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Minilaparotomy for Aortoiliac Aneurysmal Disease

2005· review· en· W2057551936 on OpenAlexaff
Shirley J. Fearn, Fabien Thaveau, Ralf Kolvenbach, Yves Marie Dion

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2005
Typereview
Languageen
FieldMedicine
TopicAortic aneurysm repair treatments
Canadian institutionsUniversité LavalHôpital Saint-François d'AssiseCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineLaparoscopySurgeryAortoiliac occlusive diseaseAneurysmAbdominal aortic aneurysmInvasive surgeryAortic aneurysmRadiology

Abstract

fetched live from OpenAlex

Vascular surgery is evolving, as other specialities, toward minimally invasive techniques. Presently, 3 approaches to aortoiliac disease are suggested as minimally invasive. Besides the endovascular procedures, laparoscopic techniques and minilaparotomy are being advocated. Although for aneurysmal disease, we favor a totally laparoscopic approach, criticisms raised over laparoscopy-assisted techniques by those advocating minilaparotomy led us to investigate the benefits of the latter technique. We first evaluated the procedure in 7 patients with infrarenal abdominal aortic aneurysm (AAA). We found the procedure impossible to perform with an 8- to 10-cm incision in 6 of the 7 patients. This led us to evaluate causes of failure of the technique. It appeared to us that most of our complications were related to inadequate exposure. Fifty consecutive computed tomography scans from patients with AAA of surgical size were then reviewed to evaluate the aneurysm lengths and compare them to the reported lengths of skin incision for minilaparotomy. Results were expressed adding a total of 2 cm for proximal and distal clamping. Only 2% of patients would present with aneurysms suitable for treatment through an 8-cm midline incision and 30% through a 10-cm incision. We then reviewed the literature on minilaparotomy. We believe that minilaparotomy should be reserved for those patients with purely aortic disease and the appropriate body habitus.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.384
Teacher spread0.346 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations17
Published2005
Admission routes1
Has abstractyes

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