Reproductive and Hormonal Factors and Thyroid Cancer Risk: Pooled Analysis of Prospective Cohort Studies in the Asia Cohort Consortium.

Given the female predominance of thyroid cancer (TC), particularly in the reproductive age range, female sex hormones have been proposed as an aetiology; however, previous epidemiological studies have shown conflicting results. We conducted a pooled analysis using individual data from 9 prospective cohorts in the Asia Cohort Consortium, to explore the association between 10 female reproductive and hormonal factors and TC risk. Using Cox proportional hazards models, cohort-specific hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated and then pooled using a random-effects model.

Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study.

Background: Postprandial glucose concentration 1-h (1 h-PG) after an oral glucose tolerance test (OGTT) has similar or superior performance to 2 h-PG in predicting type-2 diabetes mellitus (T2DM) in several populations, and is simpler to obtain in clinical practice. However, studies in Asians are scarce. We investigated the utility of elevated baseline 1 h-PG in predicting T2DM incidence within three years, and its relationship with β-cell function in 1250 non-diabetic Asian participants.

Reproductive factors and risk of epithelial ovarian cancer: results from the Asia Cohort Consortium.

Background: There are scarce data on risk factors for epithelial ovarian cancer (EOC) in Asian populations. Our goal was to advance knowledge on reproductive -related risk factors for EOC in a large population of Asian women.

Methods: This study used pooled individual data from baseline questionnaires in 11 prospective cohorts (baseline years, 1958-2015) in the Asia Cohort Consortium.

A necrotizing toxin enables Pseudomonas syringae infection across evolutionarily divergent plants.

The Pseudomonas syringae species complex harbors a diverse range of pathogenic bacteria that can infect hosts across the plant kingdom. However, much of our current understanding of P. syringae is centered on its infection of flowering plants.

Development and Validation of a Smartphone Application for Neonatal Jaundice Screening.

Importance: This diagnostic study describes the merger of domain knowledge (Kramer principle of dermal advancement of icterus) with current machine learning (ML) techniques to create a novel tool for screening of neonatal jaundice (NNJ), which affects 60% of term and 80% of preterm infants.

Objective: This study aimed to develop and validate a smartphone-based ML app to predict bilirubin (SpB) levels in multiethnic neonates using skin color analysis.

Design, Setting, And Participants: This diagnostic study was conducted between June 2022 and June 2024 at a tertiary hospital and 4 primary-care clinics in Singapore with a consecutive sample of neonates born at 35 or more weeks' gestation and within 21 days of birth.