Evidence map›Paper›PMID 39570381›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2025

The 10 top prescribed medicines in Germany from 1985 to 2022: pharmacological analysis.

Lennart Schröder, Roland Seifert

Abstract read
In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. US postmarketed drug removals: Analysis of discontinued and withdrawn drugs.The Journal of pharmacology and experimental therapeutics · 2026
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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

2 authors.

Lennart SchröderInstitute of Pharmacology, Hannover Medical School, D-30625, Hannover, Germany.
Roland SeifertInstitute of Pharmacology, Hannover Medical School, D-30625, Hannover, Germany. seifert.roland@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many years, pharmaceutical expenditure has been the second largest cost item for statutory health insurance funds (SHI) in Germany after hospital costs. Since prescriptions and expenditure on medicines play such a major role in the German healthcare system, the question arises as to what causes changes in prescriptions. To answer this question, the prescribing trends for the top 10 drugs in 2022 were analyzed over a period of 38 years, from 1985 to 2022. The prescribed defined daily doses (DDD) and the costs per defined daily dose for the 10 medicines were taken from the Arzneiverordnungsreport (AVR) from 1986 to 2023, and the changes in prescribing behavior and their causes were analyzed. The ten most important medicines in 2022, accounting for over 41% of all prescribed daily doses, were ramipril, candesartan, pantoprazole, amlodipine, atorvastatin, levothyroxine, torasemide, simvastatin, bisoprolol, and metoprolol. There are many different reasons for an increase in prescriptions, such as the introduction of generics, a positive study, or a price reduction. Further reasons for an increase in prescriptions are an extension of the indication or the recall of a competing medicine. A change in guidelines or the increasing treatment of laboratory values without clinical symptoms can also lead to an increase in prescriptions. There are also many different reasons for a drop in prescriptions, such as the generic launch of a competitor medicine or a positive study for a competitor medicine. Other reasons for a drop in prescriptions are a negative study or a discussion about the use of a drug. Sometimes, the reasons for prescription changes are also irrational. Overall, this is the most comprehensive long-term analysis of drug prescriptions in Germany. Our data is helpful for predicting drug prescriptions and for preventing future drug shortages not only in Germany but also worldwide.

Indexed as

Drug PrescriptionsPractice Patterns, Physicians'Prescription DrugsDrug CostsDrugs, GenericGermanyHumansDrugs, GenericPrescription DrugsHealthcare systemPharmaceutical expenditureStatutory health insurance

Identifiers

PMID39570381
PMCPMC11985566

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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.