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Alex J. Mitchell

Researcher at University of York

Publications -  256
Citations -  28244

Alex J. Mitchell is an academic researcher from University of York. The author has contributed to research in topics: Population & Distress. The author has an hindex of 79, co-authored 251 publications receiving 24227 citations. Previous affiliations of Alex J. Mitchell include University of Leicester & University of Leeds.

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Mortality Rates in Patients With Anorexia Nervosa and Other Eating Disorders: A Meta-analysis of 36 Studies

TL;DR: In this article, a systematic literature search, appraisal, and meta-analysis were conducted of the MEDLINE/PubMed, PsycINFO, and Embase databases and 4 full-text collections (ie, ScienceDirect, Ingenta Select, Ovid, and Wiley-Blackwell Interscience).
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Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: a meta-analysis of 94 interview-based studies

TL;DR: Interview-defined depression and anxiety is less common in patients with cancer than previously thought, although some combination of mood disorders occurs in 30-40% of patients in hospital settings without a significant difference between palliative-care and non-palliatives-care settings.

Mortality Rates in Patients With Anorexia Nervosa and Other Eating Disorders

TL;DR: The study found age at assessment to be a significant predictor of mortality for patients with anorexia nervosa, and further research is needed to identify predictors of mortality in patients with BN and EDNOS.
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Rate of progression of mild cognitive impairment to dementia – meta-analysis of 41 robust inception cohort studies

TL;DR: The objective of this study is to quantify the risk of developing dementia in those with mild cognitive impairment (MCI) and to establish a biomarker for dementia in these patients.
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Clinical diagnosis of depression in primary care: a meta-analysis

TL;DR: A meta-analysis of 118 studies that assessed the accuracy of unassisted diagnoses of depression by GPs suggests that misidentifications outnumber missed cases and diagnosis could be improved by re-assessment of individuals who might have depression.