Laparoscopic surgical correction of endometriosis improves fertility rates in infertile patients: a retrospective analysis of 119 cases

Background: Endometriosis is a common cause of infertility, affecting up to 50% of women with infertility. Surgery is a widely used treatment option for endometriosis, and the removal of endometriomas, nodules, and total posterior compartment peritonectomy has been shown to improve fertility rates in affected patients. The aim of the present study was to evaluate the role of laparoscopic surgical correction of endometriosis by removal of endometriomas, nodules, and total posterior compartment peritonectomy in improving rates of fertility in patients with endometriosis.Methods: A retrospective analysis of 119 patients who underwent laparoscopic surgical correction of endometriosis for infertility between May 2021 and April 2023 at Venus Women’s Hospital and IVF Center, Rajkot, India, was conducted. Inclusion criteria were documented endometriosis confirmed on Ultrasound and/or laparoscopy or accidentally detected during laparoscopy. All patients underwent laparoscopy for diagnosis confirmation. The primary outcome was pregnancy.Results: A total of 119 patients with endometriosis-related infertility were included in the study. Of the 119 patients who underwent laparoscopic surgical correction of endometriosis, 11 were lost to follow-up, leaving 108 patients for analysis. Of these, 76 patients (70.4%) conceived within one year of surgery. Of those who conceived, 34 (44.7%) did so spontaneously, without any medical treatments. A total of 42 patients (55.3%) conceived with ovulation induction only or ovulation induction with intrauterine insemination (IUI). Twenty-two patients (28.9%) underwent in vitro fertilization (IVF) and conceived, while 10 (13.2%) did not conceive with the first cycle of IVF and were still undergoing infertility treatment. The majority of patients (95%) reported relief of dysmenorrhea and dyspareunia after surgery.Conclusions: Study suggests that laparoscopic surgical correction of endometriosis by removal of endometriomas, nodules, and posterior peritonectomy can improve rates of fertility in patients with endometriosis-related infertility. The procedure was also found to be effective in relieving pain symptoms in most patients.

La fecundidad en la ciudad de Rosario, Argentina: proyecciones y retroproyecciones de la tasa global de fecundidad y las tasas específicas de fecundidad / Fertility in Rosario City, Argentina: Projections and retro-projections of the global fertility rate and specific fertility rates

Resumen El estudio que da lugar al presente artículo surge a partir de los resultados obtenidos en el marco de un convenio de colaboración firmado por la Dirección General de Estadística de la Municipalidad de Rosario y la Escuela de Estadística de la Facultad de Ciencias Económicas y Estadística de la Universidad Nacional de Rosario. Entre sus objetivos, se plantea el de obtener pronósticos probabilísticos de la fecundidad para la Ciudad de Rosario. Para ello, con base en estadísticas vitales, estimaciones y proyecciones de población se construyen escenarios probables, pasados y futuros, tanto para la tasa global de fecundidad como para las tasas específicas de fecundidad. Los resultados de este estudio, basados en la aplicación de modelos probabilísticos de pronóstico, permiten conocer estructuras y tendencias, pasadas y futuras de la fecundidad, de modo que puedan generarse diagnósticos que sean de utilidad para la evaluación y gestión del sistema de salud o bien para el desarrollo de nuevas políticas públicas. Los resultados indican que Rosario tuvo, tiene y seguirá teniendo un cambio en los patrones de fecundidad más rápido y marcado que el promedio nacional. Si bien este hecho es esperable, en un contexto signado por los avances en la salud pública, que permiten acceder a más y mejor atención en salud reproductiva, la metodología aquí empleada se basa únicamente en la extrapolación de las tendencias, por ello la retroproyección debe ser analizada cuidadosamente. Con posterioridad, en la sección metodológica, se presentan los modelos probabilísticos de pronóstico que se emplean para la obtención de resultados.

Abstract The study that gives rise to this article arises from the results obtained in the framework of a collaboration agreement signed by the Statistical Office of Rosario City and the School of Statistics of the Faculty of Economic Sciences and Statistics (National University of Rosario). Among its objectives is to obtain probabilistic fertility forecasts for Rosario City. For this, based on vital statistics, estimates and population projections, probable scenarios, past and future, are constructed, both for the global fertility rate and the specific fertility rates. The results of this study, based on the application of probabilistic prognostic models, allow to know structures and trends, past and future, of fertility, so that diagnoses can be generated that are useful for the evaluation and management of the health system or good for the development of new public policies. The results indicate that Rosario had, has and will continue to have a change in fertility patterns faster and more marked than the national average. Although this fact is to be expected in a context marked by advances in public health (which allow access to more and better reproductive health care), the methodology used here is based solely on the extrapolation of trends, therefore, the backprojection must be carefully analyzed.

Geographic Variation in Fertility Measures in Sweden in (1749-1870).

We analysed geographic variation in the number of males per 100 females at birth also called the secondary sex ratio (SR), the crude birth rate (CBR), the total fertility rate (TFR) and the twinning rate (TWR). Earlier studies have noted geographic variations in the TWR and racial differences in the SR. Statistical analyses have shown that comparisons between SRs demand large data sets because random fluctuations in moderate data are marked. Consequently, reliable results presuppose national birth data. In this study, we analysed historical demographic data and investigated the geographic variations between the counties in Sweden for the SR among the live born (1749-1869), the CBR in 1751-1870, the TFR in 1860 and the TWR in 1751-1860. We built spatial models and as regressors we used geographic co-ordinates for the residences of the counties in Sweden. The influence of the CBR and TFR on the SR and TWR was examined. For all variables, we obtained spatial variations, albeit of different patterns and power. Hence, no common spatial pattern for the demographic variables SR, TFR, CBR and TWR was detected, but a better fit was noted for TFR, CBR and TWR than for SR.