2020
Unanticipated Uterine and Cervical Malignancy in Women Undergoing Hysterectomy for Uterovaginal Prolapse.
Andiman SE, Bui AH, Hardart A, Xu X. Unanticipated Uterine and Cervical Malignancy in Women Undergoing Hysterectomy for Uterovaginal Prolapse. Urogynecology 2020, 27: e549-e554. PMID: 33208657, DOI: 10.1097/spv.0000000000000990.Peer-Reviewed Original ResearchConceptsMultivariable logistic regressionUterovaginal prolapseUterine cancerCervical cancerSurgeons National Surgical Quality Improvement ProgramNational Surgical Quality Improvement ProgramSurgical Quality Improvement ProgramLogistic regressionUnexpected uterine malignancyQuality Improvement ProgramSample eligibility criteriaPathology-confirmed diagnosisUterine malignanciesRadical hysterectomyTotal hysterectomyPatient characteristicsUterine weightCervical malignancyGynecologic cancerOutcome measuresHysterectomyAmerican CollegeEligibility criteriaBivariate statistical testsConcurrent procedures
2019
Prevalence, characteristics, and risk factors of occult uterine cancer in presumed benign hysterectomy
Desai VB, Wright JD, Gross CP, Lin H, Boscoe FP, Hutchison LM, Schwartz PE, Xu X. Prevalence, characteristics, and risk factors of occult uterine cancer in presumed benign hysterectomy. American Journal Of Obstetrics And Gynecology 2019, 221: 39.e1-39.e14. PMID: 30853364, PMCID: PMC7006101, DOI: 10.1016/j.ajog.2019.02.051.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAsianBlack or African AmericanComorbidityEndometrial NeoplasmsEndometriosisEthnicityFemaleHispanic or LatinoHumansHysterectomyIncidental FindingsLeiomyomaLeiomyosarcomaMenstruation DisturbancesMetrorrhagiaMiddle AgedObesityPrevalenceRisk AssessmentRisk FactorsSarcomaUnited StatesUterine NeoplasmsUterine ProlapseWhite PeopleYoung AdultConceptsOccult uterine cancerUterine cancerBenign indicationsRisk factorsUterine sarcomaBenign hysterectomyEndometrial carcinomaPredictive valueResearch Cooperative System databaseState cancer registry dataNew York Statewide PlanningHigh negative predictive valueLow positive predictive valueAssociated risk factorsCorpus uteri cancerLarge population-based sampleCancer registry dataPopulation-based sampleAmbulatory surgery centersNegative predictive valuePositive predictive valueRisk prediction modelRace/ethnicityPostmenopausal bleedingPatient characteristics