Publications by authors named "D Mak"
Introduction: This survey investigates brain MRI practices for isolated GHD among Pediatric Endocrine Society (PES) members, focusing on gadolinium-based contrast agents (GBCAs) versus non-contrast MRI.
Methods: A 15-question survey was distributed to 1,553 PES members, capturing data on GBCA usage, non-contrast imaging access, and awareness of gadolinium retention.
Results: A total of 85% of respondents routinely order brain MRIs for isolated GHD, with 60% using GBCAs.
Objectives: To estimate notification rates for infectious syphilis in women of reproductive age and congenital syphilis in Australia.
Study Design: Retrospective cohort study; analysis of national infectious syphilis and enhanced congenital syphilis surveillance data.
Setting, Participants: Women aged 15-44 years diagnosed with infectious syphilis, and babies with congenital syphilis, Australia, 2011-2021.
Article Synopsis
- A national program integrated molecular point-of-care (POC) testing for chlamydia, gonorrhoea, and trichomonas in 49 primary care clinics in Australia to improve diagnostic access and treatment speed for First Nations peoples.
- Between 2016 and 2022, the program showed a significant increase in monthly testing, and treated a higher percentage of patients within two to seven days compared to previous practices, resulting in thousands of infectious days averted.
- The evaluation revealed high test concordance rates and low failure rates, indicating that the POC testing was effective and of high quality, contributing to both individual health benefits and potentially reducing disease transmission in First Nations communities.
Background: The IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual's cancer risk, it proposes thresholds to stratify them into very-low-risk (<1%), low-risk (1-<5%), intermediate-risk (5-<20%), and high-risk (≥20%) groups.
Objective: To externally validate the IDENTIFY haematuria risk calculator and compare traditional regression with machine learning algorithms.