Pharmaceutical Medicine最新文献

In recent years, there has been a swift rise in the development of digital therapies (DTx). As a result of various technological advances and accessibility to patients, it is now possible to develop and offer therapeutic interventions in a digital manner. These take the form of an evidence-based intervention that is administered in digital form to prevent, manage, or treat a medical condition. What makes DTx significantly different from other types of digital applications or services (e.g., wellness applications) is that they are interventions authorised by regulatory agencies for the treatment, like a drug, of a health condition. Yielding actual therapeutic benefits and being at the crossroads of health and digital means that DTx are subject to both the upsides and downsides of both sectors. Thus, it is of particular interest to look at the facilitators and barriers to be foreseen in the development, assessment, and implementation of DTx. In this article, we will present key observations and outline the main challenges that may be faced in the development and integration of DTx into practice. It is certain that DTx can represent an interesting avenue for physicians to bring their prescribing role into the 21st century. We conclude with broad lessons that the emerging field of DTx can learn from decades of drug industry practice to avoid history repeating itself and to fast-track the development and ethical and optimal use of DTx.

Screening for drug-induced hyperprolactinaemia, a condition characterised by higher-than-normal levels of serum prolactin induced by drug treatments, requires a comprehensive understanding of the clinical presentations and long-term complications of the condition. Using two databases, Embase and MEDLINE, we summarised the available evidence on the clinical presentations and long-term complications of drug-induced hyperprolactinaemia. Clinical and observational studies reporting on drug treatments known or suspected to induce hyperprolactinaemia were included. Database searches were limited to the English language; no date or geographic restrictions were applied. Fifty studies were identified for inclusion, comprising a variety of study designs and patient populations. Most data were reported in patients treated with antipsychotics, but symptoms were also described among patients receiving other drugs, such as prokinetic drugs and antidepressants. Notably, the diagnosis of drug-induced hyperprolactinaemia varied across studies since a standard definition of elevated prolactin levels was not consistently applied. Frequent clinical presentations of hyperprolactinaemia were menstrual cycle bleeding, breast or lactation disorders, and sexual dysfunctions, described in 80% (40/50), 74% (37/50), and 42% (21/50) of the included studies, respectively. In the few studies reporting such symptoms, the prevalence of vaginal dryness impacted up to 53% of females, and infertility in both sexes ranged from 15 to 31%. Clinicians should be aware of these symptoms related to drug-induced hyperprolactinaemia when treating patients with drugs that can alter prolactin levels. Future research should explore the long-term complications of drug-induced hyperprolactinaemia and apply accepted thresholds of elevated prolactin levels (i.e., 20 ng/mL for males and 25 ng/mL for females) to diagnose hyperprolactinaemia as a drug-induced adverse event.Trial Registration PROSPERO International Prospective Register Of Systematic Reviews (CRD42021245259).

European pharmaceutical companies have a legal requirement to provide non-promotional medical information (MI) services to support healthcare professionals (HCPs) using their medicinal products. While we are seeing an increased HCP preference and expectation towards digital channels, the lack of a compliance framework relating to the provision of non-promotional MI services is a key factor complicating and compromising the ability for companies to meet this need. Meanwhile, the internet is dominated by a large volume of unregulated, easy access, and potentially low-quality information from diverse sources. The Medical Information Leaders in Europe (MILE) association is therefore proposing a framework of principles to support pharmaceutical companies with the digital provision of MI services; these relate to digital access to non-promotional, medicinal product information to support clinical decision making and patient care. The three established European national MI associations have already considered the framework and expressed their endorsement. MILE continues to invite stakeholders, including pharmaceutical companies, regulators, national industry associations and healthcare professional bodies to engage and help refine and implement this framework. This publication does not constitute legal advice; decision making and accountability remains with each pharmaceutical company.

Problematic gambling has been suggested to be a possible consequence of dopaminergic medications used mainly in neurological conditions, i.e. pramipexole and ropinirole, and possibly by one antipsychotic compound, aripiprazole. Patients with Parkinson's disease, restless legs syndrome and other conditions potentially treated with dopamine agonists, as well as patients treated for psychotic disorders, are vulnerable patient groups with theoretically increased risk of developing gambling disorder (GD), for example due to higher rates of mental ill-health in these groups. The aim of the present paper is to review the epidemiological, clinical, and neurobiological evidence of the association between dopaminergic medications and GD, and to describe risk groups and treatment options. The neurobiology of GD involves the reward and reinforcement system, based mainly on mesocorticolimbic dopamine projections, with the nucleus accumbens being a crucial area for developing addictions to substances and behaviors. The addictive properties of gambling can perhaps be explained by the reward uncertainty that activates dopamine signaling in a pathological manner. Since reward-related learning is mediated by dopamine, it can be altered by dopaminergic medications, possibly leading to increased gambling behavior and a decreased impulse control. A causal relationship between the medications and GD seems likely, but the molecular mechanisms behind this association have not been fully described yet. More research is needed in order to fully outline the clinical picture of GD developing in patient groups with dopaminergic medications, and data are needed on the differentiation of risk in different compounds. In addition, very few interventional studies are available on the management of GD induced by dopaminergic medications. While GD overall can be treated, there is need for treatment studies testing the effectiveness of tapering of the medication or other gambling-specific treatment modalities in these patient groups.

