Evidence map›Paper›PMID 30003428›Full record

ArticleDrugs & aging2018

Pharmacokinetic Factors to Consider in the Selection of Antiseizure Drugs for Older Patients with Epilepsy.

Gail D Anderson, Shahin Hakimian

Abstract read
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In one paragraph

Article in Drugs & aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

2 authors.

Gail D AndersonDepartment of Pharmacy and Regional Epilepsy Center, University of Washington, Seattle, WA, 98195, USA. gaila@washington.edu.
Shahin HakimianDepartment of Neurology and Regional Epilepsy Center, University of Washington, Seattle, WA, 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of epilepsy is highest in the older adult age group. Seizures in older adults can be more difficult to diagnose because their presentation is often subtle and can easily be mistaken for other conditions. Fortunately, new-onset epilepsy in the older adult is often pharmaco-responsive, with as many as 80-85% of patients achieving remission, often with monotherapy at modest doses. Many physiological and pathological changes occur with aging that can alter the pharmacokinetics of antiseizure drugs (ASDs). For the majority of the old- and new-generation ASDs, a decrease in dose may be needed to maintain concentrations equivalent to those found in young adults. The risk of drug interactions with ASDs is substantial, as polypharmacy is common. The first-generation ASDs (carbamazepine, phenytoin, phenobarbital, and valproic acid) have the potential to interact with many drugs, but many newer ASDs either do not have significant interactions or are selective inhibitors and inducers of specific hepatic enzymes. The differences in adverse effects between younger and older adults are not just due to dosing and pharmacokinetics. Older adults are more susceptible to the gait, balance, and cognitive effects of ASDs. Overall, the improved tolerability and decreased drug interaction potential of the newer-generation ASDs, such as lamotrigine and levetiracetam, have demonstrated their superiority in the treatment of seizures in older adults and, as such, are clearly favored for new-onset epilepsy in older adults.

Indexed as

AgedAge FactorsAnticonvulsantsDrug InteractionsEpilepsyHumansIncidenceAnticonvulsants

Identifiers

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.