Evidence map›Paper›PMID 28000156›Full record

ArticleDrugs & aging2017

Predicting the Risk of Adverse Drug Reactions in Older Inpatients: External Validation of the GerontoNet ADR Risk Score Using the CRIME Cohort.

Mirko Petrovic, Balamurugan Tangiisuran, Chakravarthi Rajkumar, Tischa van der Cammen, Graziano Onder

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Article in Drugs & aging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Mirko PetrovicDepartment of Internal Medicine, Section of Geriatrics, Ghent University, De Pintelaan 185, 9000, Ghent, Belgium. mirko.petrovic@ugent.be.
Balamurugan TangiisuranSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia.
Chakravarthi RajkumarDepartment of Medicine, Brighton and Sussex Medical School, Brighton, England, UK.
Tischa van der CammenDepartment of Internal Medicine (Geriatrics), Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Graziano OnderDepartment of Geriatrics (Policlinico A. Gemelli), Catholic University of the Sacred Heart, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdverse drug reactions (ADRs) in older people are often preventable, indicating that screening and prevention programs aimed at reducing their rate are needed in this population.

objectiveThe aim of this study was to externally validate the GerontoNet ADR risk score and to assess its validity in specific subpopulations of older inpatients.

methodsData from the prospective CRIteria to assess appropriate Medication use among Elderly complex patients (CRIME) cohort were used. Dose-dependent and predictable ADRs were classified as type A, probable or definite ADRs were defined according to the Naranjo algorithm, and diagnostic accuracy was tested using receiver operating characteristic (ROC) analyses. Sensitivity and specificity were calculated for a cut-off point of 4.

resultsThe mean age of the 1075 patients was 81.4 years (standard deviation 7.4) and the median number of drugs was 10 (range 7-13). At least one ADR was observed in 70 patients (6.5%); ADRs were classified as type A in 50 patients (4.7%) and defined as probable or definite in 41 patients (3.8%). Fair diagnostic accuracy to predict both type A and probable or definite ADRs was found in subpopulations aged <70 or ≥80 years with heart failure, diabetes, or a previous ADR. Good accuracy to predict type A ADRs was found in patients with a low body mass index (BMI; >18.5 kg/m

conclusionThis study suggests that the GerontoNet ADR risk score might represent a pragmatic approach to identifying specific subpopulations of older inpatients at increased risk of an ADR with a fair to good diagnostic accuracy.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overAlgorithmsFemaleGeriatric AssessmentHumansInpatientsMaleProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsSensitivity and Specificity

Identifiers

PMID28000156

What OpenQuestion holds

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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.