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1.
World J Gastrointest Surg ; 16(3): 768-776, 2024 Mar 27.
Artículo en Inglés | MEDLINE | ID: mdl-38577070

RESUMEN

BACKGROUND: Resection of hepatic metastasis from neuroendocrine tumors (NETs) improves quality of life and prolongs 5-year survival. Ablation can be utilized with surgery to achieve complete resection. Although several studies report long-term outcomes for patients undergoing ablation, none have explored perioperative effects of ablation in patients with metastatic NETs. AIM: To determine if intra-operative ablation during hepatectomy increases risk of adverse outcomes such as surgical site infections (SSIs), bleeding, and bile leak. METHODS: A retrospective analysis of the hepatectomy National Surgical Quality Improvement Program database from 2015-2019 was performed to determine the odds of SSIs, bile leaks, or bleeding in patients undergoing intraoperative ablation when compared to hepatectomy alone. RESULTS: Of the 966 patients included in the study, 298 (30.9%) underwent ablation during hepatectomy. There were 78 (11.7%) patients with SSIs in the hepatectomy alone group and 39 (13.1%) patients with a SSIs in the hepatectomy with ablation group. Bile leak occurred in 41 (6.2%) and 14 (4.8%) patients in the two groups, respectively; bleeding occurred in 117 (17.5%) and 33 (11.1%), respectively. After controlling for confounding variables, ablation did not increase risk of SSI (P = 0.63), bile leak (P = 0.34) or bleeding (P = 0.07) when compared to patients undergoing resection alone on multivariate analysis. CONCLUSION: Intraoperative ablation with hepatic resection for NETs is safe in the perioperative period without significant increased risk of infection, bleeding, or bile leak. Surgeons should utilize this modality when appropriate to achieve optimal disease control and outcomes.

2.
Breast Cancer Res Treat ; 202(2): 325-334, 2023 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-37517027

RESUMEN

PURPOSE: The bovine leukemia virus (BLV) is a deltaretrovirus that causes malignant lymphoma and lymphosarcomas in cattle globally and has high prevalence among large scale U.S. dairy herds. Associations between presence of BLV DNA in human mammary tissue and human breast cancer incidence have been reported. We sought to estimate the prevalence of BLV DNA in breast cancer tissue samples in a rural state with an active dairy industry. METHODS: We purified genomic DNA from 56 fresh-frozen breast cancer tissue samples (51 tumor samples, 5 samples representing adjacent normal breast tissue) banked between 2016 and 2019. Using nested PCR assays, multiple BLV tax sequence primers and primers for the long terminal repeat (LTR) were used to detect BLV DNA in tissue samples and known positive control samples, including the permanently infected fetal lamb kidney cell line (FLK-BLV) and blood from BLV positive cattle. RESULTS: The median age of patients from which samples were obtained at the time of treatment was 60 (40-93) and all were female. Ninety percent of patients had invasive ductal carcinoma. The majority were poorly differentiated (60%). On PCR assay, none of the tumor samples tested positive for BLV DNA, despite having consistent signals in positive controls. CONCLUSION: We did not find BLV DNA in fresh-frozen breast cancer tumors from patients presenting to a hospital in Vermont. Our findings suggest a low prevalence of BLV in our patient population and a need to reevaluate the association between BLV and human breast cancer.


Asunto(s)
Neoplasias de la Mama , Virus de la Leucemia Bovina , Neoplasias Mamarias Animales , Bovinos , Humanos , Femenino , Animales , Ovinos/genética , Masculino , Neoplasias de la Mama/epidemiología , Neoplasias de la Mama/genética , Virus de la Leucemia Bovina/genética , ADN Viral/genética , Mama
3.
J Neurosurg ; : 1-8, 2022 Jan 14.
Artículo en Inglés | MEDLINE | ID: mdl-35171830

RESUMEN

OBJECTIVE: There is a growing body of evidence demonstrating the benefits of diversity across many domains. However, neurosurgery consistently lags most of medicine in many aspects of diversity. Any inability to make progress in this arena is likely due to the multifactorial and complex nature of the issue, which makes it difficult to meaningfully measure and track diversity within the workforce. The goal of this pilot study was to assess the utilization of a multidimensional statistical model to quantify and assess diversity within neurosurgery. The authors sought to 1) assess the diversity of neurosurgery residents using Simpson's Diversity Index and Sullivan's Composite Diversity Index (CDI) and 2) determine if a medical school's intrinsic academic opportunities and resources, indicated by US News & World Report's (USNWR's) best research medical schools ranking, are related to the number of neurosurgery residents produced per medical school. METHODS: A cross-sectional study of all neurosurgery residents (projected graduation years 2020-2026) and 1st-year medical students (matriculating years 2016-2019) was undertaken. Biographical diversity data (gender and matriculation data) were collected from institutional websites between December 2019 and June 2020. The CDI expresses the diversity of a given population by representing the effective proportion of categories present across all diversity attributes and was calculated for neurosurgery residents and medical students. Statistical results are reported as the median and interquartile range. RESULTS: Neurosurgery residency program CDI (0.21, IQR 0.16-0.25) was significantly less (p < 0.001) than medical school CDI (0.42, 0.37-0.48). There was no significant difference in CDI between top-40 and non-top 40 Doximity ranked research output neurosurgery residency programs (p = 0.35) or between top-40 and non-top 40 USNWR ranked research medical schools (p = 0.11). Over a 7-year period, top-40 ranked research medical schools produced significantly more (p < 0.001) neurosurgery residents (11.9, IQR 7.1-18.9) than the non-top 40 ranked research medical schools (5.6, IQR 2.6-8.5). CONCLUSIONS: The authors demonstrated the feasibility of using a multidimensional statistical model as a measure to understand the complex issues of diversity. Their preliminary data suggested that neurosurgery's challenge in achieving the desired diversity relates to uneven attraction and/or recruitment across an increasingly diverse medical student body. In recent years, neurosurgery has made great progress in the arena of diversity and has shown a strong desire to do more. Utilization of these diversity measures will help the neurosurgery field to monitor progress along this valuable journey.

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