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Record W2422550884 · doi:10.1111/anae.13527

Does paravertebral block require access to the paravertebral space?

2016· letter· en· W2422550884 on OpenAlexaff
I. Costache, John Sinclair, Faisal Farrash, Thanh Nguyen, Colin J. L. McCartney, Christopher J. Ramnanan, Shannon Goodwin

Bibliographic record

VenueAnaesthesia · 2016
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of OttawaOttawa Hospital
Fundersnot available
KeywordsMedicineAnatomyLigamentRopivacaineProcess (computing)Epidural spaceLocal anestheticBlock (permutation group theory)Surgery

Abstract

fetched live from OpenAlex

We read the article by Yoshida et al. on the effects of ropivacaine concentration on the spread of sensory block produced by continuous thoracic paravertebral block 1. Both traditional landmark and ultrasound techniques for thoracic paravertebral block (PVB) assume that the needle tip needs to lie anterior to the superior costotransverse ligament (SCTL) for block success. However, we have achieved successful PVB with deliberate injection posterior to the SCTL, and frequently observe pleural displacement with the needle tip and local anesthetic injection clearly posterior to the SCTL. Surgical experience provides a rationale for this occurrence. The paravertebral area is exposed for many spinal surgical procedures. During procedures requiring the removal of ligaments involving the rib and/or transverse process, the ligaments in the immediate paravertebral area are often not visualised as distinct entities; rather, the proximal ligament complex involving the rib head and transverse process may appear as a single structure. Additionally, there can be variability in the density and the continuity of these ligaments such that they may not form a definitive tissue layer. Consequently, the fascial planes in the paravertebral region may not be truly compartmentalised, resulting in locally-injected anesthetic travelling through septations and fenestrations in the ligamentous tissues. Unpredictable spread of PVB in previous studies could be explained by injections posterior to the SCTL resulting in a single level, cloud-like spread, and injections anterior to the SCTL resulting in a multilevel spread. We use dynamic ultrasound with a parasagittal scan, in-plane needle insertion cephalad to the probe, and injection posterior to the SCTL. In an unembalmed cadaver, we noted that injections of 5 ml of methylene blue 1% posterior to the SCTL from T2 to T7 bilaterally (except injections anterior to SCTL on left T4+5) stained the sympathetic chain (T1–T7 on the left, and T4–T8 on the right), and the intercostal nerves T1–T7, and their nerve roots in the paravertebral spaces, bilaterally. Our ultrasound observations and cadaver investigation suggest that the paravertebral space is not a true anatomical compartment and that the SCTL is not a barrier to diffusion of injectate as previously thought. We believe that successful PVB can be achieved with the needle tip further distant from the pleura than currently described, with greater potential for patient safety. Further studies will be required to confirm our preliminary work.

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)0.028
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0020.004
Open science0.0020.001
Research integrity0.0100.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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
GenreCommentary

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

Citations38
Published2016
Admission routes1
Has abstractyes

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