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David Yeates

Researcher at University of Oxford

Publications -  96
Citations -  6733

David Yeates is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Cohort study. The author has an hindex of 47, co-authored 96 publications receiving 6327 citations. Previous affiliations of David Yeates include Eli Lilly and Company & John Radcliffe Hospital.

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Risk of venous thromboembolism in people admitted to hospital with selected immune-mediated diseases: record-linkage study

TL;DR: Significantly elevated risks of VTE were found, in all three populations studied, in people with a hospital record of admission for autoimmune haemolytic anaemia, chronic active hepatitis, dermatomyositis/polymyositis, type 1 diabetes mellitus, multiple sclerosis, myasthenia gravis, myxoedema, pemphigus/pemphIGoid, polyarteritis nodosa, psoriasis, rheumatoid arthritis, Sj
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The epidemiology of hysterectomy: findings in a large cohort study.

TL;DR: Examination of patterns of hysterectomy in the Oxford‐Family Planning Association (Oxford‐FPA) study in relation to age, parity, social class and calendar period finds patterns are similar to previous studies.
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Depression and anxiety in people with inflammatory bowel disease

TL;DR: The concentration of risk of depression or anxiety one year or less before diagnosis with UC suggests that the two psychiatric disorders might be a consequence of early symptoms of the as yet undiagnosed gastrointestinal condition.
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Effects of age, cigarette smoking, and other factors on fertility: findings in a large prospective study.

TL;DR: There was a consistent and highly significant trend of decreasing fertility with increasing numbers of cigarettes smoked per day and it was estimated that five years after stopping contraception 10.7% of smokers smoking more than 20 cigarettes a day, but only 5.4% of non-smokers, remained undelivered.
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Mortality after admission to hospital with fractured neck of femur: database study

TL;DR: Standardised mortality ratios after fracture are calculated by applying the age and sex specific mortality in five-year age groups in the whole population of the region from 1994 to 1998.