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Record W2035461271 · doi:10.1089/lap.2011.0408

Use of a SILS Port in Transanal Endoscopic Microsurgery in the Setting of a Community Hospital

2011· article· en· W2035461271 on OpenAlexaff
Jacob Matz, A. Matz

Bibliographic record

VenueJournal of Laparoendoscopic & Advanced Surgical Techniques · 2011
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsNova Scotia HospitalDalhousie University
Fundersnot available
KeywordsMedicineMicrosurgerySurgeryRectumPort (circuit theory)Anal canalVisibility

Abstract

fetched live from OpenAlex

Transanal endoscopic microsurgery (TEM) is a well-known technique for the removal of rectal lesions. This operation poses several advantages over traditional anal excision, which include better visibility of the rectum, more precise border excision, and a lower recurrence rate of benign and stage T1 malignant neoplasms. Introducing a SILS™ port (Covidien) into the anal canal (originally developed for single-incision laparoscopic surgery), instead of the TEM proctoscope, may further enhance the technique. We performed excisions of rectal lesions in 3 patients using a SILS port in TEM. In all cases, it was easy to maintain the rectum insufflated, and the visibility was excellent. The rectal lesions were successfully resected without significant intraoperative complications. Postoperative recovery was uneventful in both cases. TEM with a SILS port is a promising technique that may provide several advantages over the traditional TEM, including cost-effectiveness, and can be easily implemented in the setting of a community hospital.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.319
Teacher spread0.260 · 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

Citations27
Published2011
Admission routes1
Has abstractyes

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