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Ultrasound guided transversus abdominis plane block in infants, children and adolescents: a simple procedural guidance for their performance

2009· review· en· W2095476629 on OpenAlexaff
Santhanam Suresh, Vincent Chan

Bibliographic record

VenuePediatric Anesthesia · 2009
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineTransversus abdominisBlock (permutation group theory)UltrasoundLocal anestheticSurgeryRadiology

Abstract

fetched live from OpenAlex

The transversus abdominis plane block (TAP) has been described recently for pain management following abdominal surgery. Although many techniques have been described using anatomical landmarks, a simple ultrasound (US) guidance technique for the block has not been described in children. An article published by Hebbard and colleagues on the use of US-guidance for TAP blocks described the technique with the probe positioned at the midaxillary line with a needle insertion that is located further medial on the abdominal wall. This technique, although feasible in adults is not possible in children due to the need for obtaining a more thorough spread of the local anesthetic solution. We describe in this article, a user-friendly approach to the placement of a TAP block in infants, children and adolescents. Further pharmacokinetic data has to be obtained for actual dosing for these blocks in infants and children.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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

Citations136
Published2009
Admission routes1
Has abstractyes

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