Evidence map›Paper›PMID 35759350›Full record

ArticleEpilepsia2022

Reproduction and genetic causal attribution of epilepsy.

Ruth Ottman, John B Wetmore, Itzel A Camarillo, Sophia Rodriguez, Sylwia Misiewicz, Karolynn Siegel, Wendy K Chung, Jo C Phelan, Chen-Shiun Leu, Lawrence H Yang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Ruth OttmanGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0001-7074-242X
John B WetmoreGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Itzel A CamarilloGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Sophia RodriguezGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Sylwia MisiewiczGertrude H. Sergievsky Center, Columbia University Irving Medical Center, New York, New York, USA.
Karolynn SiegelDepartment of Sociomedical Sciences, Columbia University Irving Medical Center, New York, New York, USA.
Wendy K ChungDepartments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York, New York, USA.
Jo C PhelanDepartment of Sociomedical Sciences, Columbia University Irving Medical Center, New York, New York, USA.
Chen-Shiun LeuDepartment of Biostatistics, Columbia University Irving Medical Center, New York, New York, USA.
Lawrence H YangDepartment of Epidemiology, Columbia University Irving Medical Center, New York, New York, USA.
Hyunmi ChoiDepartment of Neurology, Columbia University Irving Medical Center, New York, New York, USA.ORCID 0000-0002-0826-2350
Columbia University Irving Medical Center · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
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
NCATS NIH HHS UL1 TR001873NHGRI NIH HHS RM1 HG007257NINDS NIH HHS R01 NS104076
6 · The paper itself

Abstract

objectiveThis study addresses the contribution of genetics-related concerns to reduced childbearing among people with epilepsy.

methodsSurveys were completed by 606 adult patients with epilepsy of unknown cause at our medical center. Poisson regression analysis was used to assess the relations of number of offspring to: (1) genetic attribution (GA: participants' belief that genetics was a cause of their epilepsy), assessed via a novel scale developed from four survey items (Cronbach's alpha = .89), (2) participants' estimates of epilepsy risk in the child of a parent with epilepsy (1%, 5%-10%, 25%, and 50%-100%), and (3) participants' reports of the influence on their reproductive decisions of "the chance of having a child with epilepsy" (none/weak/moderate, strong/very strong). Analyses were adjusted for age, education, race/ethnicity, religion, type of epilepsy (generalized, focal, and both/unclassifiable), and age at epilepsy onset (<10, 10-19, and ≥20 years).

resultsAmong participants 18-45 years of age, the number of offspring decreased significantly with increasing GA (highest vs lowest GA quartile rate ratio [RR] = .5, p < .001), and increasing estimated epilepsy risk in offspring (with 5%-10% as referent because it is closest to the true value, RR for 25%: .7, p = .05; RR for 50%-100%: .6, p = .03). Number of offspring was not related to the reported influence of "the chance of having a child with epilepsy" on reproductive decisions. Among participants >45 years of age, the number of offspring did not differ significantly according to GA quartile or estimated offspring epilepsy risk. However, those reporting a strong/very strong influence on their reproductive decisions of "the chance of having a child with epilepsy" had only 60% as many offspring as others. SIGNIFICANCE: These findings suggest that overestimating the risk of epilepsy in offspring can have important consequences for people with epilepsy. Patient and provider education about recurrence risks and genetic testing options to clarify risks are critical, given their potential influence on reproductive decisions.

Indexed as

EpilepsyAdultChildGenetic TestingHumansReproductionSocial PerceptionSurveys and Questionnairesethical, legal, and social implicationsgenetic causal attributiongenetic epidemiologyreproductive decision-making

Identifiers

PMID35759350
PMCPMC10308304
OpenAlexW4283646229

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.