Search Results - "Grant, Stuart W."

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    Statistical primer: multivariable regression considerations and pitfalls by Grant, Stuart W, Hickey, Graeme L, Head, Stuart J

    “…Summary Multivariable regression models are used to establish the relationship between a dependent variable (i.e. an outcome of interest) and more than 1…”
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    Acute type A aortic dissection in the United Kingdom: Surgeon volume-outcome relation by Bashir, Mohamad, MD, PhD, Harky, Amer, MRCS, Fok, Matthew, MBChB, Shaw, Matthew, MS, Hickey, Graeme L., PhD, Grant, Stuart W., PhD, Uppal, Rakesh, PhD, FRCS (CTh), Oo, Aung, FRCS (CTh)

    “…Abstract Objectives Surgery for acute type A aortic dissection (ATAD) carries a high risk of operative mortality. We examined the surgeon volume-outcome…”
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    Healthcare utilisation in patients with long-term conditions during the COVID-19 pandemic: a population-based observational study of all patients across Greater Manchester, UK by Sammut-Powell, Camilla, Williams, Richard, Sperrin, Matthew, Thomas, Owain, Peek, N, Grant, Stuart W

    Published in BMJ open (07-07-2023)
    “…ObjectivesData on population healthcare utilisation (HCU) across both primary and secondary care during the COVID-19 pandemic are lacking. We describe primary…”
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    Wedge resection versus lobectomy in T1 lung cancer patients: a propensity matched analysis by Moon, Robert J, Taylor, Rebecca, Miklavc, Pika, Mehdi, Syed B, Grant, Stuart W, Bittar, Mohamad Nidal

    Published in Journal of cardiothoracic surgery (24-08-2023)
    “…Abstract Objectives Performing wedge resection rather than lobectomy for primary lung cancer remains controversial. Recent studies demonstrate no survival…”
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    The KDIGO acute kidney injury guidelines for cardiac surgery patients in critical care: a validation study by Howitt, Samuel H, Grant, Stuart W, Caiado, Camila, Carlson, Eric, Kwon, Dowan, Dimarakis, Ioannis, Malagon, Ignacio, McCollum, Charles

    Published in BMC nephrology (25-06-2018)
    “…The Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury (AKI) guidelines assign the same stage of AKI to patients whether they fulfil urine…”
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    A comparison of outcomes between bovine pericardial and porcine valves in 38 040 patients in England and Wales over 10 years by Hickey, Graeme L., Grant, Stuart W., Bridgewater, Ben, Kendall, Simon, Bryan, Alan J., Kuo, James, Dunning, Joel

    “…OBJECTIVES Biological valves are the most commonly implanted prostheses for aortic valve replacement (AVR) surgery in the UK. The aim of this study was to…”
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    Prediction models for diagnosis and prognosis in Covid-19 by Sperrin, Matthew, Grant, Stuart W, Peek, Niels

    Published in BMJ (Online) (14-04-2020)
    “…All models are wrong but data sharing and better reporting could improve this…”
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    Statistical Primer: developing and validating a risk prediction model by Grant, Stuart W, Collins, Gary S, Nashef, Samer A M

    “…A risk prediction model is a mathematical equation that uses patient risk factor data to estimate the probability of a patient experiencing a healthcare…”
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    Statistical primer: sample size and power calculations-why, when and how? by Hickey, Graeme L, Grant, Stuart W, Dunning, Joel, Siepe, Matthias

    “…When designing a clinical study, a fundamental aspect is the sample size. In this article, we describe the rationale for sample size calculations, when it…”
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    Propensity-matched analysis of minimally invasive approach versus sternotomy for mitral valve surgery by Grant, Stuart W, Hickey, Graeme L, Modi, Paul, Hunter, Steven, Akowuah, Enoch, Zacharias, Joseph

    Published in Heart (British Cardiac Society) (01-05-2019)
    “…The objective of this multicentre study was to compare short-term and midterm outcomes between sternotomy and minimally invasive approaches for mitral valve…”
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    Statistical primer: how to deal with missing data in scientific research? by Papageorgiou, Grigorios, Grant, Stuart W, Takkenberg, Johanna J M, Mokhles, Mostafa M

    “…Missing data are a common challenge encountered in research which can compromise the results of statistical inference when not handled appropriately. This…”
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