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Patients experience of and participation in a stroke self-management programme, My Life After Stroke (MLAS): a multimethod study
Conclusions MLAS was a positive experience for participants but many stroke survivors did not feel it was appropriate for them. Participation in self-management programmes after stroke might be improved by offering them sooner after the stroke and providing a range of delivery options beyond group-based, face-to-face learning. Trial registration number NCT03353519, NIH.
Source: BMJ Open - November 15, 2022 Category: General Medicine Authors: Blatchford, E. G., Aquino, M. R. J., Grant, J., Johnson, V., Mullis, R., Lim, L., Mant, J. Tags: Open access, Public health Source Type: research

Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach
Conclusions: The stroke risk in AF patients treated with NOAC could be predicted based on comorbidities like ischemic heart diseases, urinary tract infections, and dementia additionally to age and male sex. Knowing and addressing these factors may help reduce the risk of stroke in this patient population.Neuroepidemiology
Source: Neuroepidemiology - July 21, 2021 Category: Epidemiology Source Type: research

'BeAWARE': supporting non-clinical staff within general practice to promptly identify patients presenting with warning signs of heart attack or stroke.
DISCUSSION: BeAWARE fulfils a practice gap in patient safety by improving non-clinical staff's knowledge, confidence and intended action in response to patients presenting with heart attack or stroke warning signs. PMID: 24897991 [PubMed - in process]
Source: Australian Family Physician - June 1, 2014 Category: Primary Care Authors: Poulter C, Stewart M, Fitzpatrick C, Keech W, Stavreski B, Grenfell R Tags: Aust Fam Physician Source Type: research

Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
CONCLUSION: The stroke risk in patients with epilepsy was relatively high and could be predicted based on comorbidities such as diabetes mellitus, hypertension, heart failure, and alcohol dependence. Knowing and addressing these factors may help reduce the risk of stroke in patients with epilepsy.PMID:34325155 | DOI:10.1016/j.yebeh.2021.108211
Source: Epilepsy and Behaviour - July 29, 2021 Category: Neurology Authors: Karel Kostev Tong Wu Yue Wang Kal Chaudhuri Christian Tanislav Source Type: research

Neuroimaging and Neurolaw: Drawing the Future of Aging
Vincenzo Tigano1, Giuseppe Lucio Cascini2, Cristina Sanchez-Castañeda3, Patrice Péran4 and Umberto Sabatini5* 1Department of Juridical, Historical, Economic and Social Sciences, University of Magna Graecia, Catanzaro, Italy 2Department of Experimental and Clinical Medicine, University of Magna Graecia, Catanzaro, Italy 3Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain 4ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France 5Department of Medical and Surgical Sciences, University of Magna Graecia, Catanzaro, ...
Source: Frontiers in Endocrinology - April 7, 2019 Category: Endocrinology Source Type: research

Neither ibuprofen nor steam improves symptom control compared with paracetamol in patients with acute respiratory tract infections in primary care
Commentary on: Little P, Moore M, Kelly J, et al.. Ibuprofen, paracetamol, and steam for patients with respiratory tract infections in primary care: pragmatic randomised factorial trial. BMJ 2013;347:f6041. Context The achievement of symptom control in patients with respiratory infections is an ongoing challenge, particularly within primary care. Patients and clinicians often view antibiotics, alongside other supportive medication, as the most expeditious intervention to achieve this goal. While we have learnt that antibiotics provide only very limited benefit in cases when bacterial infection is not suspected,1 2 the effe...
Source: Evidence-Based Medicine - May 19, 2014 Category: Internal Medicine Authors: Schuetz, P. Tags: General practice / family medicine, Influenza, Otitis, Pain (neurology), Stroke, Ischaemic heart disease, Pain (palliative care), Drugs: musculoskeletal and joint diseases, Ear, nose and throat/otolaryngology Therapeutics Source Type: research

Low to moderate quality evidence demonstrates the potential benefits and adverse events of cannabinoids for certain medical indications
Commentary on: Whiting PF, Wolff RF, Deshpande S, et al.. Cannabinoids for medical use: a systematic review and meta-analysis. JAMA 2015;313:2456–73. Context As of September 2015, 23 states and the District of Columbia in the USA legalised the medicinal use of marijuana, underscoring the need for physicians to understand the science underlying medical marijuana as well as the practical issues associated with it. For years policymakers, scientists and physicians alike have debated the potential risks associated with marijuana use.1 Now marijuana's utility as a treatment for certain medical indications has taken focus....
Source: Evidence-Based Medicine - January 22, 2016 Category: Internal Medicine Authors: Hill, K. P., Hurley-Welljams-Dorof, W. M. Tags: Sexual transmitted infections (viral), Clinical trials (epidemiology), General practice / family medicine, Genetics, Immunology (including allergy), HIV/AIDS, Drugs: CNS (not psychiatric), Pain (neurology), Sleep disorders (neurology), Stroke, Ophthalmolo Source Type: research

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years
Conclusions This is an under-reported research area and the findings suggest the codes’ usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.
Source: BMJ Open - July 25, 2022 Category: General Medicine Authors: Zghebi, S. S., Reeves, D., Grigoroglou, C., McMillan, B., Ashcroft, D. M., Parisi, R., Kontopantelis, E. Tags: Open access, General practice / Family practice Source Type: research

Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review
This study will employ an equity-lens to identify sources of bias (ie, race/ethnicity, gender and social stratum) in ML algorithms designed to improve CVD risk assessment relative to the FRS. A comprehensive literature search will be completed using MEDLINE, Embase and IEEE to answer the research question: do AI algorithms that are designed for the estimation of CVD risk and that compare performance with the FRS address the sources of bias inherent in the FRS? No study date filters will be imposed on the search, but English language filters will be applied. Studies describing a specific algorithm or ML approach that provid...
Source: BMJ Open - May 31, 2023 Category: General Medicine Authors: Garcha, I., Phillips, S. P. Tags: Open access, General practice / Family practice Source Type: research