Evidence map›Paper›PMID 26370105›Full record

ArticleDrug safety2015

Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS): A National Analysis of Data from 10-Year Post-marketing Surveillance.

Francesca Renda, Giovanni Landoni, Renato Bertini Malgarini, Alessandro Assisi, Maria Luisa Azzolini, Marta Mucchetti, Giuseppe Pimpinella, Luca Pani

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Article in Drug safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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.

Francesca RendaItalian Medicines Agency, Rome, Italy.
Giovanni LandoniIRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy. landoni.giovanni@hsr.it.
Renato Bertini MalgariniItalian Medicines Agency, Rome, Italy.
Alessandro AssisiItalian Medicines Agency, Rome, Italy.
Maria Luisa AzzoliniIRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Marta MucchettiIRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
Giuseppe PimpinellaItalian Medicines Agency, Rome, Italy.
Luca PaniItalian Medicines Agency, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDrug reaction with eosinophilia and systemic symptoms (DRESS) is a rare, severe and potentially fatal cutaneous adverse drug reaction (the mortality rate is up to 10 %) associated with numerous and apparently heterogeneous drugs. The aetiology is unknown.

objectiveTo report Italian cases of DRESS over a 10-year period.

methodsWe searched the National Pharmacovigilance Network (NPN) for the term 'drug reaction with eosinophilia and systemic symptoms' from 1 January 2004 to 1 January 2014, to identify all reports of DRESS. Each case was checked to avoid duplication.

resultsIn the NPN, we identified 91 serious cases of DRESS: 68 were spontaneous, still-unpublished reports, while 23 additional cases were derived from screening of the scientific literature, performed by marketing authorization holders. Notably, the single common element linking all cases of DRESS was intake of a drug containing an aromatic ring.

conclusionThanks to the largest national DRESS case series ever reported, we were able to hypothesize, for the first time, that there is an association between use of drugs containing an aromatic ring in their chemical structure and DRESS. This might aid understanding of the aetiology of DRESS and facilitate diagnosis.

Indexed as

Product Surveillance, PostmarketingAdultAgedDrug Hypersensitivity SyndromeFemaleHumansItalyMaleMiddle AgedPharmaceutical PreparationsRisk FactorsPharmaceutical Preparations

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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.