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1.
Am J Obstet Gynecol ; 225(4): 397.e1-397.e6, 2021 10.
Artículo en Inglés | MEDLINE | ID: mdl-33798477

RESUMEN

BACKGROUND: Opportunistic salpingectomy at the time of hysterectomy or as an alternative to bilateral tubal ligation may reduce the incidence of ovarian cancer, because it has been demonstrated that most serous ovarian cancers begin in the fallopian tubes. However, salpingectomy at the time of sterilization is not always financially covered by third-party payers, and this represents a barrier to adoption. Routine salpingectomy has become more common but is not always practiced at the time of hysterectomy. OBJECTIVE: This study aimed to determine the impact of opportunistic salpingectomy as an alternative tubal ligation and routine salpingectomy at the time of hysterectomy on ovarian cancer mortality and overall cost. STUDY DESIGN: An 8-state Markov state transition model was constructed, including hysterectomy, tubal ligation, and ovarian cancer. Transition probabilities were informed by previously reported population data and include age-adjusted rates of elective sterilization and hysterectomy. This model was used to predict ovarian cancer incidence and the cost effectiveness of opportunistic salpingectomy. Testing of this model suggested that it accurately predicted overall life expectancy and closely predicted the rate of hysterectomy in the population. The model may underestimate the rate of tubal sterilization, making it conservative with respect to the benefits of salpingectomy. RESULTS: The recursive Markov model was run from ages 20 to 85 years in 1-year intervals with a half step correction and included age-adjusted rates of tubal ligation, hysterectomy (with and without oophorectomy), and ovarian cancer. The model predicts that opportunistic salpingectomy at the time of tubal ligation will reduce ovarian cancer mortality by 8.13%. Opportunistic salpingectomy at the time of hysterectomy will reduce ovarian cancer mortality by 6.34% for a combined decrease of 14.5%. Both strategies are cost effective when considering only the cost of the opportunistic salpingectomy. The excess cost of opportunistic salpingectomy at the time of tubal ligation was $433.91 with an incremental cost-effective ratio of $6401 per life-year and $5469 per quality-adjusted life year gained when adjusting for ovarian cancer with a utility of 0.64. The incremental cost-effective ratio for opportunistic salpingectomy during hysterectomy at a cost of $124.70 was $2006 per life-year and $1667 per quality-adjusted life year. When considering the impact of ovarian cancer prevention with respect to the cost of ovarian cancer treatment, opportunistic salpingectomy may produce a substantial healthcare savings. Utilizing a 3% discount rate, it is estimated that the total savings for universal salpingectomy could be as high as $445 million annually in the United States. A sensitivity analysis around the benefit of opportunistic salpingectomy suggests that this procedure will be cost effective even if salpingectomy provides only a modest reduction in the risk of ovarian cancer. CONCLUSION: It is estimated that universal opportunistic salpingectomy may prevent 1854 deaths per year from ovarian cancer and may reduce healthcare costs. Given these data, universal opportunistic salpingectomy should be considered at the time of tubal ligation and hysterectomy and covered by third-party payers.


Asunto(s)
Carcinoma Epitelial de Ovario/prevención & control , Cesárea/métodos , Costos de la Atención en Salud , Histerectomía/métodos , Neoplasias Ováricas/prevención & control , Procedimientos Quirúrgicos Profilácticos/métodos , Salpingectomía/métodos , Esterilización Tubaria/métodos , Adolescente , Adulto , Anciano , Carcinoma Epitelial de Ovario/economía , Carcinoma Epitelial de Ovario/mortalidad , Análisis Costo-Beneficio , Femenino , Humanos , Cobertura del Seguro/economía , Seguro de Salud/economía , Cadenas de Markov , Persona de Mediana Edad , Neoplasias Ováricas/economía , Neoplasias Ováricas/mortalidad , Procedimientos Quirúrgicos Profilácticos/economía , Años de Vida Ajustados por Calidad de Vida , Salpingectomía/economía , Adulto Joven
2.
BMC Public Health ; 20(1): 1244, 2020 Aug 17.
Artículo en Inglés | MEDLINE | ID: mdl-32807139

RESUMEN

BACKGROUND: Ovarian cancer is a silent and largely asymptomatic cancer, leading to late diagnosis and worse prognosis. The late-stage detection and low survival rates, makes the study of the space-time evolution of ovarian cancer particularly relevant. In addition, research of this cancer in small areas (like provinces or counties) is still scarce. METHODS: The study presented here covers all ovarian cancer deaths for women over 50 years of age in the provinces of Spain during the period 1989-2015. Spatio-temporal models have been fitted to smooth ovarian cancer mortality rates in age groups [50,60), [60,70), [70,80), and [80,+), borrowing information from spatial and temporal neighbours. Model fitting and inference has been carried out using the Integrated Nested Laplace Approximation (INLA) technique. RESULTS: Large differences in ovarian cancer mortality among the age groups have been found, with higher mortality rates in the older age groups. Striking differences are observed between northern and southern Spain. The global temporal trends (by age group) reveal that the evolution of ovarian cancer over the whole of Spain has remained nearly constant since the early 2000s. CONCLUSION: Differences in ovarian cancer mortality exist among the Spanish provinces, years, and age groups. As the exact causes of ovarian cancer remain unknown, spatio-temporal analyses by age groups are essential to discover inequalities in ovarian cancer mortality. Women over 60 years of age should be the focus of follow-up studies as the mortality rates remain constant since 2002. High-mortality provinces should also be monitored to look for specific risk factors.


Asunto(s)
Factores de Edad , Mortalidad/tendencias , Neoplasias Ováricas/mortalidad , Anciano , Femenino , Disparidades en el Estado de Salud , Humanos , Persona de Mediana Edad , Factores de Riesgo , España/epidemiología , Análisis Espacio-Temporal , Tasa de Supervivencia
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