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Adverse event reporting in randomised trials of neuropathic pain: challenges for clinical usefulness of safety data

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Background

Monitoring the safety of therapies is of paramount importance in protecting patients from harm and enabling risk-benefit assessment. The recording and reporting of measures of efficacy has received considerable attention and while by no means perfect, has advanced further than the parallel assessment of harm. The stimulus for this study came from a commissioned effectiveness and cost-effectiveness review of treatments for neuropathic pain in patients (the CEAN study) [1]. CEAN noted that the completeness of adverse event (AE) reporting varied between trials and some expert opinion was required where primary data were insufficient for modeling cost-effectiveness. Further, clinicians indicated that trials sometimes failed to provide adequate information for clinical decision-making and informing patients.

Objectives

To describe how AE data are collected and reported. To explore results post-2004 (when regulatory requirements regarding collection and reporting of AEs for RCTs were in place)

Methods

Relevant CEAN study publications (RCTs of anticonvulsants and antidepressants for post herpetic neuralgia and painful diabetic neuropathy) with separable primary data on impact on pain. Items for data extraction were generated using recommendations set out in CONSORT 2004 [2]. Additional information extracted sought to determine the criteria used by authors to select AEs for reporting (e.g. significant differences), the mode of collection (e.g. observation or questionnaire) and how they were collected (e.g. passively, actively (prompted). Double data extraction was performed.

Results

53 publications were included, 12 were published post 2004. Key results are presented in Tables 1 and 2. A subset of the recommendations laid out in CONSORT 2004 were not adhered to by any of the publications. The collection method impacts on the number of AEs reported by patients and this was poorly reported by the majority of trials. The criteria used by authors for reporting AEs varied substantially across publications.

Table 1 Table 1
Table 2 Criteria used to select AEs for reporting

Conclusion

Synthesis of AE data across studies is hampered by the lack of information on collection methods and by arbitrary heterogeneous criteria used by authors for selecting AEs to be reported. In order to improve the usefulness of AE data reported by publications, validated methods for collection need to be developed, and core AEs for reporting need to be agreed. Online journal supplements can be utilised to overcome journal space limitations. The issues highlighted by this case study are likely to be relevant for AE reporting in RCTs in general, although solutions will likely need to be tailored to specific therapeutic-disease areas.

References

  1. 1.

    Fox-Rushby JA, Griffith GL, Ross JR, Peacock JL, Farquhar-Smith P, Jones T: The efficacy and cost-effectiveness of different treatment pathways for neuropathic pain: systematic review and economic modelling of post-herpetic neuralgia and painful diabetic neuropathy. Health Technol Assess. 2011,

  2. 2.

    Ioannidis JPA, Evans SJW, Gotzsche PC, O’Neill RT, Altman DG, Schulz K, Moher D, CONSORT Group: Better reporting of harms in randomized trials: an extension of the CONSORT statement. Ann Intern Med. 2004, 141 (10): 781-8.

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Author information

Correspondence to Victoria R Cornelius.

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This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Cornelius, V.R., Sauzet, O., Ayis, S. et al. Adverse event reporting in randomised trials of neuropathic pain: challenges for clinical usefulness of safety data. Trials 12, A12 (2011) doi:10.1186/1745-6215-12-S1-A12

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Keywords

  • Neuropathic Pain
  • Primary Data
  • Diabetic Neuropathy
  • Collection Method
  • Adverse Event Reporting

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