Following publication of the Research Article by Astrid W Oosten, Maja Matic, Ron H van Schaik et al. titled ‘Opioid treatment failure in cancer patients: the role of clinical and genetic factors’, which appeared in the August 2016 issue of Pharmacogenomics (Pharmacgenomics 17[13], 1391–1403 [2016]), it has been brought to our attention that the data within , & and the results section ‘Association of treatment failure with clinical and genetic factors in univariate and multivariable analysis All patients’ were published incorrectly.
The corrected tables and results section are shown as follows.
Association of treatment failure with clinical and genetic factors in univariate and multivariable analysis
All patients
In univariate analysis, factors associated with failure of treatment were age (odds ratio [OR]: 0.58; 95% CI: 0.39–0.97; p = 0.039), use of adjuvant pain medication started on T0 or later (OR 3.04; 95% CI: 1.76–5.24; p = 0.000), use of corticosteroids started on T0 or later (OR: 1.95; 95% CI: 1.15–3.29; p = 0.012), pain at rest (category severe pain OR: 3.13; 95% CI: 1.29–7.56; p = 0.011) and worst pain at T0 (category severe pain OR: 3.21; 95% CI: 1.19–8.69; p = 0.022), the MEDD at T0 (Q3: OR: 2.27; 95% CI: 1.04–4.92; p = 0.038 and Q4: OR: 3.10; 95% CI: 1.45–6.63; p = 0.004) and the rs12948783 SNP in RHBDF2 (OR: 0.55; 95% CI: 0.32–0.96; p = 0.035). Of these, the use of adjuvant pain medication (OR: 3.49; p = 0.000), severe pain at rest (OR: 2.67; p = 0.048) and the rs12948783 SNP in RHBDF2 (OR: 0.37; p = 0.056) were (possibly) independent as shown in multivariable analysis (). When the analysis was corrected for opioid dose, results were unchanged.
Table 1. Distribution of clinical factors between patients in whom treatment failed/did not fail for all patients and per type of opioid.
Table 2. Distribution of genotypes between patients in whom treatment failed/did not fail for all patients and per type of opioid.
Table 3. Results of univariate and multivariable analyses for all patients and per type of opioid.
The editors and authors of Pharmacogenomics would like to sincerely apologize for any confusion this may have caused our readers.