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Record W4249722633 · doi:10.3109/9780203014332-18

Intraoperative cystourethroscopy in the prevention and treatment of urinary tract injury in gynecological surgery

2007· book-chapter· en· W4249722633 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUrinary systemGynecological surgerySurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

Introduction Intraoperative injury to the urinary tract during gynecological surgery is a well-known complication and can involve the ureter, bladder, or urethra. If detected at the time of surgery, repair can be performed without significant consequence to postoperative recovery or urinary tract function. If undiagnosed, significant consequences can occur with the development of urinary fistulae and possible loss of kidney function. Secondary repair usually involves multiple outpatient visits and surgery, which results in loss of quality of life and possible long-term disability and medicolegal sequelae. At present, only 1 in 10 ureteric injuries and 1 in 2 bladder injuries are detected intraoperatively.1 A recent Canadian study2 showed the risk of litigation was increased 91-fold if a woman received a urinary tract injury compared with other complications during hysterectomy and tubo-ovarian surgery.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.077
GPT teacher head0.348
Teacher spread0.271 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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