The Tamiflu trials

How to use the regulatory data from Health Canada for secondary analyses on new drugs, biologics and vaccines

Incorporating clinical data held by national health product regulatory authorities into secondary analyses such as systematic reviews can help combat publication bias and selective outcome reporting, in turn, supporting more evidence-based decisions regarding the prescribing of drugs, biologics and vaccines. Owing to recent changes in Canadian law, Health Canada has begun to make clinical information-whether it has been previously published or not-publicly available through its 'Public Release of Clinical Information' (PRCI) online database. We provide guidance about how to access and use regulatory data obtained through the PRCI database for the purpose of conducting drug and biologic secondary analyses.

Containing influenza outbreaks with antiviral use in long-term care facilities in Taiwan, 2008-2014

Backgrounds

Influenza can spread rapidly in long‐term care facilities (LTCFs), and residents are usually at higher risk for influenza infections.

Objective

Our study aimed to evaluate the effectiveness of antiviral interventions on outbreak control.

Methods

Taiwan Centers for Disease Control used a syndromic surveillance system to monitor outbreaks in LTCFs. Local public health authorities verified those outbreaks and logged reports to the Epidemic Investigation Report Files Management System (EIRFMS). We conducted a retrospective cohort study by reviewing EIRFMS reports of influenza outbreaks in LTCFs during 2008‐2014. An influenza outbreak was defined as 3 or more cases of influenza‐like illness occurring within a 48‐hours period with ≥1 case of real‐time RT‐PCR‐confirmed influenza in the same LTCF. Antiviral interventions included providing antiviral treatment for patients and antiviral prophylaxis for contacts during outbreaks.

Results

Of 102 influenza outbreaks, median days from onset of the first patient to outbreak notification was 4 (range 0‐22). Median attack rate was 24% (range 2.2%‐100%). Median influenza vaccination coverage among residents was 81% (range 0%‐100%); 43% occurred during the summer months. Even though antiviral treatment was provided in 87% of the outbreaks, antiviral prophylaxis was implemented in only 40%. Starting antiviral treatment within 2 days of outbreak onset was associated with keeping attack rates at <25% (OR 0.29, 95% CI: 0.12‐0.71).

Conclusions

Early initiation of antiviral treatment may reduce the magnitude of influenza outbreaks. Clinicians should identify patients with influenza and start antiviral use early to prevent large outbreaks in LTCFs.

Systematic review finds that study data not published in full text articles have unclear impact on meta-analyses results in medical research

BACKGROUND

A meta-analysis as part of a systematic review aims to provide a thorough, comprehensive and unbiased statistical summary of data from the literature. However, relevant study results could be missing from a meta-analysis because of selective publication and inadequate dissemination. If missing outcome data differ systematically from published ones, a meta-analysis will be biased with an inaccurate assessment of the intervention effect. As part of the EU-funded OPEN project (www.open-project.eu) we conducted a systematic review that assessed whether the inclusion of data that were not published at all and/or published only in the grey literature influences pooled effect estimates in meta-analyses and leads to different interpretation.

METHODS AND FINDINGS

Systematic review of published literature (methodological research projects). Four bibliographic databases were searched up to February 2016 without restriction of publication year or language. Methodological research projects were considered eligible for inclusion if they reviewed a cohort of meta-analyses which (i) compared pooled effect estimates of meta-analyses of health care interventions according to publication status of data or (ii) examined whether the inclusion of unpublished or grey literature data impacts the result of a meta-analysis. Seven methodological research projects including 187 meta-analyses comparing pooled treatment effect estimates according to different publication status were identified. Two research projects showed that published data showed larger pooled treatment effects in favour of the intervention than unpublished or grey literature data (Ratio of ORs 1.15, 95% CI 1.04-1.28 and 1.34, 95% CI 1.09-1.66). In the remaining research projects pooled effect estimates and/or overall findings were not significantly changed by the inclusion of unpublished and/or grey literature data. The precision of the pooled estimate was increased with narrower 95% confidence interval.

CONCLUSIONS

Although we may anticipate that systematic reviews and meta-analyses not including unpublished or grey literature study results are likely to overestimate the treatment effects, current empirical research shows that this is only the case in a minority of reviews. Therefore, currently, a meta-analyst should particularly consider time, effort and costs when adding such data to their analysis. Future research is needed to identify which reviews may benefit most from including unpublished or grey data.

Increasing the Impact of Materials in and beyond Bio-Nano Science

This is an exciting time for the field of bio-nano science: enormous progress has been made in recent years, especially in academic research, and materials developed and studied in this area are poised to make a substantial impact in real-world applications. Herein, we discuss ways to leverage the strengths of the field, current limitations, and valuable lessons learned from neighboring fields that can be adopted to accelerate scientific discovery and translational research in bio-nano science. We identify and discuss five interconnected topics: (i) the advantages of cumulative research; (ii) the necessity of aligning projects with research priorities; (iii) the value of transparent science; (iv) the opportunities presented by "dark data"; and (v) the importance of establishing bio-nano standards.

The evolution in registration of clinical trials: a chronicle of the historical calls and current initiatives promoting transparency

PURPOSE

Quality of care is strongly influenced by evidence-based medicine, a large part of which is based on results obtained from clinical trials. If trials are conducted in secret, patient safety is at risk. Several mandates-legal, editorial, financial, and ethical-have tried to influence the disclosure of clinical trials, first by encouraging registration in publicly accessible registers and, second, by calling for the publication of results. Not all these initiatives have reached high rates of compliance, but the succession of national and international events over a few years gave an important boost to information disclosure. This article provides a chronicle of the succession of the events, from the historical calls to the recent EMA policy and WHO statement, and public consultations requested by the NIH, and the HHS, which will inevitably change the international panorama. The path of these new policies is moving towards more supervised clinical research. Individual scientific institutions can also contribute, at the local level, to such an ethical endeavor as is improving research transparency, by disclosing information on the trials coordinated by their own researchers.

RESULTS

The way is long and complex, but, if everyone contributes there could be a prompt, worldwide diffusion of the findings of clinical trials, and therefore a more possible evidenced-based medicine.

Developments in the treatment of severe influenza: lessons from the pandemic of 2009 and new prospects for therapy

PURPOSE OF REVIEW

Cases of severe influenza may occur during seasonal epidemics, following sporadic zoonotic influenza A transmission from animal reservoirs or on a massive scale with the unpredictable emergence of a new pandemic influenza strain. Clinical experience identifies unmet medical need for additional therapies for influenza, in particular to treat severely unwell adults and children. During and following the pandemic of 2009, a wealth of data from hospitalized cases of influenza from many different countries accumulated and are now starting to emerge. Observational clinical data provide information about the efficacy of existing antiviral drugs in severely ill patients. The development pipeline for new therapies contains several promising agents which are focussed on a range of viral targets, and opens the possibility of combination antiviral therapy for the first time, which may be especially useful in clinically challenging cases. Advances in immunological methods and recombinant protein engineering support the potential for use of immunomodulating therapies as adjuncts in treatment of severe influenza.

RECENT FINDINGS

The main themes are the importance of treating severe influenza early, considering multiple therapy options and the relevance of observational clinical data to treatment of severely ill and risk groups.

SUMMARY

Clinicians, who may have only seen the media headlines following discussion of reviews which deal with randomized controlled trials of neuraminidase inhibitor drug use in mild uncomplicated influenza in the community, may be hesitant to prescribe these drugs. Observational data arising from treatment of severely ill individuals support use of these drugs early in illness and show improvement in outcomes associated with drug use.