ORCID Profile
0000-0003-1555-069X
Current Organisation
University of Leeds
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Publisher: Wiley
Date: 04-06-2019
Publisher: Cold Spring Harbor Laboratory
Date: 28-08-2021
DOI: 10.1101/2021.08.25.21262631
Abstract: We estimated the degree to which language used in the high profile medical ublic health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations examined disconnects between language and recommendations identified the most common linking phrases and estimated how strongly linking phrases imply causality. We searched and screened for 1,170 articles from 18 high-profile journals (65 per journal) published from 2010-2019. Based on written framing and systematic guidance, three reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as None (no causal implication) in 13.8%, Weak 34.2%, Moderate 33.2%, and Strong 18.7% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5% or commensurate for 40.3% of articles. The most common linking word in abstracts was “associate” (45.7%). Reviewer’s ratings of linking word roots were highly heterogeneous over half of reviewers rated “association” as having at least some causal implication. This research undercuts the assumption that avoiding “causal” words leads to clarity of interpretation in medical research.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 06-2011
Publisher: Wiley
Date: 19-03-2019
Abstract: To explore the separate effects of being 'at risk' of gestational diabetes mellitus (GDM) and screening for GDM, and of raised fasting plasma glucose (FPG) and clinical diagnosis of GDM, on the risk of late stillbirth. Prospective case-control study. Forty-one maternity units in the UK. Women who had a stillbirth ≥28 weeks of gestation (n = 291) and women with an ongoing pregnancy at the time of interview (n = 733). Causal mediation analysis explored the joint effects of (i) 'at risk' of GDM and screening for GDM and (ii) raised FPG (≥5.6 mmol/l) and clinical diagnosis of GDM on the risks of late stillbirth. Adjusted odds ratios (aOR) were estimated by logistic regression adjusted for confounders identified by directed acyclic graphs. Screening for GDM and FPG levels RESULTS: Women 'at risk' of GDM, but not screened, experienced 44% greater risk of late stillbirth than those not 'at risk' (aOR 1.44, 95% CI 1.01-2.06). Women 'at risk' of GDM who were screened experienced no such increase (aOR 0.98, 95% CI 0.70-1.36). Women with raised FPG not diagnosed with GDM experienced four-fold greater risk of late stillbirth than women with normal FPG (aOR 4.22, 95% CI 1.04-17.02). Women with raised FPG who were diagnosed with GDM experienced no such increase (aOR 1.10, 95% CI 0.31-3.91). Optimal screening and diagnosis of GDM mitigate the higher risks of late stillbirth in women 'at risk' of GDM and/or with raised FPG. Failure to diagnose GDM leaves women with raised FPG exposed to avoidable risk of late stillbirth. Risk of #stillbirth in gestational diabetes is mitigated by effective screening and diagnosis.
Publisher: Springer Science and Business Media LLC
Date: 11-08-2011
DOI: 10.1007/S10549-011-1708-7
Abstract: Dense mammographic patterns are a strong predictor of breast cancer risk. Factors at differing stages of life have been linked to breast cancer risk, although rarely studied simultaneously. We aimed to investigate whether birth weight and factors later in life were associated with mammographic density in the Newcastle Thousand Families Study. The Study originally consisted of all 1142 babies born in May and June 1947 to mothers resident in Newcastle upon Tyne in Northern England. Detailed information was collected prospectively during childhood, including birth weight and socio-economic circumstances. At age 49-51 years, 574 study members completed a 'Health and Lifestyle' questionnaire. Of the 307 surviving women who returned these questionnaires, 199 returned a further questionnaire asking for details of routine mammographic screening, their reproductive and contraceptive history. Mammographic patterns were coded into Wolfe categories. This was analysed, by ordinal logistic regression, in relation to a range of variables at different stages of life. Increased standardised birth weight (odds ratio, OR 1.32 (95% CI 1.02-1.71) P = 0.03) was a significant independent predictor of higher density. Increasing body mass index (BMI) was predictive of lower density (OR 0.86 per Kg/m(2) (95% CI 0.81-0.92) P < 0.001), as was having reached menopause (OR, compared to pre- and peri-menopausal, 0.41 (95% CI 0.23-0.73) P = 0.002). Interactions were seen between menopausal status and both BMI and age at menarche (P = 0.06) on density, although for neither did the direction of association change. After adjustment for factors acting throughout life, we identified a significant association between standardised birth weight and density in adulthood, consistent with previous research suggesting that heavier babies have an increased risk of breast cancer in later life. We also confirmed associations between both BMI and menopausal status.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Peter Tennant.