clinical outcome. Treatment is aimed at complete evacuation of the empyema and eradication of the source of infection. However, in the case of elderly patients or patients with poor health, doctors hesitate to perform open cranial surgery under general anesthesia; thus, the choice of appropriate surgical method is fraught with many limitations. CASE REPORT: We present a case of ISDE in a 92-year-old woman who was successfully treated with continuous irrigation of the subdural space with antibiotics and drainage through 2 burr holes for 1 week without any complications. CONCLUSION: Continuous subdural irrigation is useful for the evacuation of pus and eradication of the source of infection, thereby resulting in a favorable outcome, especially in elderly patients and patients with poor health.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.253
Teacher spread0.219 · 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 designCase report
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

Citations9
Published2011
Admission routes1
Has abstractyes

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