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Review

Guidelines in the management of diabetic nerve pain: clinical utility of pregabalin

&
Pages 57-78 | Published online: 22 Feb 2013

Figures & data

Table 1 Odds ratios for efficacy and withdrawal, numbers needed to treat (NNT) and numbers needed to harm (NNH)

Figure 1 Efficacy analysis of drugs used for painful diabetic neuropathy.

Note: Copyright © 2012, MDTEXT.COM, INC. Reproduced with permission from Endotext.org [homepage on the internet]. Darmouth: Chapter 31 – Diabetic Neuropathies; 2012 version [updated September 26, 2012]. Available from: http://www.endotext.org/diabetes/diabetes31/diabetesframe31.htm. Accessed December 12, 2012.Citation154
Figure 1 Efficacy analysis of drugs used for painful diabetic neuropathy.

Table 2 Summary of American Academy of Neurology recommendations

Table 3 Treatment options for symptomatic diabetic polyneuropathy pain dosing and side effects

Table 4 Treatment algorithm for painful diabetic peripheral neuropathy (Toronto Consensus Panel on Diabetic Neuropathy)

Table 5 Tailoring treatment to the patient (Toronto Consensus Panel on Diabetic Neuropathy)

Figure 2 Changes in SF-36 domain scores grouped according to extent of pain relief in patients treated with pregabalin.

Notes: Only SF-36 domains that exhibited significant improvement in response to pregabalin treatment, compared to placebo, are shown. Reprinted from The Journal of Pain. Vinik A, Zlateva G, Cheung R, Murphy K, Emir B, Whalen E. Understanding the impact of pain response on changes in function, quality of life, and sleep interference in patients with painful diabetic peripheral neuropathy and post-herpetic neuralgia treated with pregabalin. 2010;11:S17. Copyright 2010 with permission from Elsevier.Citation20
Figure 2 Changes in SF-36 domain scores grouped according to extent of pain relief in patients treated with pregabalin.

Figure 3 Mediational analysis model, illustrating that the change in SF-36 domain score (overall treatment effect) may be due to a direct effect of pregabalin on that particular SF-36 domain (direct effect) or may be mediated through pregabalin-driven pain relief or improvements in sleep (indirect effects).

Note: Reprinted from The Journal of Pain. Vinik A, Zlateva G, Cheung R, Murphy K, Emir B, Whalen E. Understanding the impact of pain response on changes in function, quality of life, and sleep interference in patients with painful diabetic peripheral neuropathy and post-herpetic neuralgia treated with pregabalin. 2010;11:S17. Copyright 2010 with permission from Elsevier.Citation20
Figure 3 Mediational analysis model, illustrating that the change in SF-36 domain score (overall treatment effect) may be due to a direct effect of pregabalin on that particular SF-36 domain (direct effect) or may be mediated through pregabalin-driven pain relief or improvements in sleep (indirect effects).

Figure 4 Treatment algorithm: neuropathic pain after exclusion of non-diabetic etiologies and stabilization of glycemic control.

Note: Copyright © 2010, The Endocrine Society. Reproduced with permission from Vinik A. The approach to the management of the patient with neuropathic pain. J Clin Endocrinol Metab. 2010;95:4802–4811.Citation70
Abbreviations: IVIg, intravenous immunoglobulin; SNRI, serotonin-noradrenaline reuptake inhibitors; TCA, tricyclic antidepressants.
Figure 4 Treatment algorithm: neuropathic pain after exclusion of non-diabetic etiologies and stabilization of glycemic control.