Utilization and Surgical Outcomes of Sentinel Lymph Node Biopsy for Endometrial Intraepithelial Neoplasia.

OBJECTIVE: To describe the rate and surgical outcomes of sentinel lymph node (SLN) biopsy in patients with endometrial intraepithelial neoplasia (EIN). METHODS: We conducted a cohort study that used the prospective American College of Surgeons National Surgical Quality Improvement Program database. Women with EIN on postoperative pathology who underwent minimally invasive hysterectomy from 2012 to 2020 were included. The cohort was dichotomized based on the performance of SLN biopsy. Patients' characteristics, perioperative morbidity, and mortality were compared between patients who underwent SLN biopsy and those who did not. Postoperative complications were defined using the Clavien-Dindo classification system. RESULTS: Overall, 4,447 patients were included; of those, 586 (13.2%) underwent SLN biopsy. The proportion of SLN biopsy has increased steadily from 0.6% in 2012 to 26.1% in 2020 (P<.001), with a rate of 16% increase per year. In a multivariable regression that included age, body mass index (BMI), and year of surgery, a more recent year of surgery was independently associated with an increased adjusted odds ratio of undergoing SLN biopsy (1.51, 95% CI, 1.43-1.59). The mean total operative time was longer in the SLN biopsy group (139.50±50.34 minutes vs 131.64±55.95 minutes, P=.001). The rate of any complication was 5.9% compared with 6.7%, the rate of major complications was 2.3% compared with 2.4%, and the rate of minor complications was 4.1% compared with 4.9% for no SLN biopsy and SLN biopsy, respectively. In a single complications analysis, the rate of venous thromboembolism was higher in the SLN biopsy group (four [0.7%] vs four [0.1%], P=.013). In a multivariable regression analysis adjusted for age, BMI, American Society of Anesthesiologists classification, uterus weight, and preoperative hematocrit, the performance of SLN biopsy was not associated with any complications, major complications, or minor complications. CONCLUSION: The performance of SLN biopsy in EIN is increasing. Sentinel lymph node biopsy for EIN is associated with an increased risk of venous thromboembolism and a negligible increased surgical time.

Association between BMI and oncologic outcomes in epithelial ovarian cancer: a predictors-matched case-control study.

OBJECTIVE: We aimed to study the association between obesity and survival in ovarian cancer (OC) patients, accounting for confounders as disease stage, histology, and comorbidities. METHODS: Retrospective matched case-control study of consecutive patients, with epithelial OC. Obese (body mass index [BMI] ≥ 35 kg m-2) patients were matched in a 1:4 ratio with patients having lower BMIs (BMI < 35 kg m-2) based on disease stage, cytoreduction state, tumor histology and ASA score. We compared the 3-year and total recurrence-free survival and overall survival through Kaplan-Meier survival curves and Cox proportional hazards. RESULTS: Overall, 153 consecutive patients were included, of whom 32 (20.9%) had a BMI ≥ 35. and 121 a BMI < 35. The median follow-up time was 39 months (interquartile range 18-67). Both study groups were similar in multiple prognostic factors, including American Society of Anesthesiologists physical status, completion of cytoreduction, histology and stage of disease (p = 0.981, p = 0.992, p = 0.740 and p = 0.984, respectively). Ninety-five (62.1%) patients underwent robotic surgery and conversion rate from robotic to laparotomy was similar in both groups 2 (6.3%) in obese group vs. 6 (5.0%) in lower BMI patients, p = 0.673. During the follow-up time, the rate of recurrence was similar in both groups; 21 (65.6%) in obese group vs. 68 (57.1%), p = 0.387 and the rate of death events was similar; 16 (50.0%) in obese group vs. 49 (40.5%), p = 0.333). The 3-year OS was higher in the obese group (log rank p = 0.042) but the 3-year RFS was similar in both groups (log rank p = 0.556). Median total OS was similar in both groups 62 months (95% confidence interval 25-98 months) in obese vs. 67 months (95% confidence interval 15-118) in the lower BMI group, log rank p = 0.822. Median RFS was similar in both groups; 61 months (95% confidence interval 47-74) in obese, vs. 54 (95% confidence interval 43-64), log rank p = 0.842. In Cox regression analysis for OS, including obesity, age, laparotomy and neoadjuvant treatment - only neoadjuvant treatment was independently associated with longer OS: odds ratio 1.82 (95% confidence interval 1.09-3.05) and longer RFS: odds ratio 2.16 (95% confidence interval 1.37-3.41). CONCLUSIONS: In the present study on consecutive cases of ovarian cancer, obesity did not seem to be associated with outcome, except for an apparent improved 3-year survival that faded away thereafter.

