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Record W2419025649 · doi:10.1097/wco.0000000000000282

Management of patients with aneurysmal subarachnoid haemorrhage

2015· review· en· W2419025649 on OpenAlexfundno aff
Gabriël J.E. Rinkel

Bibliographic record

VenueCurrent Opinion in Neurology · 2015
Typereview
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineNimodipineAneurysmSubarachnoid hemorrhageLumbar punctureSubarachnoid haemorrhageAntifibrinolyticEndovascular treatmentIntensive care medicineSurgeryInternal medicineCerebrospinal fluidTranexamic acid

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Outcome of patients with aneurysmal subarachnoid haemorrhage (ASAH) has improved, but is still poor. After the introduction of endovascular treatment of intracranial aneurysms, much attention has been given to indications for and advances in endovascular and microneurosurgical techniques to occlude aneurysms, but management of patients with ASAH encompasses much more than occluding the aneurysm. RECENT FINDINGS: This review describes recent advances in diagnosis and general management of ASAH and in knowledge and medical treatment of delayed cerebral ischaemia and rebleeding. SUMMARY: In patients with a head computed tomography scan performed less than 6 h after headache onset and reported negative by a staff radiologist, lumbar puncture can be withheld. Patients with ASAH should preferably be treated in a tertiary care centre that treats more than 100 ASAH patients per year. Currently, the only treatment strategy to reduce the risk of delayed cerebral ischaemia remains nimodipine; there is no place for statins or magnesium sulphate, nor for lumbar drainage. Hypervolaemia and induced hypertension may be less beneficial than presumed, and further trials are urgently needed. Very early and short treatment with antifibrinolytic drugs may also be beneficial, but data from ongoing trials should be awaited before this treatment strategy can be implemented.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.352
Teacher spread0.282 · 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 designNot applicable
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

Citations13
Published2015
Admission routes1
Has abstractyes

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