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Record W1967726600 · doi:10.4103/0971-9784.114237

Epidural catheterization in cardiac surgery: The 2012 risk assessment

2013· review· en· W1967726600 on OpenAlexaff
ThomasM Hemmerling, Shantale Cyr, Nora Terrasini

Bibliographic record

VenueAnnals of Cardiac Anaesthesia · 2013
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineEpidural hematomaHematomaCatheterSurgeryCardiac surgeryConfidence intervalPopulationParaplegiaAnesthesiaInternal medicineSpinal cord

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: The risk assessment of epidural hematoma due to catheter placement in patients undergoing cardiac surgery is essential since its benefits have to be weighed against risks, such as the risk of paraplegia. We determined the risk of the catheter-related epidural hematoma in cardiac surgery based on the cases reported in the literature up to September 2012. MATERIALS AND METHODS: We included all reported cases of epidural catheter placement for cardiac surgery in web and in literature from 1966 to September 2012. Risks of other medical and non-medical activities were retrieved from recent reviews or national statistical reports. RESULTS: Based on our analysis the risk of catheter-related epidural hematoma is 1 in 5493 with a 95% confidence interval (CI) of 1/970-1/31114. The risk of catheter-related epidural hematoma in cardiac surgery is similar to the risk in the general surgery population at 1 in 6,628 (95% CI 1/1,170-1/37,552). CONCLUSIONS: The present risk calculation does not justify not offering epidural analgesia as part of a multimodal analgesia protocol in cardiac surgery.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.364
Teacher spread0.283 · 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 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

Citations52
Published2013
Admission routes1
Has abstractyes

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