Evidence map›Paper›PMID 28155028›Full record

ArticleThe AAPS journal2017

The Two Main Goals of Bioequivalence Studies.

Laszlo Endrenyi, Henning H Blume, Laszlo Tothfalusi

Abstract read
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In one paragraph

Article in The AAPS journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Laszlo EndrenyiDepartment of Pharmacology and Toxicology, University of Toronto, 1 King's College Circle, Toronto, Ontario, M5S 1A8, Canada. l.endrenyi@utoronto.ca.
Henning H BlumeSocraTec C&S, Oberursel, Germany.
Laszlo TothfalusiDepartment of Pharmacodynamics, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The principal goal of bioequivalence (BE) investigations has crucial importance and has been the subject of extensive discussions. BE studies are frequently considered to serve as procedures for sensitive discrimination. The BE investigation should be able to provide methods and conditions sensitively identifying relevant differences between drug products if such differences in fact exist. Alternatively, BE studies can be deemed as surrogates of clinical investigations assessing therapeutic equivalence. Bioequivalent drug products will be provided to patients for their benefits. Both points of view are valid since they represent two aspects of product performance. It has been argued that both should be equally sustained and applied. In practice, however, they collide when regulatory conditions and statements are developed. For instance, some regulators prefer to conduct BE studies following single drug administrations since these conditions are considered to provide the highest sensitivity of discrimination between pharmacokinetic profiles and thus, a product's in-vivo performance. Others suggest that, at least for modified-release products, BE investigations should be performed in the steady state since it represents clinical conditions. Preference for one point of view or the other pervades other regulatory statements including suggestions for subjects to be selected in studies and pharmacokinetic measures to be evaluated. An overview is provided on the disturbing inconsistency of statements within and between regulations. It is argued that harmonization would be highly desirable, and relevant recommendations are offered.

Indexed as

Therapeutic EquivalencyArea Under CurveUnited StatesUnited States Food and Drug Administrationbioequivalenceclinical surrogateproduct performanceregulatory expectationssensitive discrimination

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.