Evidence map›Paper›PMID 25677107›Full record

SynthesisBritish journal of clinical pharmacology2015

Number of drugs most frequently found to be independent risk factors for serious adverse reactions: a systematic literature review.

Eva A Saedder, Marianne Lisby, Lars Peter Nielsen, Dorthe K Bonnerup, Birgitte Brock

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 4% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Eva A SaedderDepartment of Clinical Pharmacology, Aarhus University Hospital, Aarhus, Denmark.
Marianne LisbyResearch Centre of Emergency Medicine, Aarhus University Hospital, Aarhus, Denmark.
Lars Peter NielsenDepartment of Clinical Pharmacology, Aarhus University Hospital, Aarhus, Denmark.
Dorthe K BonnerupHospital Pharmacy, Central Denmark Region, Aarhus, Denmark.
Birgitte BrockDepartment of Biochemistry and Department of Biomedicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKCentral Denmark Region · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to reduce the numbers of medication errors (MEs) that cause adverse reactions (ARs) many authors have tried to identify patient-related risk factors. However, the evidence remains controversial. The aim was to review systematically the evidence on the relationship between patient-related risk factors and the risk of serious ARs. A systematic search in Pubmed, Embase, Cochrane Systematic Reviews, Psychinfo and SweMed+ was performed. Included full text articles were hand searched for further references. Peer reviewed papers including adults from primary and secondary healthcare were included if they clearly defined seriousness of the ARs and described correlations to risk factors by statistical analysis. A total of 28 studies were identified including 85,212 patients with 3385 serious ARs, resulting in an overall frequency of serious ARs in 4% of patients. Age, gender and number of drugs were by far the most frequently investigated risk factors. The total number of drugs was the most consistent correlated risk factor found in both univariate and multivariate analyses. The number of drugs is the most frequently documented independent patient-related risk factor for serious ARs in both the general adult population as well as in the elderly. The existing evidence is however conflicting due to heterogeneity of populations and study methods. The knowledge of patient-related risk factors for experiencing ARs could be used for electronic risk stratification of patients and thereby allocation of healthcare resources to high risk patients.

Indexed as

Age FactorsDrug-Related Side Effects and Adverse ReactionsHumansPolypharmacyRisk FactorsSex Factorsdrug-related side effects and adverse reactionsmedication errorsrisk factors

Identifiers

PMID25677107
PMCPMC4594723
OpenAlexW2152604787

What OpenQuestion holds

Textmetadata
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.