MétaCan
Menu
Back to cohort
Record W2887959763 · doi:10.1097/aco.0000000000000635

Informed consent for regional anesthesia

2018· review· en· W2887959763 on OpenAlexaff
Sarah Tierney, Anahi Perlas

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2018
Typereview
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineDocumentationInformed consentAutonomyCornerstonePerioperativeFoundation (evidence)Patient safetyRegional anesthesiaNursingMedical educationIntensive care medicineMedical emergencyHealth careAnesthesiaAlternative medicineLaw

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This narrative review describes the current framework for informed consent discussions for regional anesthesia practice from an ethical and medicolegal stand point as the cornerstone of the patient-physician relationship and the respect for patient autonomy. Recent guidelines and position statements from anesthesia societies have emphasized the importance of these discussions and their appropriate documentation. RECENT FINDINGS: Recent studies have shown that patients want to know more about both common and benign, as well as rare but serious adverse events, as it relates to their anesthetic care. Several strategies have been recently recommended as a means to facilitate a meaningful consent discussion and proper documentation in the perioperative environment. SUMMARY: Defining the material risks of ultrasound-guided regional anesthetic procedures remains challenging, due in part to the difficulty in quantifying incidence rates of relatively rare events. However, well informed discussions are of great importance to support patient autonomy and lay a strong foundation for the patient-anesthesiologist relationship.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.692
GPT teacher head0.573
Teacher spread0.119 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in AnaesthesiologySame topicPatient-Provider Communication in HealthcareFrench-language works237,207