Effect of treatment delay on survival in patients with cervical cancer: a historical cohort study.

OBJECTIVE: The objective of this study was to evaluate the effect of treatment delay on prognosis in patients with cervical cancer. METHODS: The study group of this historic cohort study comprised 321 patients newly diagnosed with cervical cancer between 1999 and 2010. Time from diagnosis to treatment was analyzed both as a continuous variable and as a categorical variable in 3 groups that differed in waiting time between diagnosis and treatment initiation: 30 days or less (group 1, n = 134), 30 to 45 days (group 2, n = 86), and more than 45 days (group 3, n = 101). Associations between waiting time group, patients' characteristics, and disease outcome were investigated using t tests, analyses of variance and Cox regression analyses, Kaplan-Meier survival analysis, and log-rank (Mantel-Cox) tests. RESULTS: Time from diagnosis to treatment initiation, when analyzed as a continuous variable, was not a significant factor in survival. There were no between-group differences in age, smoking rate, marital status, gravidity, parity, tumor histology, or lymph node involvement. Early-stage disease and small tumor diameter were diagnosed most frequently in group 3. However, there was no significant between-group difference in 3-year survival rates (74.6%, 82.2%, and 80.8% in groups 1, 2, and 3, respectively; P = 0.38). On multivariate analysis, only stage, histology, and lymph node involvement were significant prognostic factors for survival. Before starting treatment, 28 patients underwent ovarian preservation procedures. CONCLUSIONS: Longer waiting time from diagnosis to treatment was not associated with worse survival. Our findings imply that if patients desire fertility or ovarian preservation procedures before starting treatment, it is acceptable to allow time for them.

Abnormal Uterine Bleeding Among COVID-19 Vaccinated and Recovered Women: a National Survey.

The objective of this research was to characterize menstrual changes including amount, duration, and frequency among COVID-19 vaccinated and infected women. We conducted an online nationwide questionnaire survey on premenopausal, non-pregnant women over 18 years of age in Israel, querying about any changes in their menstrual patterns after COVID-19 vaccination or infection. In total, 10,319 women responded, of which 7904 met the inclusion criteria. Changes in menstrual patterns following COVID-19 vaccination or infection were reported in 3689/7476 (49.3%) women compared with 202/428 (47.2%) women, respectively, (P = .387). The most commonly described menstrual disturbance was excessive bleeding (heavy, prolonged, or intermenstrual) in both the vaccinated and infected groups, (80.6% versus 81.4%, respectively, P = .720). Among women who experienced abnormal uterine bleeding (AUB), in most cases (61.1%), it occurred between the vaccination and the ensuing menstrual period. Menstrual disturbances were similar in type among the vaccinated and infected women. In conclusion, AUB emerged as a side effect of the BNT162b2 vaccine and a symptom of the COVID-19 infection and was characterized mainly by excessive bleeding. Although the precise incidence could not be determined in this study, the type of bleeding disorder as well as the characterization of risk factors including increasing age and a baseline menstrual pattern of prolonged, frequent, and heavy menses are well defined. The incidence and the long-term consequences of the BNT162b2 vaccine on uterine bleeding warrant further investigation.

Spontaneous labor patterns among women attempting vaginal birth after cesarean delivery.

OBJECTIVE: This study evaluated spontaneous labor patterns among women achieving a vaginal birth after cesarean (VBAC), without a previous vaginal delivery in relation to nulliparous women. METHODS: This historical cohort study included 422 women attempting VBAC and 150 nulliparas. We examined time intervals for each centimeter of cervical dilation and compared labor progression in 321 women who achieved spontaneous VBAC and 147 nulliparous women achieving a spontaneous vaginal delivery. Epidural anesthesia use, delivery mode, cord arterial pH and 5-minute Apgar score were also compared. FINDINGS: Women in the VBAC group compared to nulliparous women had similar durations of first (4-10 cm: 4:22 (00:54-13:10) h vs. 4:47 (1:10-15:10) h, p = .61), second (1:07 (8:00-3:21), vs. 1:34 (10:00-3:40), p = .124) and third stages of labor (10:00 (2:00-22:00) vs. 08:00 (3:24-22:12), p = .788). When comparing women who had epidural analgesia to those who did not, no differences were found between the groups regarding durations of first and second stages of labor. Interestingly, among parturients without epidural anesthesia only, the VBAC group had shorter second stage compared to the nulliparous (00:19 (0:04-1:59) vs. 00:47 (0:08-2:09), p = .023). CONCLUSION: Labor patterns among women achieving spontaneous VBAC are similar to those of nulliparous women with spontaneous vaginal deliveries.

Can Social Support on Facebook Influence Fertility Outcomes?

Social support is known to reduce stress and increase quality of life among patients undergoing IVF. Increasing social media use introduces a social support mechanism, yet data regarding the effect of this support on IVF outcomes are scarce. This observational, retrospective cohort study included women undergoing their first IVF cycle at an academic tertiary medical center. Fertility outcomes were compared between 82 women who were active users of social media (posting on Facebook at least 3 times a week) and 83 women who did not use Facebook or any other social media platform (the control group). For the social media group, we coded all Facebook Feed activities (Posts, Comments, Likes) for each participant up to 8 weeks prior to beta hCG test. Social support was measured by average Likes and Comments per post, on fertility outcomes. The social media group included more single women than the control group (17% vs. 5%, respectively, p = 0.012) and had a shorter infertility duration (1.6 ± 0.9 years vs. 2.3 ± 1.4, respectively, p = 0.001(. We found a trend in fertilization rates between groups (social media group 58% vs. controls 50%, p = 0.07). No difference was found regarding pregnancy rate between groups (p = 0.587). The social media group had a lower miscarriage rate compared to the controls (6% vs. 25%, p = 0.042). These results were also validated in the multivariant regression analysis. Social support (via Facebook) may have a positive effect on IVF outcomes, especially regarding miscarriages rate, with minor effect regrading fertilization rate and no effect regarding pregnancy rate. Therefore, encouraging women to be active on Facebook during treatment, including OPU day, may impact treatment results.