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Record W4389163230 · doi:10.1097/aog.0000000000005468

Repair of Vesicovaginal Fistulae

2023· review· en· W4389163230 on OpenAlexaff
J. C. Thompson, Gabriela E. Halder, Peter C. Jeppson, Alexandriah Alas, Sunil Balgobin, Alexis A. Dieter, Sara Houlihan, Jeannine M. Miranne, Ambereen Sleemi, Ethan M. Balk, Saifuddin T. Mama, Kate V. Meriwether, Danielle D. Antosh

Bibliographic record

VenueObstetrics and Gynecology · 2023
Typereview
Languageen
FieldMedicine
TopicUreteral procedures and complications
Canadian institutionsUniversity of British Columbia
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsMedicineVesicovaginal fistulaSurgeryFistula

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess and compile the current level of evidence regarding successful surgical treatment of vesicovaginal fistulae and how these perioperative interventions affect anatomic, patient-centered, and adverse outcomes. DATA SOURCES: PubMed and EMBASE were searched from inception through September 9, 2022. METHODS OF STUDY SELECTION: This review included comparative studies (of any sample size) and single-group studies (1,000 or more participants) of primary or recurrent vesicovaginal fistula (ie, vesicovaginal fistula, urethrovaginal fistula, and bladder neck-vaginal fistula). We evaluated preintervention assessment or management, various techniques for intraoperative management, and postoperative management. Outcomes of interest included anatomic and objective outcomes (such as successful repair, fistula closure, urinary incontinence, recurrent fistula, perioperative complications) and subjective outcomes (such as voiding symptoms and quality of life). Abstracts and full-text articles were screened in duplicate, and study descriptions and findings were extracted into standardized extraction forms. Risk of bias was assessed independently by two investigators and adjudicated by a third. Study quality was summarized with standardized tools. We conducted random-effects model and restricted maximum-likelihood meta-analyses of relative risks when at least three studies compared similar interventions and reported similar outcome measures. TABULATION, INTEGRATION, AND RESULTS: Forty-six studies met the inclusion criteria. Studies were categorized into 11 domains: 1) preoperative assessment, 2) preoperative and postoperative physical therapy, 3) route of surgery, 4) incorporation of a flap, 5) trimming, 6) layered closure, 7) intraoperative antibiotics, 8) fibrin glue, 9) fascial sling, 10) postoperative Foley catheter duration, and 11) quality of life. Although the strength of the data is insufficient, preoperative phenazopyridine, physical therapy, layered closure, and intraoperative antibiotics seemed to improve the rate of successful fistula repair. Route of surgery (vaginal vs abdominal laparotomy) was determined primarily by surgeon preference and showed no difference in successful fistula repair. In addition, use of interpositional flaps, trimming fistula edges, fibrin glue, and fascial sling did not show significant improvement in rates of fistula cure. Overall, quality-of-life scores improved postoperatively regardless of route of repair and use of interpositional flaps. CONCLUSION: Our findings highlight the limited information available to guide evidence-based treatment of vesicovaginal fistula repair. Overall, high-quality evidence is lacking to provide guidelines; therefore, expert opinion remains the primary influence for fistula repair recommendations. SYSTEMATIC REVIEW REGISTRATION: PROSPERO, CRD42021214948.

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)0.013
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.095
GPT teacher head0.368
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

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 designNot applicable
Domainnot available
GenreReview

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

Citations20
Published2023
Admission routes1
Has abstractyes

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