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Record W2812029512 · doi:10.4103/ija.ija_57_18

Erector spinae plane block in abdominal surgery: Case series

2018· article· en· W2812029512 on OpenAlexaff
JuanCarlos Luis-Navarro, M. Seda-Guzmán, C. Luis-Moreno, Ki-Jinn Chin

Bibliographic record

VenueIndian Journal of Anaesthesia · 2018
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineMetamizoleAnesthesiaAbdominal surgerySurgeryCatheterNerve blockBlock (permutation group theory)Laparoscopic surgeryLaparoscopyAnalgesic

Abstract

fetched live from OpenAlex

The aim of this study is to report 11 cases of erector spinae plane (ESP) block used for unilateral or bilateral abdominal surgery, adding to the overall limited experience with abdominal ESP block. The procedures were carried out at a teaching hospital in 11 patients (eight males, three females, ages 36-80 years) requiring abdominal surgery, including laparoscopic surgery. Each patient required surgery under different physical circumstances and likely different conceptions of what constituted pain. Two of the eleven patients were administered the ESP block and did not require general anaesthesia. Most of the patients with the ESP block maintained a numerical rating scale (NRS) for pain of 0-2/10 postoperatively. An occasional patient required paracetamol analgesia. There were no cases of opiate rescue. Obesity in a 46-year-old woman was believed to cause unclear ultrasonographic visualisation, interfering with entry of the ESP catheter. She, however, had no post-operative pain. She was given the usual intravenous metamizole 2 g for 10 h and required only analgesics at 16 h. ESP block, which produces analgesia by blocking trunk nerves, is an appropriate approach to patients requiring abdominal surgery, whether laparoscopic or open.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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 designCase report
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

Citations65
Published2018
Admission routes1
Has abstractyes

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