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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

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          Abstract

          Background

          The 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.

          Methods

          We 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, cephalexin, ciprofloxacin, clarithromycin, diclofenac, ibuprofen, fluconazole, metformin, metronidazole, paracetamol, omeprazole, and ranitidine. Geometric mean ratios of maximum concentration (C max) and area-under-the-concentration-time-curve, to last measured concentration (AUC T), extrapolated to infinity (AUC I), or truncated to C max time of reference product (AUC Reftmax) were calculated using non-compartmental method and their 90% confidence intervals (CI) were compared to the 80.00%–125.00% bioequivalence range. Percentages of individual ratios falling outside the ±25% range were also determined.

          Results

          Mean (SD) age and body-mass-index of 700 healthy volunteers (28–80/study) were 32.2 (6.2) years and 24.4 (3.2) kg/m 2, respectively. In 42 generic-reference comparisons, 100% of AUC T and AUC I CIs showed bioequivalence, 9.5% of C max CIs barely failed to show bioequivalence, and 66.7% of AUC Reftmax CIs failed to show bioequivalence/showed bioinequivalence. Adjusting for 6 comparisons, 2.4% of AUC T and AUC I CIs and 21.4% of C max CIs failed to show bioequivalence. In 42 generic-generic comparisons, 2.4% of AUC T, AUC I, and C max CIs failed to show bioequivalence, and 66.7% of AUC Reftmax CIs failed to show bioequivalence/showed bioinequivalence. Adjusting for 6 comparisons, 2.4% of AUC T and AUC I CIs and 14.3% of C max CIs failed to show bioequivalence. Average geometric mean ratio deviation from 100% was ≤3.2 and ≤5.4 percentage points for AUC I and C max, respectively, in both generic-reference and generic-generic comparisons. Individual generic/reference and generic/generic ratios, respectively, were within the ±25% range in >75% of individuals in 79% and 71% of the 14 drugs for AUC T and 36% and 29% for C max.

          Conclusions

          On-market generic drug products continue to be reference-bioequivalent and are bioequivalent to each other based on AUC T, AUC I, and C max but not AUC Reftmax. Average deviation of geometric mean ratios and intra-subject variations are similar between reference-generic and generic-generic comparisons.

          Trial registration

          ClinicalTrials.gov identifier: NCT01344070 (registered April 3, 2011).

          Electronic supplementary material

          The online version of this article (doi:10.1186/s40360-017-0182-1) contains supplementary material, which is available to authorized users.

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          Most cited references58

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            A review of the differences and similarities between generic drugs and their originator counterparts, including economic benefits associated with usage of generic medicines, using Ireland as a case study

            Generic medicines are those where patent protection has expired, and which may be produced by manufacturers other than the innovator company. Use of generic medicines has been increasing in recent years, primarily as a cost saving measure in healthcare provision. Generic medicines are typically 20 to 90% cheaper than originator equivalents. Our objective is to provide a high-level description of what generic medicines are and how they differ, at a regulatory and legislative level, from originator medicines. We describe the current and historical regulation of medicines in the world’s two main pharmaceutical markets, in addition to the similarities, as well as the differences, between generics and their originator equivalents including the reasons for the cost differences seen between originator and generic medicines. Ireland is currently poised to introduce generic substitution and reference pricing. This article refers to this situation as an exemplar of a national system on the cusp of significant health policy change, and specifically details Ireland’s history with usage of generic medicines and how the proposed changes could affect healthcare provision.
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              Comparing generic and innovator drugs: a review of 12 years of bioequivalence data from the United States Food and Drug Administration.

              In the US, manufacturers seeking approval to market a generic drug product must submit data demonstrating that the generic formulation provides the same rate and extent of absorption as (ie, is bioequivalent to) the innovator drug product. Thus, most orally administered generic drug products in the US are approved based on results of one or more clinical bioequivalence studies. To evaluate how well the bioequivalence measures of generic drugs approved in the US over a 12-year period compare with those of their corresponding innovator counterparts. This retrospective analysis compared the generic and innovator bioequivalence measures from 2070 single-dose clinical bioequivalence studies of orally administered generic drug products approved by the Food and Drug Administration (FDA) from 1996 to 2007 (12 y). Bioequivalence measures evaluated were drug peak plasma concentration (C(max)) and area under the plasma drug concentration versus time curve (AUC), representing drug rate and extent of absorption, respectively. The generic/innovator C(max) and AUC geometric mean ratios (GMRs) were determined from each of the bioequivalence studies, which used from 12 to 170 subjects. The GMRs from the 2070 studies were averaged. In addition, the distribution of differences between generic means and innovator means was determined for both C(max) and AUC. The mean +/- SD of the GMRs from the 2070 studies was 1.00 +/- 0.06 for C(max) and 1.00 +/- 0.04 for AUC. The average difference in C(max) and AUC between generic and innovator products was 4.35% and 3.56%, respectively. In addition, in nearly 98% of the bioequivalence studies conducted during this period, the generic product AUC differed from that of the innovator product by less than 10%. The criteria used to evaluate generic drug bioequivalence studies support the FDA's objective of approving generic drug formulations that are therapeutically equivalent to their innovator counterparts.
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                Author and article information

                Contributors
                +966-1-442-4527 , Muhammad@kfshrc.edu.sa
                jehans@kfshrc.edu.sa
                rajaa@kfshrc.edu.sa
                gaai@kfshrc.edu.sa
                nkhodr74@kfshrc.edu.sa
                ralswayeh@kfshrc.edu.sa
                salvi@kfshrc.edu.sa
                nbinhashim@kfshrc.edu.sa
                Journal
                BMC Pharmacol Toxicol
                BMC Pharmacol Toxicol
                BMC Pharmacology & Toxicology
                BioMed Central (London )
                2050-6511
                8 December 2017
                8 December 2017
                2017
                : 18
                : 78
                Affiliations
                [1 ]ISNI 0000 0001 2191 4301, GRID grid.415310.2, Clinical Studies and Empirical Ethics Department, King Faisal Specialist Hospital and Research Center, ; P O Box # 3354, MBC 03, Riyadh, 11211 Saudi Arabia
                [2 ]ISNI 0000 0004 1758 7207, GRID grid.411335.1, Alfaisal University College of Medicine, ; Riyadh, Saudi Arabia
                Author information
                http://orcid.org/0000-0002-0086-5819
                Article
                182
                10.1186/s40360-017-0182-1
                5721559
                29216899
                f2af70ec-d85c-40af-b020-fbc9a353fb82
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 21 June 2017
                : 22 November 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004919, King Abdulaziz City for Science and Technology;
                Award ID: 10-Bio961-20
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Toxicology
                Toxicology

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