Evidence map›Paper›PMID 41074844›Full record

ArticleClinical pharmacology and therapeutics2026

Clinical Implementation of Pharmacogenomics and Drug-Drug Interaction Screening in a German Academic Teaching Hospital and Outpatient Follow-Up.

Roman Tremmel, Filippa Schreeck, Simon Jaeger, Severin Schricker, Elke Schaeffeler, Svitlana Igel, Daniela Steinberger, Manuel Pagitz, Jörg Latus, Markus Ketteler and 4 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

14 authors.

Roman Tremmel *Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0000-0003-1564-0433
Filippa Schreeck *Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0000-0002-9343-6684
Simon JaegerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0000-0003-3312-7596
Severin SchrickerDepartment of General Internal Medicine and Nephrology, Robert Bosch Hospital, Stuttgart, Germany.ORCID 0000-0002-6770-3056
Elke SchaeffelerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0009-0005-2997-0355
Svitlana IgelDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0009-0003-2311-0608
Daniela Steinbergerbio.logis digital health GmbH, Frankfurt am Main, Germany.ORCID 0000-0002-1428-4062
Manuel PagitzDepartment of Gastroenterology, Hepatology, and Endocrinology, Robert Bosch Hospital, Stuttgart, Germany.
Jörg LatusDepartment of General Internal Medicine and Nephrology, Robert Bosch Hospital, Stuttgart, Germany.ORCID 0000-0003-0584-4870
Markus KettelerDepartment for Geriatric Medicine and Rehabilitation, Robert Bosch Hospital, Stuttgart, Germany.ORCID 0000-0002-7214-1895
Kerstin BühlDepartment for Geriatric Medicine and Rehabilitation, Robert Bosch Hospital, Stuttgart, Germany.
Marc-H DahlkeDepartment of General and Visceral Surgery, Robert Bosch Hospital, Stuttgart, Germany.ORCID 0000-0003-4056-7741
Hans-Georg KoppDepartment of Hematology and Medical Oncology, Robert Bosch Hospital, Stuttgart, Germany.ORCID 0000-0002-0825-8888
Matthias SchwabDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.ORCID 0000-0002-9984-075X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics (PGx) helps to explain variability in drug response, including adverse drug reactions. Functional variants in genes affecting drug absorption, distribution, metabolism, and excretion (ADME) have been described. Despite PGx guidelines (e.g., CPIC and DPWG) enabling genotype-guided drug and dose selection, preemptive implementation remains challenging due to various issues including standardized result communication and integration into electronic health record (EHR) systems. We implemented PGx testing as well as drug-drug interaction (DDI) screening in a German academic hospital and assessed their impact on physicians, general practitioners (GPs), and patients. A novel PGx workflow was established using a 60-genetic variant panel. CPIC/DPWG guideline-based PGx reports were integrated into the EHR system and provided as a mobile and web application for patients through a genetic information system. Medication profiles and questionnaires evaluated PGx-based decisions 3 months post-discharge. Among 255 patients, 95% had at least one actionable PGx variant, most commonly affecting statins, 5-fluorouracil, irinotecan, and pantoprazole. Actionable recommendations were provided in 21.5%, with hospital physicians modifying treatment subsequently in 75.5%. We identified 57 clinically significant DDIs, including PGx drugs in 21%. GPs maintained optimized treatment in 77% of those patients with a medication change initiated during hospitalization. One in 10 patients discussed results with their GPs. GPs favored PGx for future prescriptions and requested training. We showed that preemptive PGx testing can be successfully implemented in a German hospital with high acceptance among physicians and GPs, and that PGx integration into the EHR supports broader adoption in precision medicine.

Indexed as

Hospitals, TeachingPharmacogeneticsPharmacogenomic TestingAcademic Medical CentersAdultAgedDrug InteractionsDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsFemaleFollow-Up StudiesGermanyHumansMaleMiddle AgedPrecision Medicine

Identifiers

PMID41074844
PMCPMC12746526

What OpenQuestion holds

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Registered trials

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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.