Risk of de novo cancer after premenopausal bilateral oophorectomy

The Optimal Age for Oophorectomy in Women with Benign Conditions: A Narrative Review

Objective: Oophorectomy is a common procedure for benign uterine conditions, historically recommended for women aged 40-45 and older due to the belief that ovarian preservation had no significant benefits. This review evaluates the literature on the optimal age for oophorectomy in women with benign conditions to assess its risks and benefits and guide clinical decision-making. Methods: A narrative review was conducted using a literature search of articles published between January 2000 and February 2025, focusing on the age-related outcomes of ovarian conservation versus removal. Results: Oophorectomy remains a complex decision in gynecological surgeries, especially among perimenopausal and postmenopausal women. Evidence supports ovarian conservation in average-risk women, highlighting reduced risks of cardiovascular disease, osteoporosis, and all-cause mortality. Conversely, oophorectomy is favored in high-risk populations, such as BRCA mutation carriers, due to significantly lower risks of ovarian and breast cancers. Despite declining rates, unnecessary oophorectomies persist, influenced by age, socioeconomic status, comorbidities, and surgical approaches. The development of a risk stratification tool offers promise for improving individualized decision-making. Conclusions: The decision to perform oophorectomy for benign conditions should be personalized, balancing patient-specific factors to optimize outcomes and long-term health benefits.

Excess morbidity and mortality associated with underuse of estrogen replacement therapy in premenopausal women who undergo surgical menopause

BACKGROUND

Contrary to clinical guidelines, there has been a decrease over time in estrogen therapy use in premenopausal women undergoing bilateral oophorectomy for benign indications.

OBJECTIVE

This study aimed to estimate the excess morbidity and mortality associated with current patterns of estrogen therapy use in women who undergo bilateral oophorectomy with hysterectomy for benign indications.

STUDY DESIGN

We developed 2 Bayesian sampling Markov state-transition models to estimate the excess disease incidence (incidence model) and mortality (mortality model). The starting cohort for both models were women who had undergone bilateral oophorectomy with hysterectomy for benign indications at the age of 45 to 49 years. The models tracked outcomes in 5-year intervals for 25 years. The incidence model estimated excess incidence of breast cancer, lung cancer, colorectal cancer, coronary heart disease, and stroke, whereas the mortality model estimated excess mortality due to breast cancer, lung cancer, coronary heart disease, and all-other-cause mortality. The models compared current rates of estrogen therapy use with optimal (100%) use and calculated the mean difference in each simulated outcome to determine excess disease incidence and death.

RESULTS

By 25 years after bilateral oophorectomy with hysterectomy, there were an estimated 94 (95% confidence interval, -158 to -23) fewer colorectal cancer cases, 658 (95% confidence interval, 339-1025) more coronary heart disease cases, and 881 (95% confidence interval, 402-1483) more stroke cases. By 25 years after bilateral oophorectomy with hysterectomy, there were an estimated 189 (95% confidence interval, 59-387) more breast cancer deaths, 380 (95% confidence interval, 114-792) more coronary heart disease deaths, and 759 (95% confidence interval, 307-1527) more all-other-cause deaths. In sensitivity analyses where we defined estrogen therapy use as a duration of >2 years of use, these differences increased >2-fold.

CONCLUSION

Underuse of estrogen therapy in premenopausal women who undergo oophorectomy is associated with substantial excess morbidity and mortality.

Long-term outcomes of hysterectomy with bilateral salpingo-oophorectomy: a systematic review and meta-analysis

OBJECTIVE

This study aimed to provide an up-to-date systematic review of "the long-term outcomes of bilateral salpingo-oophorectomy at the time of hysterectomy" and perform a meta-analysis for the reported associations.

DATA SOURCES

Our study updated a previous systematic review by searching the literature using PubMed, Web of Science, and Embase for publications between January 2015 and August 2022.

STUDY ELIGIBILITY CRITERIA

Our study included studies of women who had a hysterectomy with bilateral salpingo-oophorectomy vs women who had a hysterectomy with ovarian conservation or no surgery.

METHODS

The quality of the evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluations. Adjusted hazard ratios were extracted and combined to obtain fixed effect estimates.

RESULTS

Compared with hysterectomy or no surgery, hysterectomy with bilateral salpingo-oophorectomy in young women was associated with decreased risk of breast cancer (hazard ratio, 0.78; 95% confidence interval, 0.73-0.84) but with an increased risk of colorectal cancer (hazard ratio, 1.27; 95% confidence interval, 1.10-1.47). In addition, it was associated with an increased risk of total cardiovascular diseases, coronary heart disease, and stroke with hazard ratios of 1.18 (95% confidence interval, 1.11-1.25), 1.17 (95% confidence interval, 1.10-1.25), and 1.20 (95% confidence interval, 1.10-1.31), respectively. Compared with no surgery, hysterectomy with bilateral salpingo-oophorectomy before the age of 50 years was associated with an increased risk of hyperlipidemia (hazard ratio, 1.44; 95% confidence interval, 1.25-1.65), diabetes mellitus (hazard ratio, 1.16; 95% confidence interval, 1.09-1.24), hypertension (hazard ratio, 1.13; 95% confidence interval, 1.06-1.20), dementia (hazard ratio, 1.70; 95% confidence interval, 1.07-2.69), and depression (hazard ratio, 1.39; 95% confidence interval, 1.22-1.60). The evidence on the association with all-cause mortality in young women showed substantial heterogeneity between the studies (I2=85%; P<.01).

CONCLUSION

Hysterectomy with bilateral salpingo-oophorectomy was associated with multiple long-term outcomes. The benefits of the addition of bilateral salpingo-oophorectomy to hysterectomy should be balanced against the risks.

Nomograms constructed for predicting diagnosis and prognosis in cervical cancer patients with second primary malignancies: a SEER database analysis

PURPOSE

Cervical cancer (CC) patients are more likely to develop second primary malignancies (SPMs) than general population. With the advancement in cancer therapy, CC patients are achieving long-term survival, leading SPMs to our attention. Our study aims to establish diagnostic and prognostic nomograms for CC patients with second primary malignancies (CCSPMs) to help make personalized follow-up plans and treatments.

METHODS

Data of CCSPMs between 2000 and 2019 was extracted from SEER. The proportions and the median interval time of CCSPM onset were calculated. 11 related clinical characteristics, including age, race, marital status, grade, FIGO stage, radiotherapy, chemotherapy, and surgery, were further explore. Logistic and Cox regressions were employed to predict risk factors for CCSPMs diagnosis. Finally, two nomograms were developed to predict the probability occurrence and prognosis of CCSPMs, respectively.

RESULTS

For diagnostic nomogram construction, 59,178 CC patients were randomly divided into training (n = 41,426) and validation cohorts (n = 17,752). For prognostic nomogram construction, 3527 CCSPMs patients were randomly divided into training (n = 2469) and validation cohorts (n = 1058). The diagnostic nomogram consisting of above 11 independent risk factors (all P < 0.05), had high accuracy (AUCtraining = 0.851 and AUCvalidating = 0.845). The prognostic nomogram integrated with eight independent prognostic factors such as treatments, FIGO stage and TNM stage performed well in predicting 5-year OS (AUCtraining = 0.835 and AUCvalidating = 0.837).

CONCLUSION

Our diagnostic and prognostic nomograms could facilitate clinicians to quantify individual SPMs risk and survival probabilities and optimize the surveillance recommendations and personalized clinical decision-making.