Evidence map›Paper›PMID 32327496›Full record

ArticleNeurology2020

Socioeconomic disparities in SUDEP in the US.

Esma Cihan, Dale C Hesdorffer, Michael Brandsoy, Ling Li, David R Fowler, Jason K Graham, Michael Karlovich, Elizabeth J Donner, Orrin Devinsky, Daniel Friedman

Open access · greenAbstract read
In one paragraph

Article in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  11. Review
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  14. Article
  15. Sudden Unexpected Death in Epilepsy.Neurology international · 2022
    Review
  16. Article
  17. Treatment gaps in epilepsy.Frontiers in epidemiology · 2022
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Esma CihanFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0003-1030-2101
Dale C HesdorfferFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0003-1783-5381
Michael BrandsoyFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Ling LiFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
David R FowlerFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Jason K GrahamFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Michael KarlovichFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Elizabeth J DonnerFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Orrin DevinskyFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada.
Daniel FriedmanFrom the Department of Neurology (E.C., M.K., O.D., D.F.), NYU School of Medicine; Department of Epidemiology (D.C.H.), Columbia University Medical Center, New York, NY; San Diego County Medical Examiner's Office (M.B.), CA; Maryland Office of the Chief Medical Examiner (L.L., D.R.F.), Baltimore; New York City Office of Chief Medical Examiner (J.K.G.), NY; and Department of Paediatrics (E.J.D.), Division of Neurology, The Hospital for Sick Children, Toronto, Ontario, Canada. Daniel.Friedman@nyulangone.org.ORCID 0000-0003-1068-1797
Office of Chief Medical Examiner · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
NCATS NIH HHS UL1 TR001445
6 · The paper itself

Abstract

objectiveTo determine the impact of socioeconomic status (SES) on sudden unexpected death in epilepsy (SUDEP) rates.

methodsWe queried all decedents presented for medico-legal investigation at 3 medical examiner (ME) offices across the country (New York City, Maryland, San Diego County) in 2009 to 2010 and 2014 to 2015. We identified all decedents for whom epilepsy/seizure was listed as cause/contributor to death or comorbid condition on the death certificate. We then reviewed all available reports. Decedents determined to have SUDEP were included for analysis. We used median income in the ZIP code of residence as a surrogate for SES. For each region, zip code regions were ranked by median household income and divided into quartiles based on total population for 2 time periods. Region-, age-, and income-adjusted epilepsy prevalence was estimated in each zip code. SUDEP rates in the highest and lowest SES quartiles were evaluated to determine disparity. Examined SUDEP rates in 2 time periods were also compared.

resultsThere were 159 and 43 SUDEP cases in the lowest and highest SES quartiles. ME-investigated SUDEP rate ratio between the lowest and highest SES quartiles was 2.6 (95% confidence interval [CI] 1.7-4.1,

conclusionME-investigated SUDEP incidence was significantly higher in people with the lowest SES compared to the highest SES. The difference persisted over a 5-year period despite decreased overall SUDEP rates.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolFemaleHealthcare DisparitiesHumansIncidenceIncomeInfantMaleMiddle AgedPrevalence

Identifiers

PMID32327496
PMCPMC7455330
OpenAlexW3018854841

What OpenQuestion holds

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Registered trials

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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.