Gynecologic oncology robot-assisted surgery in octogenarians: Impact of age on hospital stay.

OBJECTIVE: To compare postoperative stay in octogenarians and younger patients undergoing gynecologic oncology robot-assisted surgery. METHODS: A retrospective review of robot-assisted surgery in Gynecological Oncology division during 2019-2022. We included all consecutive cases. Octogenarians (age ≥80 years) and younger patients were investigated by univariable analysis for characteristics and outcome. RESULTS: A total of 816 robot-assisted surgeries were performed, 426 (52.2%) endometrial cancer, 159 (19.5%) ovarian cancer, 27 (3.3%) cervical cancer, 35 (4.3%) endometrial intraepithelial neoplasia, and in 169 (20.7%) the final pathology was benign. There were 60 (7.4%) octogenarians and 756 (92.6%) younger patients. The proportion of patients with an American Society of Anesthesiology score greater than 2 was higher among octogenarians (66.7% vs 32.0%, P < 0.001). The median console time, surgical time, and total operation theater time were similar between groups (P = 0.303, P = 0.643 and P = 0.688, respectively). Conversion rate did not differ between groups (0.4% among younger patients vs 0% in octogenarians, P > 0.99). The median length of stay in the recovery room was similar in both groups (median 170 min, interquartile range [IQR] 125-225 min vs 170 min, IQR 128-240 min in octogenarians, P = 0.731). Length of hospital stay was similar in both age groups; median 1 day (IQR 1-1) among octogenarians versus 1 (0-1) in younger patients (P = 0.136). CONCLUSION: Octogenarians undergoing robotic surgery have no increased risk of length of stay or conversion to laparotomy compared with younger patients.

24-Hour Compared With 12-Hour Mifepristone-Misoprostol Interval for Second-Trimester Abortion: A Randomized Controlled Trial.

OBJECTIVE: To compare 24-hour and 12-hour mifepristone-to-misoprostol intervals for second-trimester medication abortion. METHODS: We conducted a prospective randomized controlled trial. Participants were allocated to receive mifepristone either 24 hours or 12 hours before misoprostol administration. The primary outcome was the time from the first misoprostol administration to abortion (induction time). Secondary outcomes included the time from mifepristone to abortion (total abortion time); fetal expulsion percentages at 12, 24, and 48 hours after the first misoprostol dose; side effects proportion; and pain and satisfaction scores. A sample size of 40 per group (N=80) was planned to compare the 24- and 12-hour regimens. RESULTS: Eighty patients were enrolled between July 2020 and June 2023, with 40 patients per group. Baseline characteristics were comparable between groups. Median induction time was 9.5 hours (95% CI, 10.3-17.8 hours) and 12.5 hours (95% CI, 13.5-20.2 hours) in the 24- and 12-hour interval arms, respectively (P=.028). Median total abortion time was 33.0 hours (95% CI, 34.2-41.9 hours) and 24.5 hours (95% CI, 25.7-32.4 hours) in the 24- and 12-hour interval groups, respectively (P<.001). At 12 hours from misoprostol administration, 25 patients (62.5%) in the 24-hour arm and 18 patients (45.0%) in the 12-hour arm completed abortion (P=.178). At 24 hours from misoprostol administration, 36 patients (90.0%) in the 24-hour arm and 30 patients (75.0%) in the 12-hour arm had complete abortion (P=.139). The need for additional medication or surgical treatment for uterine evacuation, pain scores, side effects, and satisfaction levels were not different between groups. CONCLUSION: A 24-hour mifepristone-to-misoprostol regimen for medication abortion in the second trimester provides a median 3-hour shorter induction time compared with the 12-hour interval. However, the median total abortion time was 8.5-hours longer in the 24-hour interval regimen. These findings can aid in shared decision making before medication abortion in the second trimester. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT04160221.

Interleukine-10 in ovarian cancer.

