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Record W4403514025 · doi:10.1080/10926771.2024.2410739

Subtypes of Childhood Trauma Exposure Associated with Earlier Onset and Delayed Treatment in Rapid Cycling Bipolar Disorder: A CaseControl Study

2024· article· en· W4403514025 on OpenAlexaff
Juan F. Gálvez‐Flórez, Hernán F Guillen-Burgos, Angela T.H. Kwan, Roger S. McIntyre

Bibliographic record

VenueJournal of Aggression Maltreatment & Trauma · 2024
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsUniversity of Toronto
FundersCenter for Clinical and Translational ResearchUniversidad El Bosque
KeywordsRapid cyclingBipolar disorderMedicinePosttraumatic stressCyclingPsychiatryClinical psychologyPsychologyLithium (medication)

Abstract

fetched live from OpenAlex

Studies on bipolar disorder (BD) have suggested that exposure to childhood trauma (CT) and rapid cycling BD (RC-BD) are associated with earlier onset and overall worse prognosis. The association between CT exposure and RC-BD in patients from low/middle-income countries has not been sufficiently characterized. Therefore, we performed a case–control study of patients with RC-BD (n = 35), patients without RC-BD (n = 35), and healthy controls (HC) (n = 105) in a low/middle-income country, Colombia, to evaluate CT exposure and RC-BD for clinical associations. We reported a significant number of patients with RC-BD exposed to physical abuse and/or sexual abuse compared with patients without RC-BD during the course of illness. In addition, CT exposure and RC-BD were associated with an earlier age of onset and delayed diagnosis and treatment. In the future, recognition of early CT exposure in populations at risk for BD may help tailor precise interventions and thus change the course of illness and worse prognosis.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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