Evidence map›Paper›PMID 35308067›Full record

ArticleIntegrated pharmacy research & practice2022

Evaluation of Potential Drug Interactions with AiDKlinik

Julian Schmidberger, Christopher Kloth, Martin Müller, Wolfgang Kratzer, Jochen Klaus

Open access · goldAbstract read
In one paragraph

Article in Integrated pharmacy research & practice, 2022. 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
–field-weighted citation impact, top 97% 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, 0 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Julian SchmidbergerDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Baden-Württemberg, Germany.ORCID 0000-0002-9960-9574
Christopher KlothDepartment of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Baden-Württemberg, Germany.
Martin MüllerDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Baden-Württemberg, Germany.
Wolfgang KratzerDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Baden-Württemberg, Germany.
Jochen KlausDepartment of Internal Medicine I, University Hospital Ulm, Ulm, Baden-Württemberg, Germany.
University Hospital Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Undesirable drug interactions are frequent, they endanger the success of therapy, and they lead to adverse drug reactions. The present study aimed to evaluate statistically potentially drug interactions in a locally circumscribed, random sample population. Patients and Methods: In a random sample population of 264 patients taking medications, we performed analyses with the drug information system AiDKlinik Results: Statistically potentially drug interactions were recorded in 82/264 (31.1%) subjects, including 39/82 (47.56%) men, and 43/82 (52.43%) women ( Conclusion: Number of long-term medications use, age, and obesity may lead to increased drug-drug interactions in a random population sample.

Indexed as

age- and gender-specific frequencydrug interactionslong-term medicationsprevalencerandom sample population

Identifiers

PMID35308067
PMCPMC8926013
OpenAlexW4220691333

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.