Journal of the American College of Surgeons
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Multicenter Study
Are Current National Review Board Downstaging Protocols for Hepatocellular Carcinoma Too Restrictive?
Liver transplantation (LT) is an effective strategy for patients with unresectable hepatocellular carcinoma (HCC). To qualify for standardized LT model for end-stage liver disease exception points, the United Network for Organ Sharing National Liver Review Board (NLRB) requires that the presenting and final HCC tumor burden be within the University of California San Francisco criteria, which were recently expanded (within expanded UCSF [W-eUCSF]). Current NLRB criteria may be too restrictive because it has been shown previously that the initial burden does not predict LT failure when tumors downstage to UCSF. This study aims to assess LT outcomes for HCC initially presenting beyond expanded UCSF (B-eUCSF) criteria in a large multicenter collaboration. ⋯ Transplantation for patients initially presenting with HCC B-eUSCF criteria offers a survival advantage similar to those with tumors meeting W-eUCSF criteria at presentation. The current NLRB policy is too stringent, and considerations to expand criteria should be discussed.
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Recent large retrospective studies suggest that breast-conserving therapy (BCT) plus radiation yielded better outcomes than mastectomy (MST) for women with early-stage breast cancer (ESBC). Whether this is applicable to the different subtypes is unknown. We hypothesize that BCT yielded better outcomes than MST, regardless of subtypes of ESBC. ⋯ BCT yielded better survival rates than mastectomy for women with all subtypes of ESBC. The role of mastectomy for women with ESBC should be reassessed in future clinical trials.
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Clinical trial participation among cancer patients remains low. We sought to examine the impact of patient- and system-level factors on clinical trial participation among gastrointestinal (GI) surgical patients. ⋯ Clinical trial participation is low among adult GI cancer patients who undergo surgery in the US. Programs aimed at improving trial participation among vulnerable populations are needed to improve trial participation.
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Gun violence remains a significant public health problem. Although gun violence prevention efforts mostly target homicides, nationally, two-thirds of all firearm deaths are suicides. The purpose of this study was to define patterns of firearm-related deaths and examine the effect of population size. ⋯ Although homicides account for the majority of firearm-related deaths in metropolitan areas, suicides constitute a disproportionate number in smaller urban areas. Although the rate of homicides has stabilized, the rate of firearm-related suicides continues to increase significantly, underscoring the need for better direct prevention efforts and public health policy.
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The American College of Surgeons (ACS) NSQIP risk calculator helps guide operative decision making. In patients with significant surgical risk, it may be unclear whether to proceed with "Hail Mary"-type interventions. To refine predictions, a local interpretable model-agnostic explanations machine (LIME) learning algorithm was explored to determine weighted patient-specific factors' contribution to mortality. ⋯ Through the application of machine learning algorithms (GBM and LIME), our model individualized predicted mortality and contributing factors with substantial ACS-NSQIP predicted mortality. USE of machine learning techniques may better inform operative decisions and family conversations in cases of significant surgical risk.