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Research

Efficacy of cannabinoids in neurodevelopmental and neuropsychiatric disorders among children and adolescents: a systematic review

A better understanding of the endocannabinoid system and a relaxation in regulatory control of cannabis globally has increased interest in the medicinal use of cannabinoid-based products (CBP). We provide a systematic review of the rationale and current clinical trial evidence for CBP in the treatment of neuropsychiatric and neurodevelopmental disorders in children and adolescents.

Research

Hospitalizations Following Complex Hip Surgery in Children with Intellectual Disability: A Self-Controlled Case Series Analysis

To evaluate the associations between complex hip surgery and subsequent hospitalizations in children with intellectual disability, including a subset of children with cerebral palsy.

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Childhood Systemic Lupus Erythematosus: Presentation, management and long-term outcomes in an Australian cohort

Systemic Lupus Erythematosus (SLE) is a serious autoimmune disease often resulting in major end-organ damage and increased mortality. Currently, no data exists focussing on the presentation, long-term management and progression of SLE in the Australian paediatric population.

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Online health literacy resources for people with intellectual disability: protocol for a grey literature scoping review

People with intellectual disability are at risk of poor physical and mental health. Risks to health are compounded by poor health literacy, that is, reduced capacity to access health services, respond quickly to changes in health status and navigate care pathways. Building health literacy skills is a strength-based way to increase health and optimise the use of healthcare services. The internet is a primary source of health information for many people, including people with intellectual disability and their families. 

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Survival Outcomes of Children with Relapsed or Refractory Myeloid Leukemia Associated with Down syndrome

Children with Down syndrome (DS) are at a significantly higher risk of developing acute myeloid leukemia, also termed myeloid leukemia associated with DS (ML-DS). In contrast to the highly favorable prognosis of primary ML-DS, the limited data that are available for children who relapse or who have refractory ML-DS (r/r ML-DS) suggest a dismal prognosis. There are few clinical trials and no standardized treatment approach for this population.

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Use of Neuroimaging to Predict Adverse Developmental Outcomes in High-Risk Infants

With advances in perinatal care, we have achieved major reductions in mortality in premature and critically ill infants, but they still remain at increased risk of neurodevelopmental disability. In this context, recent advances in neuroimaging are perceived as an addition of significant value to current clinical developmental screening programs.

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Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities

Reading Disability is often characterized by difficulties in the phonology of the language. While the molecular mechanisms underlying it are largely undetermined, loci are being revealed by genome-wide association studies.

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Respiratory Health Inequities among Children and Young Adults with Cerebral Palsy in Aotearoa New Zealand: A Data Linkage Study

Respiratory disease is a leading cause of morbidity, mortality, and poor quality of life in children with cerebral palsy (CP). This study describes the prevalence of CP-related respiratory disease and the non-modifiable risk factors for respiratory-related hospital admissions in the Aotearoa New Zealand population.

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International Consensus Recommendations for the Assessment and Management of Individuals With CDKL5 Deficiency Disorder

CDKL5 Deficiency Disorder (CDD) is a rare, X-linked dominant condition that causes a developmental and epileptic encephalopathy (DEE). The incidence is between ~ 1:40,000 and 1:60,000 live births. Pathogenic variants in CDKL5 lead to seizures from infancy and severe neurodevelopmental delay.

Research

Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015

Preterm birth is a global public health problem with a significant burden on the individuals affected. The study aimed to extend current research on preterm birth prognostic model development by developing and internally validating models using machine learning classification algorithms and population-based routinely collected data in Western Australia.