Evidence map›Paper›PMID 38543232›Full record

ArticlePharmaceutics2024

Categorical Analysis of Database Consistency in Reporting Drug-Drug Interactions for Cardiovascular Diseases.

Liana Suciu, Sebastian Mihai Ardelean, Mihai Udrescu, Florina-Diana Goldiş, Daiana Hânda, Maria-Medana Tuică, Sabina-Oana Vasii, Lucreţia Udrescu

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2024. 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
2.5field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
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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

8 authors at 2 institutions in 1 country.

Liana SuciuDepartment II-Pharmacology, Pharmacotherapy, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0000-0002-2075-3275
Sebastian Mihai ArdeleanDepartment of Computer and Information Technology, University Politehnica of Timişoara, 300223 Timişoara, Romania.ORCID 0000-0003-0968-1191
Mihai UdrescuDepartment of Computer and Information Technology, University Politehnica of Timişoara, 300223 Timişoara, Romania.ORCID 0000-0002-7607-9240
Florina-Diana GoldişDepartment I-Drug Analysis, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0009-0007-8113-6071
Daiana HândaDepartment I-Drug Analysis, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0009-0003-2449-3452
Maria-Medana TuicăDepartment I-Drug Analysis, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0009-0004-4064-5871
Sabina-Oana VasiiDepartment I-Drug Analysis, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0009-0002-1156-8825
Lucreţia UdrescuDepartment I-Drug Analysis, "Victor Babeş" University of Medicine and Pharmacy Timişoara, 300041 Timişoara, Romania.ORCID 0000-0002-3084-6301
Victor Babeș University of Medicine and Pharmacy Timișoara · ROPolytechnic University of Timişoara · RO

Funding

Romanian Ministry of Education and Research , CCCDI-UEFISCDI PN-III-P2-2.1-PED-2019-2842
6 · The paper itself

Abstract

Drug-drug interactions (DDIs) can either enhance or diminish the positive or negative effects of the associated drugs. Multiple drug combinations create difficulties in identifying clinically relevant drug interactions; this is why electronic drug interaction checkers frequently report DDI results inconsistently. Our paper aims to analyze drug interactions in cardiovascular diseases by selecting drugs from pharmacotherapeutic subcategories of interest according to Level 2 of the Anatomical Therapeutic Chemical (ATC) classification system. We checked DDIs between 9316 pairs of cardiovascular drugs and 25,893 pairs of cardiovascular and other drugs. We then evaluated the overall agreement on DDI severity results between two electronic drug interaction checkers. Thus, we obtained a

Indexed as

cardiovascular drug interactionscategorical analysisdatabases agreementdrug databasesFleiss’ kappa coefficient

Identifiers

PMID38543232
PMCPMC10975099
OpenAlexW4392241320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.