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Record W1505466667 · doi:10.1177/070674370605101304

What Clinical and Symptom Features and Comorbid Disorders Characterize Outpatients with Anxious Major Depressive Disorder: A Replication and Extension

2006· article· en· W1505466667 on OpenAlexvenueno aff
Maurizio Fava, A. John Rush, Jonathan E. Alpert, Cheryl N. Carmin, G.K. Balasubramani, Stephen R. Wisniewski, Madhukar H. Trivedi, Melanie M. Biggs, Kathy Shores‐Wilson

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2006
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsReplication (statistics)Major depressive disorderPsychiatryPsychologyComorbidityDepression (economics)Clinical psychologyPsychometricsMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We previously found that 46% of the first 1450 outpatients with depression participating in the multicentre Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project qualified for the designation of anxious depression. This study was designed to replicate and extend our initial findings in a subsequent, larger cohort of outpatient STAR*D participants with nonpsychotic major depressive disorder (MDD). METHODS: Baseline clinical and sociodemographic data were collected on 2337 consecutive STAR*D participants. A baseline 17-item Hamilton Depression Rating Scale Anxiety-Somatization factor score of 7 or higher was designated as anxious depression. We identified concurrent Axis I disorders with the Psychiatric Diagnostic Screening Questionnaire (PDSQ), using a 90% specificity threshold. Depressive symptoms were assessed by clinical telephone interview with the 30-item Inventory of Depressive Symptomatology-Clinician-Rated (IDS-C30). RESULTS: The prevalence of anxious depression in this population was 45.1%. Patients with anxious MDD were significantly more likely to be in primary care settings and to be women, nonsingle, unemployed, Hispanic, less educated, and suffering from severe depression, both before and after adjustment for overall depression severity. Patients with anxious depression were significantly more likely to meet PDSQ thresholds for generalized anxiety disorder, panic disorder, obsessive-compulsive disorder, posttraumatic stress disorder, agoraphobia, hypochondriasis, and somatoform disorder, both before and after adjusting for baseline depression severity. Individuals with anxious depression were also significantly less likely to endorse IDS-C30 items concerning atypical features and were significantly more likely to endorse items concerning melancholic-endogenous depression features, both before and after adjusting for baseline depression severity. CONCLUSIONS: This study clearly replicates our previous STAR*D findings and supports the notion that anxious depression may be a valid diagnostic subtype of MDD, with distinct psychiatric comorbidities and clinical and sociodemographic features.

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 score0.165
Threshold uncertainty score0.845

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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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

Citations185
Published2006
Admission routes1
Has abstractyes

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