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Record W2314436938 · doi:10.1097/aog.0000000000001096

Urinary Tract Injury at Benign Gynecologic Surgery and the Role of Cystoscopy

2015· review· en· W2314436938 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObstetrics and Gynecology · 2015
Typereview
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCystoscopyHysterectomyBladder injuryUrinary systemSurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To calculate the rates of urinary tract injury detected during and after benign gynecologic surgery. To explore the role of routine intraoperative cystoscopy and determine if it helps in reducing injuries detected postoperatively. DATA SOURCES: We conducted a literature search for urinary tract injuries at benign gynecologic surgery in PubMed, EMBASE, ClinicalTrials.gov, and Web of Science from January 2004 to August 2014. We combined our results with a database from a previously published systematic review to include earlier studies. METHODS OF STUDY SELECTION: A total of 79 studies met our inclusion criteria. Excluded were letters to the editor, studies involving only selective cystoscopy in higher risk patients, case reports, and reports that included injuries resulting from obstetric or oncologic procedures. TABULATION, INTEGRATION, AND RESULTS: Data from each report were classified according to type of surgery into vaginal hysterectomy, abdominal hysterectomy, laparoscopic hysterectomy, other (nonrobotic) gynecologic and urogynecologic surgery, robotic hysterectomy, and other robotic gynecologic and urogynecologic surgery. We determined the ureteric and bladder injury rates for each surgery type from studies in which routine intraoperative cystoscopy was performed and separately from studies in which it was not performed. Intraoperatively detected rates of ureteric and bladder injury were markedly higher with routine intraoperative cystoscopy. We obtained an adjusted ureteric injury rate of 0.3% and a bladder injury rate of 0.8%. The estimated postoperative ureteric injury detection rates per 1,000 surgeries were 1.6 without routine cystoscopy and 0.7 with routine cystoscopy. Postoperative bladder injury detection rates per 1,000 surgeries were 0.8 without routine cystoscopy and 1.0 with routine cystoscopy. CONCLUSION: Although routine cystoscopy clearly increases the intraoperative detection rate of urinary tract injuries, this systematic review of 79 mostly retrospective studies shows that it does not appear to have much effect on the postoperative injury detection rate.

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.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.044
GPT teacher head0.317
Teacher spread0.273 · 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