Interleukins serve as communicating molecules between cells, mediating key interactions in the tumor microenvironment (TME) between immune cells and non-immune cells. Interleukin-10 (IL-10), a multifunctional cytokine with multiple properties, has been extensively studied in various aspects of immunology and cancer biology. IL-10 is pleiotropic, promotes cytotoxicity, yet inhibits antitumorresponses. In recent years, the role of IL-10 in ovarian cancer (OC) progression and treatment has gained significant scientific attention, elucidating the signaling pathways triggered by IL-10 action. OC, the leading cause of gynecologic cancer-related deaths, is characterized by ascites, which hosts an intricate TME that is not responsive to treatment by immune checkpoint inhibition. IL-10, known for its immunosuppressive and anti-inflammatory properties, plays a complex role in OC progression, immune modulation, and therapeutic response and has a potential therapeutic property as a target and as an effector. As the literature of basic science research studying the role of IL-10 in the TME of OC scopes a few decades and some data is contrasting, it is important to review the literature and provide concise input derived from it. This review aims to provide a comprehensive overview of the current understanding of IL-10 in OC, highlighting its influence on tumor growth, immune evasion, and potential as a therapeutic target.

Race, Ethnicity, and Sex Representation Trends Among Minimally Invasive Gynecologic Surgery Fellowship Trainees and Graduates.

STUDY OBJECTIVE: To study the race, ethnicity, and sex representation and annual trends of AAGL FMIGS fellows and graduates. DESIGN: A retrospective cross-sectional study. SETTING: AAMC databases were queried for demographic information between 2011 and 2023. PATIENTS/SUBJECTS: AAGL FMIGS fellows and graduates. INTERVENTIONS: N/A MEASUREMENTS AND MAIN RESULTS: Descriptive statistical analysis and the actual-to-expected (AE) ratio of each race, ethnicity, and sex were performed. AE ratio was calculated by dividing the 13-year average actual percentage of FMIGS trainees and graduates by the expected percentage based demographics of OBGYN residents and the US general population. 477 fellows graduated or were in training between 2011 and 2023; race and ethnicity information was obtained for 347 (72.7%) individuals, and sex information was available for 409 (85.7%). Representation of females ranged from 66.7% in 2017 to 93.3% in 2022. There was a significantly increasing slope for the representation of females (+1.3% per year; 95% CI 0.00-0.03; p = .027). Compared to their distribution among US OBGYN residents, White fellows' representation was lower [AE ratio, 95% CI 0.60 (0.44-0.81)] and of Asian fellows was higher [AE ratio, 95% CI 2.17 (1.47-3.21)]. Female fellows' representation was lower than expected [AE ratio, 95% CI 0.68 (0.48-0.96)] compared to their distribution among US OBGYN residents. Compared to the general US population, White fellows [AE ratio, 95% CI 0.65 (0.48-0.87)] and Hispanic fellows [AE ratio, 95% CI 0.53 (0.34-0.83)] representation was lower. Asian fellows' representation was higher compared to the general US population [AE ratio, 95% CI 5.87 (3.48-9.88)]. CONCLUSION: White and Hispanic fellows' representation was lower than expected, while Asian fellows' representation was higher in AAGL-accredited FMIGS programs. Female representation increased throughout the years, but overall, female fellows' representation was lower than expected compared to their distribution among OBGYN residents. These findings may help develop equitable recruitment strategies for FMIGS programs and reduce health disparities within complex gynecology.

Association of reviewer experience with discriminating human-written versus ChatGPT-written abstracts.

