Evidence map›Paper›PMID 25556909›Full record

ArticleBritish journal of clinical pharmacology2015

Indications of newer and older anti-epileptic drug use: findings from a southern Italian general practice setting from 2005-2011.

Domenico Italiano, Annalisa Capuano, Angela Alibrandi, Rosarita Ferrara, Angelo Cannata, Gianluca Trifirò, Janet Sultana, Carmen Ferrajolo, Michele Tari, Daniele Ugo Tari and 5 more

Open access · bronzeAbstract read
In one paragraph

Article 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

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  12. Antiepileptic drug use in Italian children over a decade.European journal of clinical pharmacology · 2017
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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

15 authors at 2 institutions in 1 country.

Domenico ItalianoDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Annalisa CapuanoDepartment of Experimental Medicine, Pharmacology Section, Campania Regional Center of Pharmacovigilance and Pharmacoepidemiology, Second University of Naples, Naples.
Angela AlibrandiDepartment of Economics, Business, Environmental Science and Quantitative Methodologies, University of Messina, Messina.
Rosarita FerraraDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Angelo CannataDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Gianluca TrifiròDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Janet SultanaDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Carmen FerrajoloDepartment of Experimental Medicine, Pharmacology Section, Campania Regional Center of Pharmacovigilance and Pharmacoepidemiology, Second University of Naples, Naples.
Michele TariCaserta Local Health Service, Caserta, Italy.
Daniele Ugo TariCaserta Local Health Service, Caserta, Italy.
Margherita PerrottaCaserta Local Health Service, Caserta, Italy.
Claudia PagliaroCaserta Local Health Service, Caserta, Italy.
Concita RafanielloDepartment of Experimental Medicine, Pharmacology Section, Campania Regional Center of Pharmacovigilance and Pharmacoepidemiology, Second University of Naples, Naples.
Edoardo SpinaDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
Vincenzo ArcoraciDepartment of Clinical and Experimental Medicine, University of Messina, Messina.
University of Messina · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of the study was to analyze the prescribing pattern of both newer and older AEDs.

methodsA population of almost 150 000 individuals registered with 123 general practitioners was included in this study. Patients who received at least one AED prescription over 2005-2011 were identified. The 1 year prevalence and cumulative incidence of AED use, by drug class and individual drug, were calculated over the study period. Potential predictors of starting therapy with newer AEDs were also investigated.

resultsThe prevalence of use per 1000 inhabitants of older AEDs increased from 10.7 (95% CI10.1, 11.2) in 2005 to 13.0 (95% CI12.4, 13.6) in 2011, while the incidence remained stable. Newer AED incidence decreased from 9.4 (95% CI 8.9, 9.9) in 2005 to 7.0 (95% CI 6.6, 7.5) in 2011, with a peak of 15.5 (95% CI 14.8, 16.1) in 2006. Phenobarbital and valproic acid were the most commonly prescribed AEDs as starting therapy for epilepsy. Gabapentin and pregabalin accounted for most new pain-related prescriptions, while valproic acid and lamotrigine were increasingly used for mood disorders. Female gender (OR 1.36, 95% CI 1.20, 1.53), age ranging between 45-54 years (OR 1.39, 95% CI 1.16, 1.66) and pain as an indication (OR 16.7, 95% CI, 13.1, 21.2) were associated with newer AEDs starting therapy.

conclusionsOlder AEDs were mainly used for epileptic and mood disorders, while newer drugs were preferred for neuropathic pain. Gender, age, indication of use and year of starting therapy influenced the choice of AED type. The decrease of newer AED use during 2007 is probably related to the restricted reimbursement criteria for gabapentin and pregabalin.

Indexed as

AdolescentAdultAgedAge FactorsAnalgesicsAnticonvulsantsAntipsychotic AgentsDatabases, FactualDrug CostsDrug PrescriptionsDrug Utilization ReviewEpilepsyFemaleGeneral PracticeGeneral PractitionersHealth Care SurveysAnalgesicsAnticonvulsantsAntipsychotic Agentsanti-epilepticsgeneral practiceincidenceindications of useprescriptionsprevalence

Identifiers

PMID25556909
PMCPMC4456133
OpenAlexW1811549546

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.