Publications by authors named "I Benjamin Paz"

Objective: Determine whether staged right colectomy for appendiceal cancer (initial appendectomy followed by completion colectomy - SRC) is detrimental to oncologic outcomes compared to upfront right colectomy (URC).

Background: The decision to perform right hemicolectomy for appendiceal cancer depends on histologic features of the primary tumor. SRC allows for histologic assessment of primary tumor and may avoid an unnecessary right colectomy if not indicated.

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Background And Objectives: Robotic surgery for gastric adenocarcinoma (GC) shows recovery benefits compared to open and laparoscopic approaches. While open conversion (OC) is associated with poorer outcomes, factors influencing robotic gastrectomy (RG) OC are obscure. We identified preoperative and intraoperative risk factors for OC and associated outcomes.

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The aquaculture sector is essential for meeting seafood demand while ensuring sustainability. It involves farming fish, mollusks, crustaceans, other invertebrates, and algae in controlled environments, helping to conserve marine resources and reduce ecological pressures. Sustainable practices, such as an integrated multitrophic recirculating aquaculture system (IMTA-RAS) with fish and seaweed, can minimize the environmental impact of fish aquaculture.

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Objective: Determine the effect of Medicare insurance status on quality of care and survival in cancer patients.

Background: Nearly half of current Medicare beneficiaries now enroll in Medicare Advantage (MA) plans and there is limited understanding of how overall cancer care and outcomes vary in MA compared to Traditional Medicare (TM).

Methods: Medicare beneficiaries undergoing treatment for stage 1-4 lung, esophageal, gastric, pancreatic, colon, and rectal cancer from 2000-2019 in California were identified.

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Repurposing existing medicines to target disease-associated genes represents a promising strategy for developing new treatments for complex diseases. However, progress has been hindered by a lack of viable candidate drug targets identified through genome-wide association studies (GWAS). Gene-based association tests provide a more powerful alternative to traditional single nucleotide polymorphism (SNP)-based methods, yet current approaches often fail to leverage shared heritability across populations and to effectively integrate functional genomic data.

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