Evidence map›Paper›PMID 27206489›Full record

SynthesisBMC veterinary research2016

Antiepileptic drugs' tolerability and safety--a systematic review and meta-analysis of adverse effects in dogs.

Marios Charalambous, Sara K Shivapour, David C Brodbelt, Holger A Volk

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC veterinary research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 pooled it
14.4field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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  13. Clinical Deterioration in Dogs with Idiopathic Epilepsy Caused byAnimals : an open access journal from MDPI · 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

4 authors at 3 institutions in 2 countries.

Marios CharalambousFaculty of Brain Sciences, UCL Institute of Neurology, University College London, London, WC1E 6BT, UK. marios.charalambous.15@ucl.ac.uk.
Sara K ShivapourCollege of Veterinary Medicine, Iowa State University, Ames, Iowa, 50011, USA.
David C BrodbeltDepartment of Production and Population Health, Royal Veterinary College, Hawkshead Lane, Hatfield, Herts, AL9 7TA, UK.
Holger A VolkDepartment of Clinical Science and Services, Royal Veterinary College, Hawkshead Lane, Hatfield, Herts, AL9 7TA, UK.
Royal Veterinary College · GBIowa State University · USUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe safety profile of anti-epileptic drugs (AEDs) is an important consideration for the regulatory bodies, owners and prescribing clinicians. Information on their adverse effects still remains limited. A systematic review including a meta-analytic approach was designed to evaluate existing evidence for the safety profile of AEDs in canine patients. Electronic searches of PubMed, CAB Direct and Google scholar were carried out without date or language restrictions. Conference proceedings were also searched. Peer-reviewed full-length studies reporting adverse effects of AEDs in epileptic and healthy non-epileptic dogs were included. Studies were allocated to three groups based on their design. Individual studies were evaluated based on the quality of evidence (study design, study group sizes, subject enrolment quality and overall risk of bias) and the outcome measures reported (proportion of specific adverse effects for each AED, prevalence and 95% confidence interval of the affected population in each study and comparative odds ratio of adverse effects for AEDs).

resultsNinety studies, including six conference proceedings, reporting clinical outcomes of AEDs' adverse effects were identified. Few studies were designed as blinded randomised controlled clinical trials. Many studies included low canine populations with unclear criteria of subject enrolment and short treatment periods. Direct comparisons suggested that imepitoin and levetiracetam might have a better safety profile than phenobarbital, whilst the latter might have a better safety profile than potassium bromide. However, none of these comparisons showed a statistically significant difference. Comparisons between other AEDs were not possible as a considerable amount of studies lacked power calculations or adequate data to allow further statistical analysis. Individual AED assessments indicated that levetiracetam might be one of the safest AEDs, followed by imepitoin and then phenobarbital and potassium bromide; these findings were all supported by a strong level of evidence. The safety profile in other AEDs was variable, but weak evidence was found to permit firm conclusions or to compare their safety to other AEDs.

conclusionsThis systematic review provides objective evaluation of the most commonly used AEDs' adverse effects. Adverse effects usually appeared mild in all AEDs and subsided once doses and/or serum levels were monitored or after the AED was withdrawn. Although phenobarbital might be less safe than imepitoin and levetiracetam, there was insufficient evidence to classify it as an AED with a high risk of major adverse effects. It is important for clinicians to evaluate both AEDs' effectiveness and safety on an individual basis before the selection of the appropriate monotherapy or adjunctive AED therapy.

Indexed as

AnimalsAnticonvulsantsDogsEpilepsyOutcome and Process Assessment, Health CareAnticonvulsantsAntiepileptic drugsCanineEpilepsyMeta-analysisSafetySide effectsSystematic review

Identifiers

PMID27206489
PMCPMC4875685
OpenAlexW2405439477

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.