2017
DOI: 10.1186/s40360-017-0182-1
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Generic-reference and generic-generic bioequivalence of forty-two, randomly-selected, on-market generic products of fourteen immediate-release oral drugs

Abstract: BackgroundThe extents of generic-reference and generic-generic average bioequivalence and intra-subject variation of on-market drug products have not been prospectively studied on a large scale.MethodsWe assessed bioequivalence of 42 generic products of 14 immediate-release oral drugs with the highest number of generic products on the Saudi market. We conducted 14 four-sequence, randomized, crossover studies on the reference and three randomly-selected generic products of amlodipine, amoxicillin, atenolol, cep… Show more

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Cited by 23 publications
(30 citation statements)
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“…The PK and PD similarities between the licensed Xgeva ® products and those of the biosimilar substantiate the use of the biosimilars in phase III clinical studies ( Davit et al, 2008 ; Karalis et al, 2012 ). The inter-CV value of denosumab among Chinese subjects is high, and it is recommended that in future studies, the sample size of 152 to 180 subjects is sufficient to study the bioequivalence of denosumab biosimilar in each group, considering inter-CV (28.8–39.5%) ( Liu et al, 2012 ; Al-Sabbagh et al, 2016 ; Hammami et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…The PK and PD similarities between the licensed Xgeva ® products and those of the biosimilar substantiate the use of the biosimilars in phase III clinical studies ( Davit et al, 2008 ; Karalis et al, 2012 ). The inter-CV value of denosumab among Chinese subjects is high, and it is recommended that in future studies, the sample size of 152 to 180 subjects is sufficient to study the bioequivalence of denosumab biosimilar in each group, considering inter-CV (28.8–39.5%) ( Liu et al, 2012 ; Al-Sabbagh et al, 2016 ; Hammami et al, 2017 ).…”
Section: Discussionmentioning
confidence: 99%
“…Using simulations, it was shown, in a cross-over trial conducted in 24 subjects, that as many as 60% of the individuals can, on average, be outside the range of BE (0.7-1.3 for this simulation) and yet still satisfy the regulatory criteria for ABE [9]. That this is not merely a speculative academic exercise has been demonstrated recently by the results of 14 four-sequence cross-over studies for a range of drugs [11]. In this large set of trials, involving 700 subjects, it was reported that the percentage of individual area under the curve (AUC) values outside the 0.8-1.25 a priori BE range was 16% on average and ranged from 2% for cephalexin to 35% for atenolol and clarithromycin.…”
mentioning
confidence: 59%
“…In this large set of trials, involving 700 subjects, it was reported that the percentage of individual area under the curve (AUC) values outside the 0.8-1.25 a priori BE range was 16% on average and ranged from 2% for cephalexin to 35% for atenolol and clarithromycin. For maximum plasma concentration, the average was 32%, with values ranging from 8% for metronidazole up to 57% for diclofenac [11]. This structurally and experimentally proven weakness of the ABE design becomes, in our opinion, a medical issue for drugs such as levothyroxine, classified as narrow therapeutic index drugs.…”
mentioning
confidence: 95%
“…Moreover, we are not mistaken, as Nicolas alleges, when considering that this point has been properly documented by others, demonstrating that, in as many as 60% of individuals in a crossover trial conducted in 24 subjects, the difference between parameters for the two formulations could, on average, be outside the range of BE (0.7-1.3 for this simulation) and yet still satisfy the regulatory criterion of ABE [10]. That this is not merely an academic exercise was shown recently by the results of 14 four-sequence cross-over studies in volunteers receiving a range of drugs [11]. In this large set of trials, involving 700 subjects, it was reported that the percentage of individual AUCs outside the 0.8-1.25 a priori BE range was 16% on average and ranged from 2% for cephalexin to 35% for atenolol and clarithromycin.…”
mentioning
confidence: 74%
“…In this large set of trials, involving 700 subjects, it was reported that the percentage of individual AUCs outside the 0.8-1.25 a priori BE range was 16% on average and ranged from 2% for cephalexin to 35% for atenolol and clarithromycin. For maximal plasma concentration, the average was 32%, with values ranging from 8% for metronidazole up to 57% for diclofenac [11].…”
mentioning
confidence: 98%