Reconstructive Surgery of the Female Genital, Urethral, and Anal Tract: A Multidisciplinary Analysis and Future Perspectives.
Bibliographic record
Abstract
Detailed Description This project is a systematic review of reconstructive and cosmetic surgical techniques of the female genital, urethral, and anal tract, conducted according to PRISMA guidelines. Pelvic floor dysfunctions, congenital anomalies, obstetric trauma, oncological resections, and other acquired defects have profound consequences on urinary and fecal continence, sexual function, and overall quality of life. Reconstructive and cosmetic surgery offers a wide range of techniques—ranging from local and regional flaps, to microsurgical free flaps, to prosthetic devices and cosmetic procedures—that aim to restore both anatomy and function while also addressing aesthetic concerns. The purpose of this review is to systematically collect, appraise, and synthesize the available evidence published between 2000 and 2025 on reconstructive and cosmetic surgical interventions in women. The study will evaluate: Functional outcomes such as continence, fistula closure, and anatomical restoration. Patient-centered outcomes, including sexual function, quality of life, and satisfaction. Surgical safety outcomes, including complications, wound healing, and long-term sequelae. A systematic search of PubMed, Embase, and the Cochrane Library was performed up to May 31, 2025, including clinical studies (randomized controlled trials, observational studies, case series, and systematic reviews) in English and Italian. Risk of bias will be assessed using the Cochrane RoB tool for randomized studies and the Newcastle–Ottawa Scale for observational studies. The expected outcomes of this project are: A transparent overview of the reconstructive options available for different indications (oncologic, obstetric, traumatic, cosmetic). Identification of the most reliable techniques and their complication profiles. A critical appraisal of the evidence gaps, particularly regarding long-term outcomes, sexual function, and patient-reported quality of life. Practical recommendations for clinicians and future research directions, with emphasis on multidisciplinary management involving gynecology, plastic surgery, physiotherapy, and psychological support. By providing a rigorous synthesis of the literature, this review aims to inform clinical practice, guide surgical decision-making, and highlight areas where further high-quality research is needed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.017 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".