Evidence map›Paper›PMID 32345696›Full record

ArticleBMJ open2020

Influence of metabolic profiles on the safety of drug therapy in routine care in Germany: protocol of the cohort study EMPAR.

Tatjana Huebner, Michael Steffens, Roland Linder, Jochen Fracowiak, Daria Langner, Marco Garling, Felix Falkenberg, Christoph Roethlein, Willy Gomm, Britta Haenisch and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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

11 authors at 4 institutions in 1 country.

Tatjana HuebnerResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany.ORCID 0000-0003-4548-1234
Michael SteffensResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany.
Roland LinderTechniker Krankenkasse, Hamburg, Germany.
Jochen FracowiakResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany.
Daria LangnerTechniker Krankenkasse, Hamburg, Germany.
Marco GarlingTechniker Krankenkasse, Hamburg, Germany.
Felix FalkenbergTechniker Krankenkasse, Hamburg, Germany.
Christoph RoethleinPopulation Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, North Rhine-Westphalia, Germany.
Willy GommPopulation Health Sciences, German Centre for Neurodegenerative Diseases, Bonn, North Rhine-Westphalia, Germany.
Britta HaenischResearch Division, Federal Institute for Drugs and Medical Devices, Bonn, North Rhine-Westphalia, Germany.
Julia StinglInstitute for Clinical Pharmacology, RWTH Aachen University, Aachen, North Rhine-Westphalia, Germany jstingl@ukaachen.de.
Federal Institute for Drugs and Medical Devices · DETechniker Krankenkasse (Germany) · DEGerman Center for Neurodegenerative Diseases · DERWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPre-emptive testing of pharmacogenetically relevant single-nucleotide polymorphisms can be an effective tool in the prevention of adverse drug reactions and therapy resistance. However, most of the tests are not used as standard in routine care in Germany because of lacking evidence for the clinical and economical benefit and their impact on the usage of healthcare services. We address this issue by investigating the influence of pharmacogenetic profiles on the use of healthcare services over an extended period of several years using routine care data from a statutory health insurance company. The goal is to provide clinical evidence whether pre-emptive pharmacogenetic testing of metabolic profiles in routine care in Germany is beneficial and cost-effective. METHODS AND ANALYSIS: The EMPAR (Einfluss metabolischer Profile auf die Arzneimitteltherapiesicherheit in der Routineversorgung) study is a non-interventional cohort study conducted to analyse pharmacogenetic risk factors that are important for drug therapy by means of endpoints relevant for healthcare. The analysis is based on pharmacogenetic profiles and statutory health insurance data. We perform pharmacogenetic, pharmacoepidemiological and pharmacoeconomic analyses using health care utilisation scores and machine learning techniques. Therefore, we aim to include about 10 000 patients (≥18 years) insured by the health insurance provider Techniker Krankenkasse. The study focuses on patients with prescriptions of anticoagulants and prescriptions of cholesterol-lowering drugs. Also, a screening for special pharmacogenetic characteristics will be performed in patients with at least one Y57.9! diagnosis (Complication of medical and surgical care: drug or medicament, unspecified). Outcomes include the utilisation of health insurance services, the incidence of incapacity for work and costs for drugs and treatment. ETHICS AND DISSEMINATION: The protocol was approved by the Ethics Committee of the Medical Faculty, University of Bonn (Lfd. Nr. 339/17). The results of this research project will be published in scientific open access journals and at conferences. TRIAL REGISTRATION NUMBER: German Clinical Trials Register, DRKS00013909.

Indexed as

MetabolomeAdultAnticoagulantsCohort StudiesDrug-Related Side Effects and Adverse ReactionsGermanyHealth Services Needs and DemandHumansHypolipidemic AgentsInsurance, HealthMachine LearningPharmacoepidemiologyPolymorphism, Single NucleotideAnticoagulantsHypolipidemic Agentshealth care researchhealth economicspharmacoepidemiologypharmacogeneticsprecision medicine

Identifiers

PMID32345696
PMCPMC7213853
OpenAlexW3018194562

What OpenQuestion holds

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LicenceCC BY-NC
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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.