English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Objective: Mining the data contained within Electronic Health Records (EHRs)can potentially generate a greater understanding of medication effects in thereal world, complementing what we know from Randomised control trials (RCTs).We Propose a text mining approach to detect adverse events and medicationepisodes from the clinical text to enhance our understanding of adverse effectsrelated to Clozapine, the most effective antipsychotic drug for the managementof treatment-resistant schizophrenia, but underutilised due to concerns overits side effects. Material and Methods: We used data from de-identified EHRs ofthree mental health trusts in the UK (>50 million documents, over 500,000patients, 2835 of which were prescribed Clozapine). We explored the prevalenceof 33 adverse effects by age, gender, ethnicity, smoking status and admissiontype three months before and after the patients started Clozapine treatment. Wecompared the prevalence of adverse effects with those reported in the SideEffects Resource (SIDER) where possible. Results: Sedation, fatigue, agitation,dizziness, hypersalivation, weight gain, tachycardia, headache, constipationand confusion were amongst the highest recorded Clozapine adverse effect in thethree months following the start of treatment. Higher percentages of alladverse effects were found in the first month of Clozapine therapy. Using asignificance level of (p< 0.05) out chi-square tests show a significantassociation between most of the ADRs in smoking status and hospital admissionsand some in gender and age groups. Further, the data was combined from threetrusts, and chi-square tests were applied to estimate the average effect ofADRs in each monthly interval. Conclusion: A better understanding of how thedrug works in the real world can complement clinical trials and precisionmedicine.

The side effect profile of Clozapine in real world data of three large mental hospitals