ACDM Annual Conference - Summary

PHASTAR recently attended the ACDM conference in Brussels.  The programme was full and interesting, with plenty of scope for questions and discussion throughout the day.

There was some time spent reminiscing and reflecting, since two of the presentations covered developments in Clinical Data Management and Coding over the last 30 years.  Taking the time to think back over the changes in the scale and complexity of clinical trials over that timescale, and of course the technological and regulatory advancements in our discipline, was fascinating.  We learnt that coding as we know it today originated with Dr Napke in the 1970s, organising pharmacovigilance reports in pigeonholes.

Continue Reading

Medrio mSquared Conference - Summary

In March 2018, PHASTAR attended mSquared -  Medrio’s annual user conference in San Francisco.  The conference hosted CROs, sponsors and other organisations from around the globe.  It was an opportunity to learn first-hand about Medrio’s new products and features and to get a preview of the work Medrio are doing to further accelerate and enhance processes. There was plenty of opportunity to exchange ideas and user hints and tips at workshops and personalised training sessions.  

Continue Reading

PHASTAR, the ‘five rights’ and personalised medicine

Personalised medicine is a move away from the ‘one size fits all’ approach to the treatment and care of patients, to one which uses new approaches to better manage patients’ health and targets therapies to achieve the best outcomes in the management of a patient’s disease or predisposition to disease[1]. With substantial and increasing medication use globally comes a growing risk of harm associated with such medication[2]. Medication error can be defined as a reduction in the probability of treatment being timely and effective, or an increase in the risk of harm relating to medicines and prescribing compared with generally accepted practice[3]. The Institute for Healthcare Improvement (IHI) has described the ‘five rights’ of medication administration in order to try and reduce medication error. These are; the right patient, the right drug, the right dose, the right route and the right time[4]. Patient centred care, along with this long awaited personalised approach, is now more relevant and necessary than ever as the complexities of the human body are increasingly understood.

Continue Reading

More than just a Subgroup – Applications of Personalised Medicine in Clinical Trial Design

One standard request in larger clinical trials is to assess whether the observed treatment effect in the primary endpoint is consistent across subgroups.  Analyses on subgroups is a widely discussed topic: searching the internet for “subgroup analysis in clinical trials” gives over 700,000 results. The discussion in the majority of these articles revolves around potential pitfalls of subgroup analysis. The idea of subgroup analyses is to test for homogeneity similarity or heterogeneity across the subgroups.

However, there is another type of “subgroup analysis” - where the interest lies in targeting certain patient populations that would benefit from a particular treatment. This is one goal of precision medicine; to effectively screen patients to ensure they are given the most appropriate treatment, based on genetic data (for example, pre-screening patients to identify those that are “biomarker positive” prior to treatment, or to enrol them onto a clinical trial).

Continue Reading

Introduction to Precision Medicine

Precision Medicine

Although the first published results relating genetics to treatment outcomes was in 1902, we are still learning so much about the field of "precision medicine" that there is ongoing debate about its definition and name (e.g. personalised/stratified/P4 - Predictive, Preventive, Personalized and Participatory). The basic premise is that the relationship between how a patient responds to a treatment can be better explained by taking into account data on the patients' molecular profile, environment and lifestyle. Traditional assessment of treatments using randomized clinical trials have generally assumed that there is an average effect across all the patients allocated to that treatment in a trial, a "one size fits all" approach. Of course, we are all unique, and there is no doubt that our health is determined by genetics as well as lifestyle and environmental factors.

Continue Reading