Evidence map›Paper›PMID 33419474›Full record

ArticleBMC pharmacology & toxicology2021

Detecting medication errors associated with the use of beta-lactams in the Russian Pharmacovigilance database.

Anna V Kuzmina, Irina L Asetskaya, Sergey K Zyryanov, Vitaliy A Polivanov

Open access · goldAbstract read
In one paragraph

Article in BMC pharmacology & toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Anna V KuzminaPharmacovigilance Center, Information and Methodological Center for Expert Evaluation, Record and Analysis of Circulation of Medical Products under the Federal Service for Surveillance in Healthcare, 4-1 Slavyanskaya Square, Moscow, Russian Federation, 109074. alimova.an@yandex.ru.ORCID 0000-0002-3340-2052
Irina L AsetskayaPharmacovigilance Center, Information and Methodological Center for Expert Evaluation, Record and Analysis of Circulation of Medical Products under the Federal Service for Surveillance in Healthcare, 4-1 Slavyanskaya Square, Moscow, Russian Federation, 109074.
Sergey K ZyryanovDepartment of General and Clinical Pharmacology, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, Russian Federation, 117198.
Vitaliy A PolivanovPharmacovigilance Center, Information and Methodological Center for Expert Evaluation, Record and Analysis of Circulation of Medical Products under the Federal Service for Surveillance in Healthcare, 4-1 Slavyanskaya Square, Moscow, Russian Federation, 109074.
Peoples' Friendship University of Russia · RUFederal State Budgetary Institution "Center for Expertise and Quality Control of Medical Care" · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive analysis of all available data in spontaneous reports (SRs) can reveal previously unidentified medication errors (MEs).

methodsTo detect MEs, we performed a retrospective analysis of SRs submitted to the Russian pharmacovigilance database in the period from January 01, 2012, to August 01, 2014. This study evaluated SRs of cases where beta-lactam antibiotics were the suspected drug.

resultsA total of 3608 SRs were analyzed. MEswere detected in 1043 reports (28.9% of all cases). The total number of detected errors was 1214. Reporters themselves indicated MEs in 29 SRs. A term denoting an ME was selected in the "Adverse Reactions" section in 18 of these SRs, whereas in the other 11 reports information on the ME was found only in the "Case narrative" section. MEs were associated with wrong indications in 32.5% of the cases; 61.0% of these cases were viral infections. Various dosing regimen violations constituted 29.7% of MEs. A contraindicated drug was administered in 17.3% of all detected MEs, most commonly to a patient with a history of allergy to the suspected drug or severe hypersensitivity reactions to other drugs of the same group.

conclusionAutomatic identification of MEs in the pharmacovigilance database is sometimes precluded by the absence of a code for the respective episode in the "Adverse Reactions" section, even when the error was detected by the reporter. The most frequent types of MEs associated with the use of beta-lactams in Russia are the leading risk factors of growing bacterial resistance.

Indexed as

AdolescentAdultAdverse Drug Reaction Reporting SystemsAgedAnti-Bacterial Agentsbeta-LactamsDatabases, FactualFemaleHumansInpatientsMaleMedication ErrorsMiddle AgedOutpatientsPharmacovigilanceRetrospective StudiesAnti-Bacterial Agentsbeta-LactamsAntibioticsBeta-lactamsMedication errorsRussiaSpontaneous reports

Identifiers

PMID33419474
PMCPMC7796638
OpenAlexW3121020534

What OpenQuestion holds

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LicenceCC BY
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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.