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1.
JSLS ; 27(4)2023.
Article in English | MEDLINE | ID: mdl-38045819

ABSTRACT

Background and Objectives: Multiple vessel-sealing devices are available for use during laparoscopy. The objective of this study is to determine what surgeon-level and device characteristics influence the choice of advanced energy device during gynecologic laparoscopy. Methods: This is a national cross-sectional study of gynecologic surgeons conducted via social media, utilizing an online, publicly-available, anonymous survey. Gynecologic surgeons who had completed residency training were approached for participation in the survey. Survey completion was voluntary and involved no further follow-ups. The web-based survey consisted of six questions with the option to answer three additional questions if time permitted. The institutional review board determined that this study qualified for exemption. Results: There were 92 respondents who participated in the survey. Of these, 81 completed the survey and were included in the analysis. Female respondents were younger and more frequently reported a glove size of 6.5 or less. Surgeon-level characteristics, including gender, age, glove size, case volume, region, and practice setting, were not significantly associated with preferred energy devices. Device availability in the operating room was the only characteristic associated with preferred energy devices (P-value = .0076). Other device-level characteristics such as optimal thermal spread, reduced plume, ease of use, device reliability, and teachability had no statistically significant association with preferred energy devices. Conclusion: Multiple advanced energy devices are available for use during gynecologic laparoscopy. These devices have varying energy profiles, thermal spread, and device size. Despite this diversity, only device availability in the operating room influenced the surgeon's preferred device selection.


Subject(s)
Laparoscopy , Surgeons , Humans , Female , Cross-Sectional Studies , Reproducibility of Results , Surveys and Questionnaires , Laparoscopy/education
3.
HGG Adv ; 3(1)2022 Jan 13.
Article in English | MEDLINE | ID: mdl-34993496

ABSTRACT

Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion (MAST3, p = 6.9×10-7 and GAB2, p = 2.0×10-6). Moreover, increasing values of a previously validated 269-variant genetic risk score (GRS) for PC was positively associated with conversion (e.g., comparing the highest to the two middle deciles gave a hazard ratio [HR] = 1.13; 95% Confidence Interval [CI]= 0.94-1.36); whereas, decreasing values of a 36-variant GRS for prostate-specific antigen (PSA) levels were positively associated with conversion (e.g., comparing the lowest to the two middle deciles gave a HR = 1.25; 95% CI, 1.04-1.50). These results suggest that germline genetics may help inform and individualize the decision of AS-or the intensity of monitoring on AS-versus treatment for the initial management of patients with low-risk PC.

6.
J Urol ; 206(5): 1147-1156, 2021 11.
Article in English | MEDLINE | ID: mdl-34503355

ABSTRACT

PURPOSE: We examined the demographic and clinicopathological parameters associated with the time to convert from active surveillance to treatment among men with prostate cancer. MATERIALS AND METHODS: A multi-institutional cohort of 7,279 patients managed with active surveillance had data and biospecimens collected for germline genetic analyses. RESULTS: Of 6,775 men included in the analysis, 2,260 (33.4%) converted to treatment at a median followup of 6.7 years. Earlier conversion was associated with higher Gleason grade groups (GG2 vs GG1 adjusted hazard ratio [aHR] 1.57, 95% CI 1.36-1.82; ≥GG3 vs GG1 aHR 1.77, 95% CI 1.29-2.43), serum prostate specific antigen concentrations (aHR per 5 ng/ml increment 1.18, 95% CI 1.11-1.25), tumor stages (cT2 vs cT1 aHR 1.58, 95% CI 1.41-1.77; ≥cT3 vs cT1 aHR 4.36, 95% CI 3.19-5.96) and number of cancerous biopsy cores (3 vs 1-2 cores aHR 1.59, 95% CI 1.37-1.84; ≥4 vs 1-2 cores aHR 3.29, 95% CI 2.94-3.69), and younger age (age continuous per 5-year increase aHR 0.96, 95% CI 0.93-0.99). Patients with high-volume GG1 tumors had a shorter interval to conversion than those with low-volume GG1 tumors and behaved like the higher-risk patients. We found no significant association between the time to conversion and self-reported race or genetic ancestry. CONCLUSIONS: A shorter time to conversion from active surveillance to treatment was associated with higher-risk clinicopathological tumor features. Furthermore, patients with high-volume GG1 tumors behaved similarly to those with intermediate and high-risk tumors. An exploratory analysis of self-reported race and genetic ancestry revealed no association with the time to conversion.


Subject(s)
Prostatectomy/statistics & numerical data , Prostatic Neoplasms/therapy , Watchful Waiting/statistics & numerical data , Aged , Biopsy, Large-Core Needle/statistics & numerical data , Disease Progression , Follow-Up Studies , Humans , Kallikreins/blood , Male , Middle Aged , Neoplasm Grading , Neoplasm Staging , Prostate/pathology , Prostate/surgery , Prostate-Specific Antigen/blood , Prostatic Neoplasms/blood , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/pathology , Risk Assessment/statistics & numerical data , Risk Factors , Time Factors , Tumor Burden
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