Evidence map›Paper›PMID 28176298›Full record

ArticleEpilepsia2017

What does the U.S. Medicare administrative claims database tell us about initial antiepileptic drug treatment for older adults with new-onset epilepsy?

Roy C Martin, Edward Faught, Jerzy P Szaflarski, Joshua Richman, Ellen Funkhouser, Kendra Piper, Lucia Juarez, Chen Dai, Maria Pisu

Open access · bronzeAbstract read
In one paragraph

Article in Epilepsia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors at 2 institutions in 1 country.

Roy C MartinDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Edward FaughtDepartment of Neurology, Emory University, Atlanta, Georgia, U.S.A.
Jerzy P SzaflarskiDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Joshua RichmanDepartment of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Ellen FunkhouserDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Kendra PiperDepartment of Gynecology and Obstetrics, Emory University, Atlanta, Georgia, U.S.A.
Lucia JuarezDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Chen DaiDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Maria PisuDivision of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
University of Alabama at Birmingham · USEmory University · US

Funding

Quality of Epilepsy Treatment and Costs in Older Americans by Race (QUIET CARE)R01NS080898 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI PISU, MARIA · 2012 to 2014
$1.1M
NINDS NIH HHS R01 NS080898
6 · The paper itself

Abstract

objectiveDisparities in epilepsy treatment are not uncommon; therefore, we examined population-based estimates of initial antiepileptic drugs (AEDs) in new-onset epilepsy among racial/ethnic minority groups of older US Medicare beneficiaries.

methodsWe conducted retrospective analyses of 2008-2010 Medicare administrative claims for a 5% random sample of beneficiaries augmented for minority representation. New-onset epilepsy cases in 2009 had ≥1 International Classification of Diseases, Ninth Revision (ICD-9) 345.x or ≥2 ICD-9 780.3x, and ≥1 AED, AND no seizure/epilepsy claim codes or AEDs in preceding 365 days. We examined AED use and concordance with Quality Indicators of Epilepsy Treatment (QUIET) 6 (monotherapy as initial treatment = ≥30 day first prescription with no other concomitant AEDs), and prompt AED treatment (first AED within 30 days of diagnosis). Logistic regression examined likelihood of prompt treatment by demographic (race/ethnicity, gender, age), clinical (number of comorbid conditions, neurology care, index event occurring in the emergency room (ER)), and economic (Part D coverage phase, eligibility for Part D Low Income Subsidy [LIS], and ZIP code level poverty) factors.

resultsOver 1 year of follow-up, 79.6% of 3,706 new epilepsy cases had one AED only (77.89% of whites vs. 89% of American Indian/Alaska Native [AI/AN]). Levetiracetam was the most commonly prescribed AED (45.5%: from 24.6% AI/AN to 55.0% whites). The second most common was phenytoin (30.6%: from 18.8% Asians to 43.1% AI/AN). QUIET 6 concordance was 94.7% (93.9% for whites to 97.3% of AI/AN). Only 50% received prompt AED therapy (49.6% whites to 53.9% AI/AN). Race/ethnicity was not significantly associated with AED patterns, monotherapy use, or prompt treatment. SIGNIFICANCE: Monotherapy is common across all racial/ethnic groups of older adults with new-onset epilepsy, older AEDs are commonly prescribed, and treatment is frequently delayed. Further studies on reasons for treatment delays are warranted. Interventions should be developed and tested to develop paradigms that lead to better care.

Indexed as

MedicareTreatment OutcomeAgedAged, 80 and overAge FactorsAnticonvulsantsDatabases, FactualEpilepsyFemaleFollow-Up StudiesHumansInternational Classification of DiseasesLogistic ModelsMaleRetrospective StudiesUnited StatesAnticonvulsantsEthnicityGuidelinesQuality of careRaceTreatment delays

Identifiers

PMID28176298
PMCPMC5543704
OpenAlexW2586875536

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.