Evidence map›Paper›PMID 30124584›Full record

Trial reportJournal of clinical psychopharmacology2018

Individual Differences in Working Memory Capacity Predict Topiramate-Related Cognitive Deficits.

Christopher M Barkley, Zhenhong Hu, Ann M Fieberg, Lynn E Eberly, Angela K Birnbaum, Ilo E Leppik, Susan E Marino

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical psychopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. 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

7 authors at 2 institutions in 1 country.

Christopher M Barkley
Zhenhong HuDepartment of Biomedical Engineering, University of Florida, Gainesville, FL.
Ann M FiebergDivision of Biostatistics, University of Minnesota, Minneapolis, MN.
Lynn E EberlyDivision of Biostatistics, University of Minnesota, Minneapolis, MN.
Angela K Birnbaum
Ilo E Leppik
Susan E Marino
University of Minnesota · USUniversity of Florida · US

Funding

Characterizing and Predicting Drug Effects on CognitionR01NS076665 · NINDS · UNIVERSITY OF MINNESOTA · PI MARINO, SUSAN E · 2012 to 2016
$2.7M
NINDS NIH HHS R01 NS076665
6 · The paper itself

Abstract

PURPOSE/

backgroundTopiramate (TPM) and lorazepam (LZP) are two examples of frequently prescribed medications that are associated with a high incidence of cognitive impairment; however, the factors that underlie interindividual differences in side effect profiles have not been fully characterized. Our objective was to determine whether working memory capacity (WMC), the amount of information that can be stored and manipulated in memory over short time intervals, is one such factor. METHODS/PROCEDURES: Twenty-nine healthy volunteers completed a double-blind, randomized, placebo-controlled crossover study during which they received placebo (PBO), TPM, and LZP in random order. Four hours after drug administration, a blood draw was taken to establish drug concentrations, and subjects performed a verbal working memory task while the accuracy and reaction time of their responses were recorded. Working memory capacity was calculated based on accuracy rates during the PBO session, and the role of WMC in moderating the severity of drug-related cognitive impairment was assessed by examining drug-related performance changes from PBO as a function of WMC. FINDINGS/

resultsBoth TPM and LZP had a negative impact on task performance, although only TPM-related deficits were modulated by WMC; high WMC was associated with more severe impairments and heightened sensitivity to increasing TPM concentrations. IMPLICATIONS/

conclusionsWe have identified a potential clinical risk factor, high WMC, which is associated with drug-related adverse cognitive events. These data provide objective evidence in support of clinical observations that high-functioning patients are more likely to experience severe cognitive impairments.

Indexed as

IndividualityAdolescentAdultAnticonvulsantsCognitive DysfunctionCross-Over StudiesDouble-Blind MethodFemaleHumansMaleMemory, Short-TermPredictive Value of TestsReaction TimeTopiramateYoung AdultAnticonvulsantsTopiramate

Identifiers

PMID30124584
PMCPMC6113095
OpenAlexW2888024341

What OpenQuestion holds

Textmetadata
LicenceTDM
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.