Evidence map›Paper›PMID 33733372›Full record

ArticlePharmaceutical research2021

Pharmacometrics-Based Considerations for the Design of a Pharmacogenomic Clinical Trial Assessing Irinotecan Safety.

Iris K Minichmayr, Mats O Karlsson, Siv Jönsson

Open access · hybridAbstract read
In one paragraph

Article in Pharmaceutical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Iris K MinichmayrDepartment of Pharmacy, Uppsala University, Box 580, 75123, Uppsala, Sweden.
Mats O KarlssonDepartment of Pharmacy, Uppsala University, Box 580, 75123, Uppsala, Sweden.
Siv JönssonDepartment of Pharmacy, Uppsala University, Box 580, 75123, Uppsala, Sweden. siv.jonsson@farmaci.uu.se.ORCID http://orcid.org/0000-0001-8240-0865
Uppsala University · SE

Funding

Horizon 2020 Framework Programme No. 668353 (U-PGx)
6 · The paper itself

Abstract

purposePharmacometric models provide useful tools to aid the rational design of clinical trials. This study evaluates study design-, drug-, and patient-related features as well as analysis methods for their influence on the power to demonstrate a benefit of pharmacogenomics (PGx)-based dosing regarding myelotoxicity.

methodsTwo pharmacokinetic and one myelosuppression model were assembled to predict concentrations of irinotecan and its metabolite SN-38 given different UGT1A1 genotypes (poor metabolizers: CL

resultsThe magnitude of CL

conclusionsThe presented findings may help to avoid unfeasible trials and to rationalize the design of pharmacogenetic studies.

Indexed as

Research DesignBiological Variation, PopulationBone MarrowClinical Trials as TopicCross-Over StudiesDose-Response Relationship, DrugFeasibility StudiesGlucuronosyltransferaseHumansIrinotecanModels, BiologicalNeutropeniaPharmacogenomic VariantsUGT1A1 EnzymeGlucuronosyltransferaseIrinotecanUGT1A1 Enzymeirinotecan modelneutropeniapharmacogenomicsstudy designUGT1A1

Identifiers

PMID33733372
PMCPMC8057977
OpenAlexW3137853830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.