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Record W2064225788 · doi:10.1097/sle.0b013e318169039b

The Use of Endoscopic Hemoclips for Postoperative Anastomotic Bleeding

2008· article· en· W2064225788 on OpenAlexaff
D C Trottier, Martin Friedlich, Alaa Rostom

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2008
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineArgon plasma coagulationTherapeutic endoscopyEndoscopySurgeryAnastomosisGeneral surgeryEpinephrineAnesthesia

Abstract

fetched live from OpenAlex

With the availability of endoscopy and its inherent use as a diagnostic and therapeutic modality, many surgeons and gastroenterologists are able to use this tool to remedy a wide range of gastrointestinal pathologies. The literature is replete with anecdotal endoscopic therapeutic strategies ranging from epinephrine injection, to use of cautery or argon plasma coagulation. This case report highlights the use of endoscopic hemoclips which were successfully applied in the acute postoperative period for a bleeding vessel at a fresh anastomotic site. The article allows for a brief discussion of plausible endoscopic treatment strategies available to the surgeon faced with a similar situation.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.057
GPT teacher head0.309
Teacher spread0.252 · 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 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

Citations6
Published2008
Admission routes1
Has abstractyes

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