OBJECTIVE: To determine if reviewer experience impacts the ability to discriminate between human-written and ChatGPT-written abstracts. METHODS: Thirty reviewers (10 seniors, 10 juniors, and 10 residents) were asked to differentiate between 10 ChatGPT-written and 10 human-written (fabricated) abstracts. For the study, 10 gynecologic oncology abstracts were fabricated by the authors. For each human-written abstract we generated a ChatGPT matching abstract by using the same title and the fabricated results of each of the human generated abstracts. A web-based questionnaire was used to gather demographic data and to record the reviewers' evaluation of the 20 abstracts. Comparative statistics and multivariable regression were used to identify factors associated with a higher correct identification rate. RESULTS: The 30 reviewers discriminated 20 abstracts, giving a total of 600 abstract evaluations. The reviewers were able to correctly identify 300/600 (50%) of the abstracts: 139/300 (46.3%) of the ChatGPT-generated abstracts and 161/300 (53.7%) of the human-written abstracts (p=0.07). Human-written abstracts had a higher rate of correct identification (median (IQR) 56.7% (49.2-64.1%) vs 45.0% (43.2-48.3%), p=0.023). Senior reviewers had a higher correct identification rate (60%) than junior reviewers and residents (45% each; p=0.043 and p=0.002, respectively). In a linear regression model including the experience level of the reviewers, familiarity with artificial intelligence (AI) and the country in which the majority of medical training was achieved (English speaking vs non-English speaking), the experience of the reviewer (ß=10.2 (95% CI 1.8 to 18.7)) and familiarity with AI (ß=7.78 (95% CI 0.6 to 15.0)) were independently associated with the correct identification rate (p=0.019 and p=0.035, respectively). In a correlation analysis the number of publications by the reviewer was positively correlated with the correct identification rate (r28)=0.61, p<0.001. CONCLUSION: A total of 46.3% of abstracts written by ChatGPT were detected by reviewers. The correct identification rate increased with reviewer and publication experience.

Gynecologic perivascular epithelioid cell tumors (PEComas): a review of recent evidence.

Gynecologic perivascular epithelioid cell (PEC) tumors, or 'PEComas,' represent a rare and intriguing subset of tumors within the female reproductive tract. This systematic literature review aims to provide an updated understanding of gynecologic PEComas based on available literature and data. Although PEComa is rare, there are varied tumor-site presentations across gynecologic organs, with uterine PEComas being the most prevalent. There is scarce high-quality literature regarding gynecologic PEComa, and studies on malignant PEComa underscore the challenges in diagnosis. Among the diverse mutations, mTOR alterations are the most prominent. Survival analysis reveals a high rate of local recurrence and metastatic disease, which commonly affects the lungs. Treatment strategies are limited, however mTOR inhibitors have pivotal role when indicated and chemotherapy may also be used. with some cases demonstrating promising responses. The paucity of data underscores the need for multicentric studies, an international registry for PEComas, and standardized reporting in case series to enhance clinical and pathological data.

The value of multicenter collaboration in Gynecologic Oncology research.

INTRODUCTION: Canadian gynecological oncology (GYNONC) is constantly evolving. We aim to study the patterns in Canadian GYNONC research using a systematic search approach and bibliometric analysis. EVIDENCE ACQUISITION: We used Web of Science to identify all relevant publications in the field of GYNONC by Canadian. We analyzed bibliometric data obtained from the iCite database. Publications were evaluated for specific characteristics including the province of all co-authors. We compared bibliometric metrics among provinces. EVIDENCE SYNTHESIS: Overall, 1511 publications, published in 138 different journals during 1973-2022 were analyzed. Of those, 23.5% (N.=355) were of interprovincial origin. Interprovincial publications were constantly increasing, now reaching 34.1%. Publications of interprovincial setting had higher RCR, CPY, FCR and NIH percentile scores when compared to any single province (P=0.009, P>0.001, P<0.001, and P<0.001, respectively). The proportion of publications in high impact factor journals were higher in the interprovincial setting: 35 (9.9%) vs. 48 (4.2%), P<0.001. Excluding the interprovincial publications there were 1156 publications. Half of the publications were authored by authors from Ontario (N.=587, 50.6%), 278 (24.1%) by authors from Quebec, and 161 (14.0%) by authors from British Columbia. The mean FCR was higher in British Columbia as compared to Ontario, Quebec and Manitoba (6.0±2.1 vs. 5.3±2.1, 5.3±1.5, and 4.1±3.0 respectively; P=0.006, P=0.034, and 0.037, respectively). Only Ontario, Quebec, British Columbia and Alberta had publications in high impact factor journals, with similar rate (P=0.806). CONCLUSIONS: Interprovincial publications have the highest citation metrics in all domains. This underscores the importance of collaboration for the purpose of impactful research.

Clinical Trial Racial and Ethnic Disparities in Minimally Invasive Gynecologic Surgery.

