Predictive value of prolapse symptoms: A large database study

International Urogynecology Journal

Volumn 16, Issue 3, 2005, Pages 203-209

  Tan, Jasmine S ^a   Lukacz, Emily S ^a   Menefee, Shawn A ^b   Powell, Curt R ^c   Nager, Charles W ^a,d   Albo, Michael E ^a   Luber, Karl M ^b  

^a UCSD MEDICAL CENTER   (United States)

^b KAISER PERMANENTE MEDICAL CENTER   (United States)

^c NAVAL MEDICAL CENTER SAN DIEGO   (United States)

^d UNIVERSITY OF CALIFORNIA SAN DIEGO HEALTH SYSTEM   (United States)

Author keywords

Digital assistance; Pelvic organ prolapse; Prediction; Prolapse; Splinting

Indexed keywords

ADULT; AGED; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE SEVERITY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MASS SCREENING; PELVIC ORGAN PROLAPSE; POPULATION DISTRIBUTION; POPULATION RESEARCH; PRIORITY JOURNAL; QUALITY OF LIFE; QUANTITATIVE ANALYSIS; QUESTIONNAIRE; SCREENING TEST; SENSITIVITY AND SPECIFICITY; STANDARDIZATION; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SYMPTOMATOLOGY;

EID: 20944431637     PISSN: 09373462     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00192-004-1243-8     Document Type: Article

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