Evidence map›Paper›PMID 32363635›Full record

ArticleAlimentary pharmacology & therapeutics2020

Predicted efficacy of a pharmacogenetic passport for inflammatory bowel disease.

Amber Bangma, Michiel D Voskuil, Werna T C Uniken Venema, Harm Brugge, Shixian Hu, Pauline Lanting, Lude Franke, Gerard Dijkstra, Eleonora A M Festen, Rinse K Weersma

Open access · hybridAbstract read
In one paragraph

Article in Alimentary pharmacology & therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Amber BangmaDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-6422-4343
Michiel D VoskuilDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-9285-9573
Werna T C Uniken VenemaDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-1515-0920
Harm BruggeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Shixian HuDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-1190-0325
Pauline LantingDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Lude FrankeDepartment of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-5159-8802
Gerard DijkstraDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-4563-7462
Eleonora A M FestenDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-3255-6930
Rinse K WeersmaDepartment of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-7928-7371
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh inter-individual variability in therapeutic response to drugs used in the management of Inflammatory Bowel Disease (IBD) leads to high morbidity and high costs. Genetic variants predictive of thiopurine-induced myelosuppression, thiopurine-induced pancreatitis and immunogenicity of Tumour Necrosis Factor alpha (TNFα) antagonists have been identified, but uptake of pre-treatment pharmacogenetic testing into clinical guidelines has been slow.

aimTo explore the efficacy of a pharmacogenetic passport for IBD that includes multiple pharmacogenetic predictors of response.

methodsPatients with IBD exposed to thiopurines and/or TNFα antagonists were retrospectively evaluated for the presence of thiopurine toxicity and/or immunogenicity of TNFα antagonists. All patients were genotyped using both whole-exome sequencing and the Illumina Global Screening Array. An in-house-developed computational pipeline translated genetic data into an IBD pharmacogenetic passport that predicted risks for thiopurine toxicity and immunogenicity of TNFα antagonists per patient. Using pharmacogenetic-guided treatment guidelines, we calculated clinical efficacy estimates for pharmacogenetic testing for IBD.

resultsAmong 710 patients with IBD exposed to thiopurines and/or TNFα antagonists, 150 adverse drug responses occurred and our pharmacogenetic passport would have predicted 54 (36%) of these. Using a pharmacogenetic passport for IBD that includes genetic variants predictive of thiopurine-induced myelosuppression, thiopurine-induced pancreatitis, and immunogenicity of TNFα antagonists, 24 patients need to be genotyped to prevent one of these adverse drug responses.

conclusionsThis study highlights the clinical efficacy of a pharmacogenetic passport for IBD. Implementation of such a pharmacogenetic passport into clinical management of IBD may contribute to a reduction in adverse drug responses.

Indexed as

TranscriptomeAdolescentAdultAgedBiomarkers, PharmacologicalCase-Control StudiesFemaleGenotypeHumansImmunosuppressive AgentsInflammatory Bowel DiseasesMaleMiddle AgedPharmacogenomic TestingPharmacogenomic VariantsPredictive Value of TestsBiomarkers, PharmacologicalImmunosuppressive Agents

Identifiers

PMID32363635
PMCPMC7318341
OpenAlexW3023393631

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.