STUDY OBJECTIVE: To study racial and ethnic disparities in randomized controlled trials (RCTs) in minimally invasive gynecologic surgery (MIGS). DESIGN: Cross-sectional study. SETTING: Online review of all published MIGS RCTs in high-impact journals from 2012 to 2023. PATIENTS: Journals included all first quartile obstetrics and gynecology journals, as well as The New England Journal of Medicine, The Lancet, The British Medical Journal, and The Journal of the American Medical Association. The National Institutes of Health's PubMed and the ClinicalTrials.gov websites were queried using the following search terms from the American Board of Obstetrics and Gynecology's certifying examination bulletin 2022 to obtain relevant trials: adenomyosis, adnexal surgery, abnormal uterine bleeding, cystectomy, endometriosis, fibroids, gynecology, hysterectomy, hysteroscopy, laparoscopy, leiomyoma, minimally invasive gynecology, myomectomy, ovarian cyst, and robotic surgery. INTERVENTIONS: The US Census Bureau data were used to estimate the expected number of participants. We calculated the enrollment ratio (ER) of actual to expected participants for US trials with available race and ethnicity data. MEASUREMENTS AND MAIN RESULTS: A total of 352 RCTs were identified. Of these, race and/or ethnicity data were available in 65 studies (18.5%). We analyzed the 46 studies that originated in the United States, with a total of 4645 participants. Of these RCTs, only 8 (17.4%) reported ethnicity in addition to race. When comparing published RCT data with expected proportions of participants, White participants were overrepresented (70.8% vs. 59.6%; ER, 1.66; 95% confidence interval [CI], 1.52-1.81), as well as Black or African American participants (15.4% vs. 13.7%; ER, 1.15; 95% CI, 1.03-1.29). Hispanic (6.7% vs. 19.0%; ER, 0.31; 95% CI, 0.27-0.35), Asian (1.7% vs. 6.1%; ER, 0.26; 95% CI, 0.20-0.34), Native Hawaiian or other Pacific Islander (0.1% vs. 0.3%; ER, 0.21; 95% CI, 0.06-0.74), and Indian or Alaska Native participants (0.2% vs. 1.3%; ER, 0.16; 95% CI, 0.08-0.32) were underrepresented. When comparing race/ethnicity proportions in the 20 states where the RCTs were conducted, Black or African American participants were underrepresented. CONCLUSION: In MIGS RCTs conducted in the United States, White and Black or African American participants are overrepresented compared with other races, and ethnicity is characterized in fewer than one-fifth of trials. Efforts should be made to improve racial and ethnic recruitment equity and reporting in future MIGS RCTs.

Associations between race and ethnicity and perioperative outcomes among women undergoing hysterectomy for adenomyosis.

OBJECTIVE: To study racial and ethnic disparities among women undergoing hysterectomy performed for adenomyosis across the United States. DESIGN: A cohort study. SETTING: Data from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) from 2012-2020. PATIENTS: Patients with an adenomyosis diagnosis. INTERVENTION: Hysterectomy for adenomyosis. MAIN OUTCOME MEASURES: Patients were identified using the International Classification of Diseases 9th and 10th editions codes 617.0 and N80.0 (endometriosis of the uterus). Hysterectomies were classified on the basis of the Current Procedural Terminology codes. We compared baseline and surgical characteristics and 30-day postoperative complications across the different racial and ethnic groups. Postoperative complications were classified into minor and major complications according to the Clavien-Dindo classification system. RESULTS: A total of 12,599 women underwent hysterectomy for adenomyosis during the study period: 8,822 (70.0%) non-Hispanic White, 1,597 (12.7%) Hispanic, 1,378 (10.9%) non-Hispanic Black or African American, 614 (4.9%) Asian, 97 (0.8%) Native Hawaiian or Pacific Islander, and 91 (0.7%) American Indian or Alaska Native. Postoperative complications occurred in 8.8% of cases (n = 1,104), including major complications in 3.1% (n = 385). After adjusting for confounders, non-Hispanic Black race and ethnicity were independently associated with an increased risk of major complications (adjusted odds ratio 1.54, 95% confidence interval [CI] {1.16-2.04}). Laparotomy was performed in 13.7% (n = 1,725) of cases. Compared with non-Hispanic White race and ethnicity, the adjusted odd ratios for undergoing laparoscopy were 0.58 (95% CI 0.50-0.67) for Hispanic, 0.56 (95% CI 0.48-0.65) for non-Hispanic Black or African American, 0.33 (95% CI 0.27-0.40) for Asian, and 0.26 (95% CI 0.17-0.41) for Native Hawaiian or Pacific Islander race and ethnicity. CONCLUSION: Among women undergoing hysterectomy for postoperatively diagnosed adenomyosis, non-Hispanic Black or African American race and ethnicity were associated with an increased risk of major postoperative complications. Compared with non-Hispanic White race and ethnicity, Hispanic ethnicity, non-Hispanic Black or African American, Asian, Native Hawaiian, or Pacific Islander race and ethnicity were less likely to undergo minimally invasive surgery.

