Evidence map›Paper›PMID 35570335›Full record

ArticleClinical and translational science2022

Tutorial: Statistical analysis and reporting of clinical pharmacokinetic studies.

Ann-Cathrine Dalgård Dunvald, Ditte Bork Iversen, Andreas Ludvig Ohm Svendsen, Katrine Agergaard, Ida Berglund Kuhlmann, Christina Mortensen, Nanna Elman Andersen, Erkka Järvinen, Tore Bjerregaard Stage

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  6. Affinity- and Format-Dependent Pharmacokinetics ofPharmaceuticals (Basel, Switzerland) · 2026
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  12. Variability in plasma rifampicin concentrations and role ofInfectious diseases (London, England) · 2024
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  13. Advancing Subcutaneous Dosing Regimens for Biotherapeutics: Clinical Strategies for Expedited Market Access.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024
    Review
  14. Article
  15. 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

9 authors at 1 institution in 1 country.

Ann-Cathrine Dalgård DunvaldClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-7574-0909
Ditte Bork IversenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5519-9091
Andreas Ludvig Ohm SvendsenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-8050-6447
Katrine AgergaardDepartment of Regional Health Research, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-4961-4797
Ida Berglund KuhlmannClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
Christina MortensenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-9983-9196
Nanna Elman AndersenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-5750-8911
Erkka JärvinenClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-8970-5194
Tore Bjerregaard StageClinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-4698-4389
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacokinetics is the cornerstone of understanding drug absorption, distribution, metabolism, and elimination. It is also the key to describing variability in drug response caused by drug-drug interactions (DDIs), pharmacogenetics, impaired kidney and liver function, etc. This tutorial aims to provide a guideline and step-by-step tutorial on essential considerations when designing clinical pharmacokinetic studies and reporting results. This includes a comprehensive guide on how to conduct the statistical analysis and a complete code for the statistical software R. As an example, we created a mock dataset simulating a clinical pharmacokinetic DDI study with 12 subjects who were administered 2 mg oral midazolam with and without an inducer of cytochrome P450 3A. We provide a step-by-step guide to the statistical analysis of this clinical pharmacokinetic study, including sample size/power calculation, descriptive statistics, noncompartmental analyses, and hypothesis testing. The different analyses and parameters are described in detail, and we provide a complete R code ready to use in supplementary files. Finally, we discuss important considerations when designing and reporting clinical pharmacokinetic studies. The scope of this tutorial is not limited to DDI studies, and with minor adjustments, it applies to all types of clinical pharmacokinetic studies. This work was done by early career researchers for early career researchers. We hope this tutorial may help early career researchers when getting started on their own pharmacokinetic studies. We encourage you to use this as an inspiration and starting point and continuously evolve your statistical skills.

Indexed as

Cytochrome P-450 CYP3AModels, BiologicalCytochrome P-450 CYP3A InhibitorsDrug InteractionsHumansMidazolamCytochrome P-450 CYP3ACytochrome P-450 CYP3A InhibitorsMidazolam

Identifiers

PMID35570335
PMCPMC9372427
OpenAlexW4280546967

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.