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  • Author: L. A. Currie x
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Calibration in analytical chemistry refers to the relation between sample domain and measurement domain (signal domain) expressed by an analytical function x = f s(Q) representing a pattern of chemical species Q and their amounts or concentrations x in a given test sample on the one hand and a measured function y = f(z) that may be a spectrum, chromatogram, etc.

Simultaneous multispecies analyses are carried out mainly by spectroscopic and chromatographic methods in a more or less selective way. For the determination of n species Qi (i = 1,2 …n), at least n signals must be measured which should be well separated in the ideal case. In analytical practice, the situation can be different.

Abstract

Clear reporting of research is crucial to the scientific process. Poorly designed and reported studies are damaging not only to the efforts of individual researchers, but also to science as a whole. Standardised reporting methods, such as those already established for reporting randomised clinical trials, have led to improved study design and facilitated the processes of clinical systematic review and meta-analysis.

Such standards were lacking in the pre-clinical field until the development of the ARRIVE (Animal Research: Reporting In Vivo Experiments) guidelines. These were prompted following a survey which highlighted a widespread lack of robust and consistent reporting of pre-clinical in vivo research, with reports frequently omitting basic information required for study replication and quality assessment.

The resulting twenty item checklist in ARRIVE covers all aspects of experimental design with particular emphasis on bias reduction and methodological transparency. Influential publishers and research funders have already adopted ARRIVE. Further dissemination and acknowledgement of the importance of these guidelines is vital to their widespread implementation.

Conclusions and implications

Wide implementation of the ARRIVE guidelines for reporting of in vivo preclinical research, especially pain research, are essential for a much needed increased transparency and quality in publishing such research. ARRIVE will also positively influence improvements in experimental design and quality, assist the conduct of accurate replication studies of important new findings and facilitate meta-analyses of preclinical research.

Abstract

Background and aims

Pain is a subjective experience, and as such, pre-clinical models of human pain are highly simplified representations of clinical features. These models are nevertheless critical for the delivery of novel analgesics for human pain, providing pharmacodynamic measurements of activity and, where possible, on-target confirmation of that activity. It has, however, been suggested that at least 50% of all pre-clinical data, independent of discipline, cannot be replicated. Additionally, the paucity of “negative” data in the public domain indicates a publication bias, and significantly impacts the interpretation of failed attempts to replicate published findings. Evidence suggests that systematic biases in experimental design and conduct and insufficiencies in reporting play significant roles in poor reproducibility across pre-clinical studies. It then follows that recommendations on how to improve these factors are warranted.

Methods

Members of Europain, a pain research consortium funded by the European Innovative Medicines Initiative (IMI), developed internal recommendations on how to improve the reliability of pre-clinical studies between laboratories. This guidance is focused on two aspects: experimental design and conduct, and study reporting.

Results

Minimum requirements for experimental design and conduct were agreed upon across the dimensions of animal characteristics, sample size calculations, inclusion and exclusion criteria, random allocation to groups, allocation concealment, and blinded assessment of outcome. Building upon the Animals in Research: Reportingin vivo Experiments (ARRIVE) guidelines, reporting standards were developed for pre-clinical studies of pain. These include specific recommendations for reporting on ethical issues, experimental design and conduct, and data analysis and interpretation. Key principles such as sample size calculation, a priori definition of a primary efficacy measure, randomization, allocation concealments, and blinding are discussed. In addition, considerations of how stress and normal rodent physiology impact outcome of analgesic drug studies are considered. Flow diagrams are standard requirements in all clinical trials, and flow diagrams for preclinical trials, which describe number of animals included/excluded, and reasons for exclusion are proposed. Creation of a trial registry for pre-clinical studies focused on drug development in order to estimate possible publication bias is discussed.

Conclusions

More systematic research is needed to analyze how inadequate internal validity and/or experimental bias may impact reproducibility across pre-clinical pain studies. Addressing the potential threats to internal validity and the sources of experimental biases, as well as increasing the transparency in reporting, are likely to improve preclinical research broadly by ensuring relevant progress is made in advancing the knowledge of chronic pain pathophysiology and identifying novel analgesics.

Implications

We are now disseminating these Europain processes for discussion in the wider pain research community. Any benefit from these guidelines will be dependent on acceptance and disciplined implementation across pre-clinical laboratories, funding agencies and journal editors, but it is anticipated that these guidelines will be a first step towards improving scientific rigor across the field of pre-clinical pain research.