Characteristics associated with blood transfusion among women undergoing laparoscopic myomectomy: a National Surgical Quality Improvement Program study.

BACKGROUND: Uterine fibroids are the most common benign tumors that affect females. A laparoscopic myomectomy is the standard surgical treatment for most women who wish to retain their uterus. The most common complication of a myomectomy is excessive bleeding. However, risk factors for hemorrhage during a laparoscopic myomectomy are not well studied and no risk stratification tool specific for identifying the need for a blood transfusion during a laparoscopic myomectomy currently exists in the literature. OBJECTIVE: This study aimed to identify risk factors for intraoperative and postoperative blood transfusion during laparoscopic myomectomies and to develop a risk stratification tool to determine the risk for requiring a blood transfusion. STUDY DESIGN: This was a retrospective cohort study of the American College of Surgeons National Surgical Quality Improvement Program database from 2012 to 2020. Women who underwent a laparoscopic (conventional or robotic) myomectomy were included. Women who received 1 or more blood transfusions within 72 hours after the start time of a laparoscopic myomectomy were compared with those who did not require a blood transfusion. A multivariable analysis was performed to identify risk factors independently associated with the risk for transfusion. Two risk stratification tools to determine the need for a blood transfusion were developed based on the multivariable results, namely (1) based on preoperative factors and (2) based on preoperative and intraoperative factors. RESULTS: During the study period, 11,498 women underwent a laparoscopic myomectomy. Of these, 331(2.9%) required a transfusion. In a multivariable regression analysis of the preoperative factors, Black or African American and Asian races, Hispanic ethnicity, bleeding disorders, American Society of Anesthesiologists class III or IV classification, and a preoperative hematocrit value ≤35.0% were independently associated with the risk for transfusion. Identified intraoperative factors included specimen weight >250 g or ≥5 intramural myomas and an operation time of ≥197 minutes. A risk stratification tool was developed in which points are assigned based on the identified risk factors. The mean probability of transfusion can be calculated based on the sum of the points. CONCLUSION: We identified preoperative and intraoperative independent risk factors for a blood transfusion among women who underwent a laparoscopic myomectomy. A risk stratification tool to determine the risk for requiring a blood transfusion was developed based on the identified risk factors. Further studies are needed to validate this tool.

The impact of body mass index on robotic surgery outcomes in endometrial cancer.

OBJECTIVES: To compare surgical outcomes of patients with endometrial cancer who underwent robotic surgery across different BMI categories. METHODS: A retrospective study including all consecutive patients with endometrial cancer who underwent robotic surgery at a tertiary cancer center between December 2007 and December 2022. The study analyzed outcome measures, including blood loss, surgical times, length of hospitalization, perioperative complications, and conversion rates with the Kruskal-Wallis test for BMI group differences and the Chi-squared test for associations between categorical variables. RESULTS: A total of 1329 patients with endometrial cancer were included in the study. Patients were stratified by BMI: <30.0 (n = 576; 43.3%), 30.0-39.9 (n = 449; 33.8%), and ≥ 40.0 (n = 304; 22.9%). There were no significant differences in post-anesthesia care unit (PACU) stay (p = 0.105) and hospital stay (p = 0.497) between the groups. The rate of post-op complications was similar across the groups, ranging from 8.0% to 9.5% (p = 0.761). The rate of conversion to laparotomy was also similar across the groups, ranging from 0.7% to 1.0% (p = 0.885). Women with a BMI ≥40.0 had a non-clinically relevant but greater median estimated blood loss (30 mL vs. 20 mL; p < 0.001) and longer median operating room (OR) time (288 min vs. 270 min; p < 0.001). Within the OR time, the median set-up time was longer for those with a higher BMI (58 min vs. 50 min; p < 0.001). However, skin-to-skin time (209 min vs. 203 min; p = 0.202) and post-op time (14 min vs. 13 min; p = 0.094) were comparable between groups. CONCLUSION: BMI does not affect the peri-operative outcome of patients undergoing robotic staging procedures for endometrial cancer.

