Standardized approach to median arcuate ligament syndrome and laparoscopic release: A case series
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".