Title |
Diagnosing pubovisceral avulsions: a systematic review of the clinical relevance of a prevalent anatomical defect
|
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Published in |
International Urogynecology Journal & Pelvic Floor Dysfunction, May 2012
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DOI | 10.1007/s00192-012-1805-0 |
Pubmed ID | |
Authors |
Karin Lammers, Jurgen J. Fütterer, Mathias Prokop, Mark E. Vierhout, Kirsten B. Kluivers |
Abstract |
The aims of this systematic literature review were to assess whether the detection of pubovisceral avulsions using magnetic resonance (MR) imaging or perineal ultrasonography was clinically relevant in women with pelvic floor dysfunction and to evaluate the relation with anatomy, symptoms, and recurrence after surgery. We performed a systematic literature review using three bibliographical databases (PubMed, Embase, and CINAHL) as data sources. Clinical studies were included in which pubovisceral avulsions were studied in relation to pelvic organ prolapse (POP) stage, pelvic floor symptoms, and/or recurrence of POP after surgery. Ultimately, 21 studies met the inclusion criteria. POP stage and recurrence of POP after surgery were strongly associated with pubovisceral avulsions. Contradictory results were found regarding the relation between pubovisceral avulsions and urinary symptoms and symptoms of anorectal dysfunction. Pubovisceral avulsions, as diagnosed by MR imaging or perineal ultrasonography, are associated with higher stages of POP and recurrence of POP after surgery. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 21% |
Student > Bachelor | 6 | 15% |
Student > Master | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Researcher | 3 | 8% |
Other | 6 | 15% |
Unknown | 9 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 36% |
Engineering | 4 | 10% |
Nursing and Health Professions | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Computer Science | 1 | 3% |
Other | 4 | 10% |
Unknown | 13 | 33% |