Background: The concept of health care innovation varies across organizations and countries. Harmonizing the definitions of innovation can augment the discovery of new therapies, minimize costs, and streamline drug development and approval processes. A systematic literature review (SLR) was conducted to gather insights surrounding different elements of innovation in the USA, the UK, France, Germany, and Japan. The SLR identified studies that have defined innovation and captured the types of incentives provided to promote innovation.

Methods: The MEDLINE, Embase, and EconLit databases were searched via the OVID SP platform on October 22, 2020. A secondary desk search literature review was performed to identify additional information of interest in regional languages: French, German, and Japanese. All the relevant literature in English was screened using the Linguamatics natural language processing (NLP) tool, except for articles from EconLit, which were screened manually using structured search strategies. Articles that describe a definition of innovation or refer to a definition of innovation published were included. All full-text articles were reviewed manually, and two reviewers independently screened the full texts for eligibility.

Results: After screening, 90 articles were considered to meet the SLR objectives. The most common dimension of innovation identified was therapeutic benefit as a measure of innovation, followed by newness and novelty aspects of innovations. Incentives around exclusivities were found to be the most prevalent in the data set, followed by rewards and premiums. Among the different therapy areas, the largest number of innovations was targeted at oncology.

Conclusions: This SLR highlights the lack of a unified definition of innovation among regulatory authorities and health technology assessment bodies in five countries, and variation in the types of incentives associated with innovation. The targeted countries cover different dimensions of definition and incentives of innovation at varying levels, with a few focused on specific therapy areas. Harmonization and consensus for innovation would be needed across countries because drug development is a global undertaking. This SLR envisages a more holistic approach to evaluation, wherein the value provided to patients and health systems is accounted for. The results of this SLR will help to promote broader discussion among different stakeholders and decision makers across countries to identify gaps in policies and develop sustainable strategies to promote innovation for pharmaceutical products.

A variety of clinical and laboratory measures can be used in clinical trials to assess the benefit of a new treatment over the standard of care. Data from clinical studies are often analyzed by combining individual outcomes into one primary outcome. That primary outcome is then referred to as a composite endpoint or a combined endpoint. We propose an analysis on the composite endpoint with Gehan's (1965) ranking approach where each subject in the treatment group is compared with each subject in the control group in a pair-wise manner. Our approach reduces computational time and complexity to construct a subject-level pairwise composite score. We develop a statistical testing procedure for the analysis of composite endpoints when using the hierarchical scores. In this article, we propose two tests (a parametric test and a non-parametric bootstrap procedure) for evaluating the effect of treatment. The proposed parametric test has an asymptotic F-distribution based on standard statistical assumptions. We conduct an extensive simulation study to assess the operating characteristics of the proposed methods and to compare them with an existing method. We illustrate the methods using publicly available data from two clinical studies.

Currently, pediatric research involving investigational gene therapies (GT, used without intending to imply a therapeutic effect) targets a broad range of indications (including rare and ultra-rare diseases) that vary in severity and availability of approved disease-modifying therapies. Because of this diversity of circumstances, there is no one-size-fits-all list of ethical concerns relevant to all uses of investigational GTs in children. Here, we review the main ethical issues, specifically those surrounding the current state of knowledge about GT product-related immunogenicity, toxicity, duration, irreversibility, informed consent/assent, trial design (including the question of who 'goes first'), participant and caregiver burdens, and equity in diagnosis and access to research opportunities. Ethical issues that can be anticipated to arise in pediatric GT clinical trials, e.g., the uncertainty and risk of this research, the resultant preclusion of GT trial participants from other research, the length of follow-up monitoring, and the urgency often felt by caregivers dealing with dire, rapidly progressive conditions, should be proactively identified, addressed in accordance with existing best practices, and transparently discussed among all stakeholders.

Real-world evidence (RWE) is clinical evidence on a medical product's safety and efficacy that is generated using real-world data (RWD) resulting from routine healthcare delivery. There are several sources of RWD, including electronic health records (EHRs), registries, claims/billing data, and patient-generated data, as well as those from mobile health applications and wearable devices. Real-world data from these sources can be collected and analysed through different study designs such as prospective and retrospective cohort studies, case-control studies, and pragmatic clinical trials. Real-world evidence in the form of post-marketing surveillance has been extensively used to generate pharmacovigilance data. Of late, it has been realised that, apart from safety, RWE has additional applications in different stages of the drug approval cycle, and can be used to optimize the design of randomised controlled trials (RCTs). There has been an increasing awareness and acceptance of RWE from different stakeholders, including physicians, pharmaceutical companies, payers, regulators, and patients. Several regulatory authorities have also created frameworks and guidelines for efficient harnessing of RWE while acknowledging several challenges in RWD collection and analysis. The purpose of this review is to offer an outline of the current information on RWE, its advantages and disadvantages, as well as the associated challenges and ways to overcome them, while also throwing some light on the future of RWE.