Evidence map›Paper›PMID 32250457›Full record

Observational studyBritish journal of clinical pharmacology2020

The phenotype of adverse drug effects: Do emergency visits due to adverse drug reactions look different in older people? Results from the ADRED study.

Katja S Just, Harald Dormann, Marlen Schurig, Miriam Böhme, Michael Steffens, Bettina Plank-Kiegele, Kristin Ettrich, Thomas Seufferlein, Ingo Gräff, Svitlana Igel and 4 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in British journal of clinical pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. [Frailty and pharmacotherapy].Innere Medizin (Heidelberg, Germany) · 2025
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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

14 authors at 7 institutions in 1 country.

Katja S JustInstitute of Clinical Pharmacology, University Hospital of RWTH Aachen, Aachen, Germany.ORCID 0000-0002-6782-8078
Harald DormannCentral Emergency Department, Hospital Fürth, Fürth, Germany.
Marlen SchurigResearch Department, Federal Institute for Drugs and Medical Devices, Bonn, Germany.
Miriam BöhmeResearch Department, Federal Institute for Drugs and Medical Devices, Bonn, Germany.
Michael SteffensResearch Department, Federal Institute for Drugs and Medical Devices, Bonn, Germany.
Bettina Plank-KiegeleCentral Emergency Department, Hospital Fürth, Fürth, Germany.
Kristin EttrichInternal Medicine Emergency Department, Ulm University Medical Centre, Ulm, Germany.
Thomas SeufferleinInternal Medicine Emergency Department, Ulm University Medical Centre, Ulm, Germany.
Ingo GräffInterdisciplinary Emergency Department (INZ), University Hospital of Bonn, Bonn, Germany.
Svitlana IgelDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Severin SchrickerDepartment of Internal Medicine, Division of General Internal Medicine and Nephrology, Robert-Bosch-Hospital, Stuttgart, Germany.
Simon U JaegerDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Julia C StinglInstitute of Clinical Pharmacology, University Hospital of RWTH Aachen, Aachen, Germany.ORCID 0000-0002-1566-8156
Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEFederal Institute for Drugs and Medical Devices · DEKlinikum Fürth · DERWTH Aachen University · DEUniversität Ulm · DERobert Bosch Hospital · DEUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOlder patients in particular suffer from adverse drug reactions (ADR) when presenting in the emergency department. We aimed to characterise the phenotype of those ADRs, to be able to recognise an ADR in older patients.

methodsCases of ADRs in emergency departments collected within the multicentre prospective observational study (ADRED) were analysed (n = 2215). We analysed ADR-associated diagnoses, symptoms and their risk profiles. We present frequencies and odds ratios (OR) with 95% confidence intervals for adults (18-64 years) compared to older adults (≥65 years; young-old 65-79, old-old ≥80 years) and regression coefficients (B) for each year of age.

resultsMost prominent differences were seen for drug-associated confusion, dehydration, and bradycardia (OR 6.70 [1.59-28.27], B .054; OR 6.02 [2.41-15.03], B .081, and 4.82 [2.21-10.54], B .040), more likely seen in older adults. Bleedings were reported in all age groups, but gastrointestinal bleedings occurred with more than doubled chance in older adults (OR 2.46 [1.77-3.41], B .030), likewise did other bleedings such as haemorrhage from respiratory passages (OR 2.89 [1.37-6.11], B.036). Falls were more likely in older adults (OR 2.84 [1.77-4.53], B .030), while dizziness was frequent in both age groups.

conclusionOur data point to differences in symptoms of ADRs between adults and older individuals, with dangerous drug-associated phenomena in the older adult such as bleedings or falls. Physicians should consider drug-associated origins of symptoms in older adults with an increased risk for serious health problems.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmaceutical PreparationsPhysiciansAdverse Drug Reaction Reporting SystemsAgedEmergency Service, HospitalHumansPhenotypePharmaceutical Preparationsadverse drug reactionemergency departmentsnetwork analysisolder adultssymptoms

Identifiers

PMID32250457
PMCPMC7576634
OpenAlexW3015023512

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.