Comorbid anxiety in late‐life depression: Relationship with remission and suicidal ideation on venlafaxine treatment
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.
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to examine the influence of comorbid anxiety symptoms on antidepressant treatment remission in older adults with major depressive disorder (MDD). METHOD: In this multisite clinical trial, 468 older adults aged 60 years or older with MDD received open-label protocolized treatment with venlafaxine extended release (ER) titrated to a maximum of 300 mg daily. At baseline, anxiety was assessed with the Anxiety Sensitivity Index, the Brief Symptom Inventory (BSI) anxiety subscale, and the Penn State Worry Questionnaire. To measure treatment response, depressive symptoms and suicidality were assessed every 1-2 weeks with the Montgomery-Asberg Depression Rating Scale and the 19-item Scale for Suicide Ideation; anxiety was assessed with the BSI. Logistic regression and survival analysis were used to evaluate whether anxiety symptoms predicted depression remission. We also examined the relationships between anxiety scores and suicidality at baseline. RESULTS: Baseline anxiety symptoms did not predict remission or time to remission of depressive symptoms. Depressive, worry, and panic symptoms decreased in parallel in patients with high anxiety. Anxiety symptoms were associated with the severity of depression and with suicidality. CONCLUSION: In older adults with MDD, comorbid anxiety symptoms are associated with symptom severity but do not affect antidepressant remission or time to remission.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it