Evidence map›Paper›PMID 31587270›Full record

ArticleEpilepsia2019

Genetic attribution and perceived impact of epilepsy in multiplex epilepsy families.

Diana C Garofalo, Shawn T Sorge, Dale C Hesdorffer, Melodie R Winawer, Jo C Phelan, Wendy K Chung, Ruth Ottman

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 1 country.

Diana C GarofaloDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Shawn T SorgeG. H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York.
Dale C HesdorfferDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0003-1783-5381
Melodie R WinawerG. H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York.
Jo C PhelanDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, New York.
Wendy K ChungDepartment of Pediatrics, College of Physicians and Surgeons, Columbia University, New York, New York.
Ruth OttmanDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.ORCID 0000-0001-7074-242X
Columbia University · USLong Island University · USNew York Psychoanalytic Society and Institute · US

Funding

Center for Research on Ethical, Legal & Social Implications of Psychiatric, Neurologic & Behavioral GeneticsRM1HG007257 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI APPELBAUM, PAUL STUART · 2018 to 2021
$4.4M
Psychosocial Impact of Genetics in EpilepsyR01NS104076 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2018 to 2022
$3.2M
Psychosocial Impact of Genetics in EpilepsyR01NS078419 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI OTTMAN, RUTH · 2012 to 2015
$2.3M
NHGRI NIH HHS RM1 HG007257NINDS NIH HHS R01 NS078419NINDS NIH HHS R01 NS104076
6 · The paper itself

Abstract

objectiveStudies have found that affected individuals who believe the cause of their disorder is genetic may react in various ways, including optimism for improved treatments and pessimism due to perceived permanence of the condition. This study assessed the psychosocial impact of genetic attribution among people with epilepsy.

methodsStudy participants were 165 persons with epilepsy from multiplex epilepsy families who completed a self-administered survey. Psychosocial impact of epilepsy was assessed with the Impact of Epilepsy Scale, containing items about relationships, employment, overall health, self-esteem, and standard of living. Genetic attribution was assessed using a scale derived from three items asking about the role of genetics in causing epilepsy in the family, the chance of having an epilepsy-related mutation, and the influence of genetics in causing the participant's epilepsy. We estimated prevalence ratios (PRs) for impact of epilepsy above the median using Poisson regression with robust standard errors, adjusting for number of lifetime seizures and time since last seizure.

resultsParticipants' age averaged 51 years; 87% were non-Hispanic white, 63% were women, and 54% were college graduates. The genetic attribution scale was significantly associated with having a high impact of epilepsy (adjusted PR = 1.4, 95% confidence interval = 1.07-1.91, P = .02). One of the three genetic attribution questions was also significantly associated with a high impact of epilepsy (belief that genetics had a big role in causing epilepsy in the family, adjusted PR = 1.8). SIGNIFICANCE: These findings reflect an association between the psychosocial impact of epilepsy and the belief that epilepsy has a genetic cause, among people with epilepsy in families containing multiple affected individuals. This association could arise either because belief in a genetic cause leads to increased psychosocial impacts, or because a greater psychosocial impact of epilepsy leads some to believe their epilepsy is genetic.

Indexed as

Social PerceptionAdultCross-Sectional StudiesEpileptic SyndromesFemaleFollow-Up StudiesHumansMaleMiddle AgedSurveys and Questionnairesepidemiologyfamilialgenetic attributionpsychosocialstigma

Identifiers

PMID31587270
PMCPMC7144879
OpenAlexW2977980339

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.