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Record W2467374873 · doi:10.1097/md.0000000000003733

Key to Prevention of Bradycardia

2016· article· en· W2467374873 on OpenAlexaff
Tumul Chowdhury, Bernhard Schaller

Bibliographic record

VenueMedicine · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineBradycardiaSupine positionAnesthesiaVenous return curveHemodynamicsTrendelenburg positionValsalva maneuverProne positionBlood pressureHeart rateInternal medicine

Abstract

fetched live from OpenAlex

Hypotension and bradycardia are commonly observed after the spinal anesthesia and various mechanisms have been postulated for these hemodynamic changes.A middle-aged otherwise healthy male Caucasian patient developed several episodes of bradycardia postoperatively after the umbilical hernia repair under subarachnoid block (SAB) while trying to lean forward and move his legs. Episodes were aborted when patient was advised to relax in supine position.The common mechanism of bradycardia and hypotension under SAB is postulated as sympathetic blockade, decrease venous return, and parasympathetic over-dominance leading to a decrease in right arterial pressure and pressure in the great veins as they enter the right atrium. But over time, the parasympathetic inhibition is usually withdrawn first, leading to the risk of severe bradycardia that is probably favored by the reverse Trendelenburg position as described in our case.Postoperative severe hemodynamic changes can occur even under stable spinal anesthesia; however, can be prevented by vigilant monitoring and simple maneuver which includes maintenance of relax posture on the bed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0350.017

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 head0.014
GPT teacher head0.277
Teacher spread0.262 · 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
GenreOther

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

Citations4
Published2016
Admission routes1
Has abstractyes

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