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Record W4404672125 · doi:10.1001/jamaneurol.2024.3976

Psychiatric Comorbidities in Persons With Epilepsy Compared With Persons Without Epilepsy

2024· review· en· W4404672125 on OpenAlex
Churl‐Su Kwon, Ali Rafati, Ruth Ottman, Jakob Christensen, Andrés M. Kanner, Nathalie Jetté, Charles R. Newton

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJAMA Neurology · 2024
Typereview
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsEpilepsyPsychiatryMedicineComorbidityPsychiatric comorbidityPsychology

Abstract

fetched live from OpenAlex

Importance: Several psychiatric disorders have been found to occur more frequently in persons with epilepsy (PWE) than in persons without epilepsy. Objective: To summarize the prevalence of 20 psychiatric disorders in PWE compared with persons without epilepsy. Data Sources: The search included records from inception to February 2024 in Ovid, MEDLINE, Embase, and PsycINFO. Study Selection: Published epidemiological studies examining the prevalence of psychiatric disorders among PWE compared with persons without epilepsy were systematically reviewed. There were no restrictions on language or publication date. Data Extraction and Synthesis: Abstracts were reviewed in duplicate, and data were extracted using a standardized electronic form. Descriptive statistics and meta-analyses are presented. Main Outcomes and Measures: Data were recorded on the prevalence of 20 psychiatric disorders among PWE compared with persons without epilepsy. Meta-analyses were performed along with descriptive analyses. Results: The systematic search identified 10 392 studies, 27 of which met eligibility criteria. The meta-analyses included 565 443 PWE and 13 434 208 persons without epilepsy. The odds of most psychiatric disorders studied were significantly increased in PWE compared with those without epilepsy, including anxiety (odds ratio [OR], 2.11; 95% CI, 1.73-2.58); depression (OR, 2.45; 95% CI, 1.94-3.09); bipolar disorder (OR, 3.12; 95% CI, 2.23-4.36); suicidal ideation (OR, 2.25; 95% CI, 1.75-2.88) but not suicide attempt (OR, 3.17; 95% CI, 0.49-20.46); psychotic disorder (OR, 3.98; 95% CI, 2.57-6.15); schizophrenia (OR, 3.72; 95% CI, 2.44-5.67); obsessive-compulsive disorder (OR, 2.71; 95% CI, 1.76-4.15); posttraumatic stress disorder (OR, 1.76; 95% CI, 1.14-2.73); eating disorders (OR, 1.87; 95% CI, 1.73-2.01); alcohol misuse (OR, 3.64; 95% CI, 2.27-5.83) and alcohol dependence (OR, 4.94; 95% CI, 3.50-6.96) but not alcohol abuse (OR, 2.10; 95% CI, 0.60-7.37); substance use disorder (OR, 2.75; 95% CI, 1.61-4.72); autism spectrum disorder (OR, 10.67; 95% CI, 6.35-17.91); and attention-deficit/hyperactivity disorder (OR, 3.93; 95% CI, 3.80-4.08). Conclusions and Relevance: In this comprehensive study, most psychiatric comorbidities examined were significantly more prevalent in PWE than in those without epilepsy. These findings show the high burden of psychiatric comorbidities in PWE. This, in turn, underscores the need for appropriately identifying and treating psychiatric comorbidity in epilepsy to manage patients effectively and improve quality of life.

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.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.001

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 head0.049
GPT teacher head0.346
Teacher spread0.297 · 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