Evidence map›Paper›PMID 31845208›Full record

ArticleDrugs & aging2020

The Prevalence and Factors Associated with Antiepileptic Drug Use in US Nursing Home Residents.

Danni Zhao, Divya Shridharmurthy, Matthew J Alcusky, Yiyang Yuan, Anthony P Nunes, Anne L Hume, Jonggyu Baek, Kate L Lapane

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drugs & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Geographic Variation of Gabapentinoids and Opioids in US Nursing Homes.Journal of the American Medical Directors Association · 2026
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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

8 authors at 2 institutions in 1 country.

Danni ZhaoDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA. danni.zhao@umassmed.edu.ORCID http://orcid.org/0000-0003-3078-9615
Divya ShridharmurthyDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Matthew J AlcuskyDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Yiyang YuanDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Anthony P NunesDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Anne L HumeDepartment of Family Medicine, Alpert Medical School, Brown University, Memorial Hospital of Rhode Island, Providence, RI, 02903, USA.
Jonggyu BaekDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
Kate L LapaneDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
University of Massachusetts Chan Medical School · USUniversity of Rhode Island · US

Funding

Non-malignant Pain in Nursing Home ResidentsR01NR016977 · NINR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LAPANE, KATE L · 2017 to 2021
$2.8M
NINR NIH HHS R01 NR016977
6 · The paper itself

Abstract

backgroundAntiepileptic drugs (AEDs) are commonly used by nursing home residents, both on- and off-label. The landscape of AED use has changed over the past two decades; however, despite this, contemporaneous research on AED use in US nursing home residents is scant.

objectiveThe aim of this study was to estimate the prevalence of AED use, describe prescribing patterns, identify factors associated with AED use, and assess whether these factors differ among AEDs with expanded indications in older adults (i.e. gabapentin, pregabalin, topiramate, and lamotrigine).

methodsWe conducted a cross-sectional study among 549,240 long-stay older residents who enrolled in fee-for-service Medicare and lived in 15,111 US nursing homes on 1 September 2016. Demographics and conditions associated with AED indications, epilepsy comorbidities, and safety data came from the Minimum Data Set Version 3.0 (MDS 3.0). Medicare Part D claims were used to identify AED use. Robust Poisson models and multinomial logistic models for clustered data estimated adjusted prevalence ratios (aPR), adjusted odds ratios (aOR), and 95% confidence intervals (CIs).

resultsOverall, 24.0% used AEDs (gabapentin [13.3%], levetiracetam [4.7%], phenytoin [1.9%], pregabalin [1.8%], and lamotrigine [1.2%]). AED use was associated with epilepsy (aPR 3.73, 95% CI 3.69-3.77), bipolar disorder (aPR 1.20, 95% CI 1.18-1.22), pain (aPR

conclusionsAED use was common in nursing homes, with gabapentin most commonly used (presumably for pain). That multiple comorbidities were associated with AED use underscores the need for future studies to investigate the safety and effectiveness of AED use in nursing home residents.

Indexed as

AgedAged, 80 and overAnticonvulsantsComorbidityCross-Sectional StudiesDrug PrescriptionsDrug UtilizationEpilepsyFemaleHumansMaleMedicare Part DNursing HomesPractice Patterns, Physicians'PrevalenceUnited StatesAnticonvulsants

Identifiers

PMID31845208
PMCPMC8098429
OpenAlexW2995820020

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.