2023
Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data
Xu X, Chen L, Nunez-Smith M, Clark M, Wright J. Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data. PLOS ONE 2023, 18: e0289692. PMID: 37682914, PMCID: PMC10490884, DOI: 10.1371/journal.pone.0289692.Peer-Reviewed Original ResearchMeSH KeywordsDatabases, FactualFemaleGenital Neoplasms, FemaleHumansInsurancePostmenopauseRetrospective StudiesUnited StatesUterine HemorrhageConceptsPostmenopausal bleedingFirst diagnostic procedureDiagnostic evaluationDiagnostic proceduresGynecologic conditionsMedicaid patientsCox proportional hazards modelPrompt diagnostic evaluationRetrospective cohort studyMarketScan Research DatabasesAdditional risk factorsNon-clinical factorsCommon gynecologic conditionProportional hazards modelLower ratesCohort studyMost patientsPatient characteristicsBenign etiologyGynecologic cancerCancer patientsPreventive careUterine cancerInsurance typeRisk factors
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