Evidence map›Paper›PMID 23307587›Full record

ArticleThe AAPS journal2013

Improper selection of a pre-specified primary dose-response analysis delays regulatory drug approval.

Jiang Liu, Pravin Jadhav, Yaning Wang, Jogarao Gobburu

Abstract read
In one paragraph

Article in The AAPS journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jiang LiuDivision of Pharmacometrics, Office of Clinical Pharmacology, CDER, FDA, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA. jiang.liu@fda.hhs.gov
Pravin Jadhav
Yaning Wang
Jogarao Gobburu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dose-response analysis is one of the accepted efficacy endpoints to establish effectiveness. The purpose of this research was to inform selection of an appropriate pre-specified primary dose-response analysis to demonstrate drug efficacy in a registration trial. The power and the type I error rate of the placebo-corrected (i.e., simply adjusting the observed treatment value by subtracting the placebo mean) and the placebo-anchored (i.e., including the placebo data as dose 0 in the regression) slope analyses were assessed based on regulatory submission data for two antihypertensive drugs and simulated data from hypothetical clinical trials. In the simulated hypothetical trials, the impact of different dosing strategies (i.e., the fixed dose versus the weight-based per kilogram dose), sample size, and scenarios governing the drug exposure-response relationship (e.g., E(max), ED(50), and SD) was also evaluated. For each scenario, a total 300 replications were simulated. The placebo-anchored slope analysis is always more powerful to demonstrate effectiveness in all plausible scenarios. The difference between the placebo-anchored and the placebo-corrected analyses was maximum when the studied doses were too high. However, the dose-response analysis is not sensitive to the dosing strategies. Furthermore, the type I error rate of these two methods was also found to be comparable. The design of dose-response studies should carefully consider these results to justify the inclusion of placebo and the analysis method. The pharmaceutical industry and the regulatory agencies are equally responsible for using the appropriate methods of primary analysis and providing justification in the protocol.

Indexed as

Drug ApprovalDrug Dosage CalculationsResearch DesignAdolescentAntihypertensive AgentsBenzimidazolesBiphenyl CompoundsBlood PressureChildClinical ProtocolsComputer SimulationData Interpretation, StatisticalDose-Response Relationship, DrugEndpoint DeterminationHumansLinear ModelsAntihypertensive AgentsBenzimidazolesBiphenyl CompoundscandesartanMetoprololTetrazoles

Identifiers

PMID23307587
PMCPMC3675735

What OpenQuestion holds

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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.