Evidence map›Paper›PMID 40676333›Full record

ArticleEuropean journal of clinical pharmacology2025

Benchmarking non-inferiority design and analysis through the Z-score.

Jin Wang

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Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

1 author.

Jin WangAbbott Medical Devices, 3200 Lakeside Drive, Santa Clara, CA, 95054, USA. jin.wang.x@abbott.com.ORCID http://orcid.org/0000-0002-5627-6642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-inferiority (NI) design and analyses are frequently employed to provide alternative therapy options to patients, ensuring these therapies are not significantly worse in terms of safety and effectiveness compared to the standard therapy. However, unlike superiority analysis, non-inferiority analysis faces the inherent challenge of a potentially irrelevant NI margin. It is not uncommon for the observed control performance to differ significantly from the assumed one, which can render the NI margin irrelevant. The purpose of this paper is to utilize Z-score to investigate this issue.

methodsThis paper proposes using the Z-score to evaluate the NI design and connect the NI design and analysis. This approach provides a benchmark tool that even when actual outcomes differ significantly from assumptions, the NI margin can be moderated to balance clinical relevance and statistical practicality.

resultsIllustrative calibrations and case studies demonstrate the feasibility of this approach, facilitating the transition from NI design to analysis.

conclusionThe Z-score can be used to assess the quality of the NI design and serve as a bridge between NI design and analysis.

Indexed as

BenchmarkingEquivalence Trials as TopicResearch DesignHumansBenchmarkNon-inferiority marginZ-score

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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.