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Record W4288078035 · doi:10.1016/j.sipas.2022.100115

Standardized approach to median arcuate ligament syndrome and laparoscopic release: A case series

2022· article· en· W4288078035 on OpenAlexaff
Aneetinder Mann, Tyler McKechnie, Margherita Cadeddu, Jacques G. Tittley

Bibliographic record

VenueSurgery in Practice and Science · 2022
Typearticle
Languageen
FieldMedicine
TopicAbdominal vascular conditions and treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineSurgeryRetrospective cohort studyLaparoscopy

Abstract

fetched live from OpenAlex

Background: Median arcuate ligament syndrome (MALS) is a rare disorder characterized by compression of the celiac axis. Recently, laparoscopic approaches to median arcuate ligament release (MALR) have been described. The purpose of this study is to evaluate our institutional experience and outcomes with laparoscopic MALR. Methods: Retrospective analysis of all patients who underwent laparoscopic MALR between January 2018 and April 2019 at a single institution. A 14-question postoperative survey was administered via telephone. Peri-operative morbidity and mortality, as well as operative times were assessed. Results: Nine patients underwent laparoscopic MALR. Five patients were discharged on post-operative day one. Average length of stay was 2.1 days (+/-1.96). There were no reported intra-operative complications. Average procedure time was 92.4 min (+/-31.4), which decreased over time (p=0.046). Conclusions: This study describes a standardized approach to laparoscopic MALR that is safe and provides early relief of symptoms.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.337
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.295
Teacher spread0.274 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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