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Record W1527700706 · doi:10.1155/2012/452340

The Over-the-Scope Clip System – A Novel Technique for Sastrocutaneous Fistula closure: The first North American Experience

2012· article· en· W1527700706 on OpenAlexvenueno aff
Truptesh Kothari, Gregory Haber, Niket Sonpal, Nithin Karanth

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2012
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsClosure (psychology)Scope (computer science)Computer sciencePolitical scienceProgramming languageLaw

Abstract

fetched live from OpenAlex

BACKGROUND: The mainstay of therapy for gastrocutaneous (GC) fistulas has been surgical intervention. However, endoclips are currently used for management of perforations and fistulas but are limited by their ability to entrap and hold the tissue. OBJECTIVE: To report the first North American experience with a commercially available over-the-scope clip (OTSC) device, a novel and new tool for the endoscopic entrapment of tissue for the closure of fistula and perforations. METHODS: The present single-centre study was conducted at a tertiary referral academic gastroenterology unit and centre for advanced therapeutic endoscopy and involved patients referred for endoscopic treatment for the closure of a GC fistula. The OTSC device was mounted on the tip of the endoscope and passed into the stomach to the level of the fistula. The targeted site of the fistula was grasped with the tissue anchoring tripod and pulled into the cap with concomitant scope channel suction. Once the tissue was trapped in the cap, a 'bear claw' clip was deployed. RESULTS: The patients recovered with fistula closure. No complication or recurrence was noted. Fistula sizes >1 cm, however, were difficult to close with the OTSC system. The length of stay of the bear claw clip at the fistula site is unpredictable, which may lead to incomplete closure of the fistula. CONCLUSION: Closure of a GC fistula using a novel 'bear claw' clip system is feasible and safe.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.012
GPT teacher head0.245
Teacher spread0.233 · 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 designObservational
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

Citations30
Published2012
Admission routes1
Has abstractyes

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