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Color Flow Doppler in Spinal Ultrasound: A Novel Technique for Assessment of Catheter Position in Labor Epidurals

2023· article· en· W4386350172 on OpenAlexaff
Oscar F. C. van den Bosch, Yehoshua Gleicher, Cristián Arzola, Naveed Siddiqui, Kristi Downey, Jose C. A. Carvalho

Bibliographic record

VenueObstetric Anesthesia Digest · 2023
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineCatheterAnesthesiaSalineVisibilityUltrasoundSurgeryRadiology

Abstract

fetched live from OpenAlex

( Reg Anesth Pain Med 2022;47:775–779) Epidural analgesia is one of the most common pain relief treatments during labor and delivery and is usually very effective. In a small percentage of epidurals, misplacement of the epidural catheter can cause inadequate anesthetic effects. To reduce instances of insufficient pain relief, it would be beneficial to be able to assess the position and flow of the catheter before administering medication. This study was designed to visualize flow in the epidural space using a structured color flow Doppler assessment, and to describe the location of the flow relative to the catheter insertion site. The primary outcome was the visualization of flow in the epidural space by color flow Doppler ultrasound. Secondary outcomes were visualization of catheter flow at the interspace of insertion, and at the interspaces above and below insertion, as well as visibility from unilateral or bilateral view, and visibility of flow on injection of saline only or an injection of a saline and air mixture.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.853

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.310
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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