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Record W2028494504 · doi:10.2147/oas.s47328

Advances in abdominal access for laparoscopic surgery: a review

2014· review· en· W2028494504 on OpenAlexaff
Guillaume Martel, Maurice Ogaick

Bibliographic record

VenueOpen Access Surgery · 2014
Typereview
Languageen
FieldMedicine
TopicMinimally Invasive Surgical Techniques
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineVeress needleSurgeryLaparoscopic surgeryEndoscopic surgeryCholecystectomyLaparoscopyGeneral surgeryAbdominal surgeryAbdominal wallLaparoscopic cholecystectomyEndoscopy

Abstract

fetched live from OpenAlex

Abstract: There are several laparoscopic surgery abdominal wall access techniques. The most useful and well-established is the open Hasson technique. The Veress needle closed technique is another alternative, but its use is controversial owing to possibly higher rates of rare insertion complications. Optical trocars have been developed in an attempt to decrease complication rates even further, although the evidence base supporting their use is limited. Single-incision laparoscopic surgery (SILS) is used in certain centers to carry out various abdominal surgeries, but most commonly appendectomy and cholecystectomy. To date, SILS appears safe and feasible, with possibly greater costs and operative time. Natural orifice translumenal endoscopic surgery (NOTES) is an evolving area of incisionless surgery. While some progress has been made in achieving transgastric or transvaginal peritoneal endoscopic access, this technique remains largely unproven and best-suited for experimental or clinical trial protocols. Keywords: laparoscopy, Hasson, Veress, optical trocar, SILS, NOTES

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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.309
GPT teacher head0.554
Teacher spread0.245 · 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
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

Citations3
Published2014
Admission routes1
Has abstractyes

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