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Record W4416524393 · doi:10.1016/j.jad.2025.120704

Antidepressant use in older age bipolar disorder (OABD): Results from the GAGE-BD international consortium

2025· article· en· W4416524393 on OpenAlexaff
Christina Rigas, Paola Lavín, Peijun Chen, Susana G. Torres‐Platas, Chien‐Lin Su, Lisa T. Eyler, Andrew T Olagunju, Antônio Lúcio Teixeira, Annemiek Dols, Martin Alda, Osvaldo P. Almeida, Kürşat Altınbaş, Vicent Balanzá‐Martínez, Izabela Guimarães Barbosa, Hilary P. Blumberg, Farren Briggs, Cynthia Calkin, Brent P. Forester, Orestes Vicente Forlenza, Tomáš Hájek, Barthomeus C. M. Haarman, Esther Jiménez, Beny Lafer, Benoit H. Mulsant, Stephen O. Oluwaniyi, Regan Patrick, Joaquim Raduà, Kaylee Sarna, Sigfried Schouws, Christian Simhandl, Jair C. Soares, Ashley Sutherland, Shang‐Ying Tsai, Eduard Vieta, Luca M. Villa, Nicole Fiorelli, Paula Villela Nunes, Martha Sajatovic, Soham Rej

Bibliographic record

VenueJournal of Affective Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoDalhousie UniversitySt. Joseph’s Healthcare HamiltonMcMaster UniversityJewish General HospitalDouglas Mental Health University Institute
FundersInternational Society for Bipolar Disorders
KeywordsAntidepressantDepression (economics)ManiaBipolar disorderPsychotic depressionMajor depressive episodeComorbidity

Abstract

fetched live from OpenAlex

BACKGROUND: Antidepressants are still commonly prescribed in bipolar disorders, despite ongoing controversy of the potential risk of inducing hypomania/mania. There is limited knowledge about the characteristics of antidepressant use in older age bipolar disorder (OABD; age ≥50) in the current literature. AIM: To describe antidepressant use, sociodemographic and clinical correlates of a global sample of OABD individuals. METHODS: The Global Aging and Geriatric Experiments in Bipolar Disorder (GAGE-BD) consortium provided cross-sectional international data on OABD individuals (n = 746) and younger-age bipolar disorder (YABD, age <50 years; n = 692) regarding antidepressant use. Multivariate logistic regression was employed to assess the association between AD use with demographic and clinical variables. RESULTS: Of 1252 participants, 33.1 % of OABD individuals and 38.1 % of YABD individuals were using antidepressants. In multivariable models among OABD, antidepressant use was associated with BD type II (OR = 1.61, 95 % CI: 1.09-2.38), higher depression severity (mild-to-moderate: OR = 1.86, 95 % CI: 1.13-3.06; severe: OR = 4.23, 95 % CI: 2.38-7.50), lower YMRS scores (OR = 0.93, 95 % CI: 0.89-0.97), female sex (OR = 1.37, 95 % CI: 1.00-1.89), lower education (OR = 0.61, 95 % CI: 0.43-0.86), and being unemployed (OR = 0.69, 95 % CI: 0.50-0.96). Antidepressant monotherapy was reported in 18 % of OABD users (n = 46) and 19 % of YABD users (n = 51). These findings suggest that both clinical severity and sociodemographic characteristics influence antidepressant prescribing in OABD. CONCLUSION: Antidepressant use was less prevalent in OABD compared to YABD, and associated with female sex, lower education, lack of occupation, type II BD, higher depression severity and lower mania scores. In OABD, antidepressants appear to be used more commonly in contexts where they may be clinically more indicated, such as increased depression severity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.279
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2025
Admission routes1
Has abstractno

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