Open access transition in obstetrics and gynecology journals-The international impact.

OBJECTIVE: To study the impact of converting from subscription-based publishing to open access ("flipping") in three obstetrics and gynecology (OBGYN) journals. METHODS: We compared original articles in three OBGYN journals during a matched subscription-based and open access publishing period. We analyzed citation metrics and country of authorship. RESULTS: Overall, 1522 studies were included; of those, 869 (57.1%) were before flipping and 653 (42.9%) were after flipping. There was a decrease in publications by lower-middle income countries from 7.7% in subscription-based publishing to 1.8% in open access (P < 0.001). There was a decrease in the proportion of articles from South Asia (2.5% vs 0.5%), North America (14.4% vs 9.4%), and the Middle East (7.4% vs 2.5%), and an increase in publications from East Asia and Pacific (17.4% vs 30.9%; P < 0.001). The relative citation ratio was higher in the open access period (median 1.65 vs 0.95, P < 0.001). The number of citations per year was higher in the open access period (median 3.0 vs 2.0, P < 0.001). There was an increase in the proportion of funded studies (from 40.2% to 47.8%; P = 0.003). CONCLUSIONS: Flipping to open access in OBGYN journals is associated with a citation advantage with major authorship changes, leading to inequity.

Machine learning for prediction of concurrent endometrial carcinoma in patients diagnosed with endometrial intraepithelial neoplasia.

OBJECTIVE: To identify predictive clinico-pathologic factors for concurrent endometrial carcinoma (EC) among patients with endometrial intraepithelial neoplasia (EIN) using machine learning. METHODS: a retrospective analysis of 160 patients with a biopsy proven EIN. We analyzed the performance of multiple machine learning models (n = 48) with different parameters to predict the diagnosis of postoperative EC. The prediction variables included: parity, gestations, sampling method, endometrial thickness, age, body mass index, diabetes, hypertension, serum CA-125, preoperative histology and preoperative hormonal therapy. Python 'sklearn' library was used to train and test the models. The model performance was evaluated by sensitivity, specificity, PPV, NPV and AUC. Five iterations of internal cross-validation were performed, and the mean values were used to compare between the models. RESULTS: Of the 160 women with a preoperative diagnosis of EIN, 37.5% (60) had a post-op diagnosis of EC. In univariable analysis, there were no significant predictors of EIN. For the five best machine learning models, all the models had a high specificity (71%-88%) and a low sensitivity (23%-51%). Logistic regression model had the highest specificity 88%, XG Boost had the highest sensitivity 51%, and the highest positive predictive value 62% and negative predictive value 73%. The highest area under the curve was achieved by the random forest model 0.646. CONCLUSIONS: Even using the most elaborate AI algorithms, it is not possible currently to predict concurrent EC in women with a preoperative diagnosis of EIN. As women with EIN have a high risk of concurrent EC, there may be a value of surgical staging including sentinel lymph node evaluation, to more precisely direct adjuvant treatment in the event EC is identified on final pathology.

It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

OBJECTIVES: To use machine learning to optimize the detection of obstetrics and gynecology (OBGYN) Chat Generative Pre-trained Transformer (ChatGPT) -written abstracts of all OBGYN journals. METHODS: We used Web of Science to identify all original articles published in all OBGYN journals in 2022. Seventy-five original articles were randomly selected. For each, we prompted ChatGPT to write an abstract based on the title and results of the original abstracts. Each abstract was tested by Grammarly software and reports were inserted into a database. Machine-learning modes were trained and examined on the database created. RESULTS: Overall, 75 abstracts from 12 different OBGYN journals were randomly selected. There were seven (58%) Q1 journals, one (8%) Q2 journal, two (17%) Q3 journals, and two (17%) Q4 journals. Use of mixed dialects of English, absence of comma-misuse, absence of incorrect verb forms, and improper formatting were important prediction variables of ChatGPT-written abstracts. The deep-learning model had the highest predictive performance of all examined models. This model achieved the following performance: accuracy 0.90, precision 0.92, recall 0.85, area under the curve 0.95. CONCLUSIONS: Machine-learning-based tools reach high accuracy in identifying ChatGPT-written OBGYN abstracts.