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Record W4312067214 · doi:10.1212/wnl.0000000000201671

Mood and Anxiety Disorders and Suicidality in Patients With Newly Diagnosed Focal Epilepsy

2022· article· en· W4312067214 on OpenAlexaff
Andrés M. Kanner, A. Saporta, Dong Kim, John J. Barry, Hamada Altalib, Hope Omotola, Nathalie Jetté, Terence J. O’Brien, Siddhartha Nadkarni, Melodie R. Winawer, Michael R. Sperling, Jacqueline A. French, Bassel Abou‐Khalil, Brian K. Alldredge, Martina Bebin, Gregory D. Cascino, Andrew J. Cole, Mark Cook, Kamil Detyniecki, Orrin Devinsky, Dennis Dlugos, Edward Faught, David M. Ficker, Madeline Fields, Barry E. Gidal, Michael Gelfand, Simon Glynn, Jonathan J. Halford, Sheryl R. Haut, Manu Hegde, Manisha Holmes, Reetta Kälviäinen, Joon Won Kang, Pavel Klein, Robert C. Knowlton, Kaarkuzhali Babu Krishnamurthy, Ruben Kuzniecky, Patrick Kwan, Daniel H. Lowenstein, Lara Marcuse, Kimford J. Meador, Scott Mintzer, Heath Pardoe, Kristen Park, Patricia Penovich, Rani K. Singh, Ernest Somerville, C. Ákos Szabó, Jerzy P. Szaflarski, Liu Lin Thio, Eugen Trinka, Jorge G. Burneo

Bibliographic record

VenueNeurology · 2022
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsWestern University
Fundersnot available
KeywordsSuicidal ideationAnxietyPsychiatryMood disordersEpilepsyMoodAgoraphobiaPanicClinical psychologyBipolar disorderPanic disorderMedicineDepression (economics)PopulationPsychologyGeneralized anxiety disorderPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Mood, anxiety disorders, and suicidality are more frequent in people with epilepsy than in the general population. Yet, their prevalence and the types of mood and anxiety disorders associated with suicidality at the time of the epilepsy diagnosis are not established. We sought to answer these questions in patients with newly diagnosed focal epilepsy and to assess their association with suicidal ideation and attempts. METHODS: statistics, and logistic regression analyses. RESULTS: A total of 151 (43.5%) patients had a psychiatric diagnosis; 134 (38.6%) met the criteria for a mood and/or anxiety disorder, and 75 (21.6%) reported suicidal ideation with or without attempts. Mood (23.6%) and anxiety (27.4%) disorders had comparable prevalence rates, whereas both disorders occurred together in 43 patients (12.4%). Major depressive disorders (MDDs) had a slightly higher prevalence than bipolar disorders (BPDs) (9.5% vs 6.9%, respectively). Explanatory variables of suicidality included MDD, BPD, panic disorders, and agoraphobia, with BPD and panic disorders being the strongest variables, particularly for active suicidal ideation and suicidal attempts. DISCUSSION: In patients with newly diagnosed focal epilepsy, the prevalence of mood, anxiety disorders, and suicidality is higher than in the general population and comparable to those of patients with established epilepsy. Their recognition at the time of the initial epilepsy evaluation is of the essence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.242
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations47
Published2022
Admission routes1
Has abstractyes

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