Evidence map›Paper›PMID 30140585›Full record

ReviewNeurology. Clinical practice2018

Antiepileptic drugs and suicide-related behavior: Is it the drug or comorbidity?

Hari K Raju Sagiraju, Chen-Pin Wang, Megan E Amuan, Anne C Van Cott, Hamada H Altalib, Mary Jo V Pugh

Open access · bronzeAbstract readReview
In one paragraph

Review in Neurology. Clinical practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Review
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

6 authors at 3 institutions in 1 country.

Hari K Raju SagirajuSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Chen-Pin WangSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Megan E AmuanSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Anne C Van CottSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Hamada H AltalibSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Mary Jo V PughSouth Texas Veterans Health Care System (HKRS, C-PW), San Antonio; Division of General and Hospital Medicine (HKRS) and Department of Epidemiology & Biostatistics (C-PW), University of Texas Health Science Center at San Antonio; Center for Healthcare Organization and Implementation Research (MEA), Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA; VA Pittsburgh Health Care System (ACVC); Department of Neurology (ACVC), University of Pittsburgh, PA; VA Connecticut Health Care System (HHA), West Haven; Department of Neurology & Psychiatry (HHA), Yale School of Medicine, New Haven, CT; Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS 2.0) (MJVP), VA Salt Lake City Health Care System; and Division of Epidemiology (MJVP), University of Utah Health Science Center.
Edith Nourse Rogers Memorial Veterans Hospital · USSouth Texas Veterans Health Care System · USVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
6 · The paper itself

Abstract

backgroundWe sought to compare trends of suicide-related behavior (SRB) before and after initiation of antiepileptic drug (AED) therapy among AED users (with and without epilepsy) to that of individuals without AED use controlling for sociodemographic characteristics and mental health comorbidity.

methodsWe used national Veterans Health Administration (VHA) data for post-9/11 veterans who received VHA care (2013-2014) without prior AED use. We conducted generalized estimation equation (GEE) analyses, stratified by epilepsy status and type of AED received, to assess the trend of SRB prevalence the year prior to and after the index date (date of first AED prescription/date of first health care encounter for non-AED users) controlling for sociodemographic factors and mental health comorbidity.

resultsThe GEE analysis showed significant curvilinear trends of SRB prevalence over the 24-month study period among the AED users, indicating that the probability of SRB diagnoses increased over time with a peak before the index month and decreased thereafter. Similar patterns were observed among non-AED users, but significantly lower odds for SRB. Among AED users, there were no significant differences by epilepsy status; however, higher SRB prevalence and differential SRB trajectory measures were observed among those who received AEDs with mood-stabilizing action.

conclusionsThe peak of SRB prior to and rapid reduction in SRB after initiation of AED, and the finding that individuals eventually prescribed a mood-stabilizing AED (vs other AED or levetiracetam) had higher odds of SRB, suggests a strong possibility that the relationship of AED and SRB is one of residual confounding.

Identifiers

PMID30140585
PMCPMC6105073
OpenAlexW2884693290

What Socratic holds

Textmetadata
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 Socratic graph.