Evidence map›Paper›PMID 31318079›Full record

ArticleBritish journal of clinical pharmacology2019

Drug-induced aseptic meningitis: 329 cases from the French pharmacovigilance database analysis.

Kevin Bihan, Nicolas Weiss, Hélène Théophile, Christian Funck-Brentano, Bénédicte Lebrun-Vignes

Open access · bronzeAbstract read
In one paragraph

Article in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  15. Aseptic meningitis after BNT-162b2 COVID-19 vaccination.Brain, behavior, & immunity - health · 2022
    Article
  16. Article
  17. A Case Report of Antibiotic-Induced Aseptic Meningitis in Psoriasis.Hawai'i journal of health & social welfare · 2021
    Article
  18. Article
  19. Drug-Induced Aseptic Meningitis Following Spinal Anesthesia.European journal of case reports in internal medicine · 2020
    Article
  20. Article
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 3 institutions in 1 country.

Kevin BihanRegional Pharmacovigilance Center, Department of Pharmacology, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-6797-0237
Nicolas WeissBrain Liver Pitié-Salpêtrière (BLIPS) Study Group, Assistance Publique-Hôpitaux de Paris, Groupement Hospitalier Pitié-Salpêtrière-Charles Foix, Département de Neurologie, Unité de réanimation neurologique, Sorbonne Université, Paris, France.
Hélène ThéophileRegional Pharmacovigilance Center, Department of Pharmacology, Bordeaux Hospital, Bordeaux, France.
Christian Funck-BrentanoINSERM, CIC-1421 and UMR ICAN 1166, Sorbonne Université, Faculty of Medicine, AP-HP, Pitié-Salpêtrière Hospital, Department of Pharmacology and Clinical Investigation Center, Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
Bénédicte Lebrun-VignesRegional Pharmacovigilance Center, Department of Pharmacology, Pitié-Salpêtrière Hospital, Paris, France.ORCID 0000-0001-6676-5063
Inserm · FRSorbonne Université · FRBordeaux Population Health · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDrug-induced aseptic meningitis (DIAM) is an adverse drug reaction of exclusion; only few studies have addressed this iatrogenic disease. The aim was to characterize DIAM and to identify suspected drugs.

methodsData were collected from the analysis of the French Pharmacovigilance Database from inception (1 January 1985) to 8 March 2017. All cases were initially analysed according to the French imputability method by institutional pharmacologists (clinicians or pharmacists). Further analyses of well documented cases were then performed.

resultsIn this study, 329 cases of aseptic meningitis were retrieved from the French Pharmacovigilance Database for a total of 429 suspected drugs. Analysis of 203 well documented cases, including 282 drugs, showed that the main reported classes were intravenous polyvalent immunoglobulin, nonsteroidal anti-inflammatory drugs (NSAIDs), vaccines, antimicrobials, intrathecal antimetabolites, corticosteroids and antalgics/anaesthetics (except NSAIDs). Lymphocytic (33.0%) and purulent (44.8%) meningitis represented the majority of cases of aseptic meningitis. In other cases, the cerebrospinal fluid was mixed (45-55% of neutrophils +45-55% of lymphocytes) or data about cerebrospinal fluid composition were lacking. Most DIAM cases (96%) had a favourable reported outcome with full recovery or minimal residual symptoms.

conclusionThe most frequently involved drugs in DIAM were intravenous polyvalent immunoglobulin, NSAIDs, vaccines, and antimicrobials and this without being able to differentiate them in terms of biological characteristics. Although further studies are needed to better understand the pathophysiological mechanisms of DIAM, a continuous enrichment of pharmacovigilance databases is essential to identify new signals and to help clinicians in the understanding of DIAM.

Indexed as

AdultAdverse Drug Reaction Reporting SystemsAnestheticsAnti-Infective AgentsAnti-Inflammatory Agents, Non-SteroidalAntimetabolitesDatabases, FactualFemaleFranceGlucocorticoidsHumansImmunoglobulins, IntravenousInjections, SpinalMaleMeningitis, AsepticMiddle AgedAnestheticsAnti-Infective AgentsAnti-Inflammatory Agents, Non-SteroidalAntimetabolitesGlucocorticoidsImmunoglobulins, IntravenousVaccinesadverse effectaseptic meningitisdrug-inducedmeningitispharmacoviglance

Identifiers

PMID31318079
PMCPMC6848896
OpenAlexW2964028959

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.