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Record W1992362078 · doi:10.5489/cuaj.258

Complete endoscopic management of a retained bullet in the bladder

2013· article· en· W1992362078 on OpenAlexaffvenue
Ariella Friedman, Quoc‐Dien Trinh, Sanjeev Kaul, Akshay Bhandari

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineFoley catheterSurgeryCystoscopeForeign bodyFoleyCatheter

Abstract

fetched live from OpenAlex

A 25-year-old male gunshot victim presented at our institution with gross hematuria following Foley catheter insertion. Computed tomography and cystogram did not show a bladder perforation, but were notable for a left ischial fracture and the presence of a bullet within the bladder. After failed attempts at retrieving the bullet with a resectoscope and loop, as well as a cystoscope and stone crusher, a 26 French nephroscope was inserted transurethrally, and the bullet was successfully engaged and removed using a Perc NCircle (Cook Medical, Bloomington, IN) grasper. The extra-peritoneal injury was managed conservatively with catheter drainage. To our knowledge, this represents the first case of successful transurethral management of a retained intravesical bullet. Such an approach may benefit patients with retained intravesical bullets or other challenging intravesical foreign bodies and may be helpful in select circumstances to spare patients from more extensive surgeries.

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)0.002
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
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 head0.019
GPT teacher head0.231
Teacher spread0.212 · 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

Citations9
Published2013
Admission routes2
Has abstractyes

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