Evidence map›Paper›PMID 39587445›Full record

ReviewBritish journal of clinical pharmacology2025

Applying the estimand framework to clinical pharmacology trials with a case study in bioequivalence.

Helle Lynggaard, Sue McKendrick, Mark Baird, Essam Kerwash, Vivian Lanius, Florian Lasch, David Wright

Abstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

7 authors.

Helle LynggaardBiostatistics, Novo Nordisk A/S, Denmark.ORCID https://orcid.org/0000-0002-2006-3928
Sue McKendrickPPD Clinical Research Business, Thermo Fisher Scientific, UK.ORCID https://orcid.org/0009-0000-6414-6306
Mark BairdClinical Research Business, Thermo Fisher Scientific, UK.
Essam KerwashMedicines and Healthcare products Regulatory Agency, UK.ORCID https://orcid.org/0000-0003-4368-8565
Vivian LaniusClinical Statistics and Analytics, Bayer AG, Germany.ORCID https://orcid.org/0000-0002-3935-8187
Florian LaschEuropean Medicines Agency, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-4889-0212
David WrightStatistical Innovation, Respiratory and Immunology Biometrics and Statistical Innovation, Biopharmaceuticals R&D, AstraZeneca, Cambridge, UK.ORCID https://orcid.org/0000-0003-1990-888X

Funding

AstraZenecaNovo NordiskPPD Clinical Research Business
6 · The paper itself

Abstract

The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use has published an addendum on estimands and sensitivity analysis in clinical trials along with related training materials. These define an estimand as a precise description of the treatment effect that reflects the scientific question of interest. In December 2022, the US Food and Drug Administration released draft guidance recommending estimands of interest be specified in bioequivalence trial protocols. However, experience in implementing estimands in clinical pharmacology trials is limited and so we introduce estimands and provide step-by-step considerations about the estimand thinking process in this setting. We also describe a particular case study, a bioequivalence trial, illustrating how the estimand framework can provide transparency and alignment throughout the design, conduct and analysis of the trial. This involves discussion of how to identify and handle intercurrent events, which are events that can affect interpretation of the drug or metabolite endpoints. Furthermore, we discuss the broader applicability of the estimand framework to other clinical pharmacology trials. Finally, we encourage further discussion between industry, academia, regulators and the International Council for Harmonisation on whether the estimand framework should be considered in all clinical pharmacology regulatory guidance documents.

Indexed as

Clinical Trials as TopicPharmacology, ClinicalResearch DesignHumansTherapeutic EquivalencyUnited StatesUnited States Food and Drug Administrationbioequivalenceclinical pharmacologyestimandICH E9(R1)intercurrent event strategiestarget populationtransparency

Identifiers

PMID39587445
PMCPMC11773105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.