Results 191 to 200 of about 32,814 (251)

Musculoskeletal health among adults with cerebral palsy: A systematic review

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Abstract Aim To describe the burden of, and investigate prognostic factors for, osteoarthritis, osteopenia and/or osteoporosis, spondylosis, and fracture, and to investigate the effectiveness of protocols for monitoring musculoskeletal disorders and interventions for managing osteoarthritis in adults with cerebral palsy (CP).
Jennifer M. Ryan   +11 more
wiley   +1 more source

Sleep health of adults with cerebral palsy: A systematic review

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Although many people with cerebral palsy (CP) are adults, most sleep research in CP focuses on children. As poor sleep can affect pain, mood, energy, daily functioning, and quality of life we reviewed what is currently known about the sleep health of adults with CP. We searched three major research databases (MEDLINE, Embase, and CINAHL) up to February
Deepika Nagabhushan   +7 more
wiley   +1 more source

2025 update to European Stroke Organisation (ESO) guideline on blood pressure management in acute ischaemic stroke and intracerebral haemorrhage. [PDF]

open access: yesEur Stroke J
Sandset EC   +12 more
europepmc   +1 more source

Real‐world completion of diabetes self management education and its impact on patient‐reported outcomes: A scoping review

open access: yesDiabetic Medicine, EarlyView.
Abstract Aims Diabetes self management education (DSME) is recommended for type 2 diabetes, with completion widely accepted as ≥60% engagement. This review utilising PRISMA extension for scoping reviews maps the literature on the impact of full and partial completion of DSME on patient‐reported outcomes (PROMs) versus a control.
Gemma Lewis   +4 more
wiley   +1 more source

A visual framework for classifying adaptive design clinical trials using the GATE frame and PICO terminology. [PDF]

open access: yesDialogues Health
Lora D   +6 more
europepmc   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

open access: yesDiabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor   +3 more
wiley   +1 more source

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