Publications by authors named "Matteo Bonvini"

Establishing cause-effect relationships from observational data often relies on untestable assumptions. It is crucial to know whether, and to what extent, the conclusions drawn from non-experimental studies are robust to potential unmeasured confounding. In this paper, we focus on the average causal effect (ACE) as our target of inference.

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Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admission, we developed machine learning models that accurately (AUC 0.86-0.

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Background: Management of squamous cell carcinoma of the anus (SCCA) is becoming more relevant, as its incidence increases. The purpose of this study was to investigate possible differences in patient population and care delivery for SCCA between academic and community cancer programs in the United States.

Methods: A review of available data from the American College of Surgeons Committee on Cancer National Cancer DataBase focused on gender, age, race, type of health insurance, comorbidity score, distance traveled for care, stage at diagnosis, and therapy utilization (surgery, chemotherapy, and radiation therapy) as first course of treatment (FCT).

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Background: Management of squamous cell carcinoma of the anus (SCCA) is becoming more relevant, as its incidence continues to increase. The purpose of this study was to evaluate regional and national data to assess trends in epidemiology, access to cancer center care, and overall management strategies in SCCA.

Study Design: A review of available data from the American College of Surgeons Committee on Cancer National Cancer Data Base focused on incidence, sex, age, stage at diagnosis, distance traveled for care, and utilization of therapy as first course of treatment (FCT).

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