👤 Jocelyn J Drinkwater

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2
Articles
2
Name variants
Also published as: Kenneth Graham Drinkwater
articles
Neil Dagnall, Andrew Denovan, Claire Murphy-Morgan +3 more · 2026 · Frontiers in psychology · Frontiers · added 2026-04-24
Scientific scepticism, as an epistemic orientation, remains under-researched. This study investigated the interplay between belief in science, supernatural credence, and cognitive processing styles in Show more
Scientific scepticism, as an epistemic orientation, remains under-researched. This study investigated the interplay between belief in science, supernatural credence, and cognitive processing styles in a sample of 300 participants ( Show less
📄 PDF DOI: 10.3389/fpsyg.2026.1699045
LPA
Jocelyn J Drinkwater, Kirsten Peters, Wendy A Davis +4 more · 2021 · Journal of diabetes and its complications · Elsevier · added 2026-04-24
To determine whether biomarkers for diabetic kidney disease (DKD) can be used to determine the prevalence, progression and/or incidence of diabetic retinopathy (DR) complicating type 2 diabetes. Prote Show more
To determine whether biomarkers for diabetic kidney disease (DKD) can be used to determine the prevalence, progression and/or incidence of diabetic retinopathy (DR) complicating type 2 diabetes. Proteomic biomarkers were measured in baseline fasting plasma from 958 Fremantle Diabetes Study Phase II participants whose baseline and, in those returning for follow-up (n = 764), Year 4 fundus photographs were graded for DR presence/severity. The performance of PromarkerD (three biomarkers and readily available clinical variables which identify prevalent DKD and predict incident DKD and estimated glomerular filtration rate decline ≥30% over four years) for detecting DR prevalence, progression and incidence was assessed using the area under the receiver operating curve (AUC). Logistic regression determined whether individual proteins were associated with DR outcomes after adjusting for the most parsimonious model. Plasma apolipoprotein A-IV (APOA4) was independently associated with moderate non-proliferative DR at baseline (OR (95% CI): 1.64 (1.01, 2.67), P = 0.047). Model discrimination was poor for all PromarkerD predicted probabilities against all DR outcomes (AUC ≤0.681). PromarkerD and its constituent biomarkers were not consistently associated with DR prevalence or temporal change. APOA4 was associated with prevalent DR, but not DR incidence or progression. Distinct pathophysiological mechanisms may underlie DKD and DR. Show less
no PDF DOI: 10.1016/j.jdiacomp.2021.107853
APOA4