Clinical and functional outcomes in patients with major depressive disorder and painful physical symptoms switched to treatment with duloxetine
Bibliographic record
Abstract
OBJECTIVE: This post hoc analysis of a multicenter, single-arm, open-label trial (the Attributes of Response in Depressed Patients Switched to Treatment with Duloxetine [ARDENT] study) assessed the relationship between functional improvement in the Sheehan Disability Scale (SDS) and clinical outcomes of mood, pain, and anxiety over 8 weeks after switching treatment to duloxetine in patients with major depressive disorder. METHODS: Analyses included all 195 patients who completed the study. Pearson's correlation and multivariate regression analyses were used to evaluate the relationship between change from baseline in SDS total score and 17-item Hamilton Rating Scale for Depression (HAMD(17)) Maier score (mood), Brief Pain Inventory-Short Form average pain score (pain), and Hamilton Anxiety Rating Scale total score (anxiety) at week 8. RESULTS: At week 8, change in SDS total score was positively correlated with change in mood (r = 0.49), anxiety (r = 0.44), and pain (r = 0.40). Multivariate linear regression coefficients for mood and pain were estimated at 1.21 (standard error [SE] = 0.184) and 1.16 (SE = 0.180), respectively (both p < 0.0001) compared with 0.02 (SE = 0.097; p = 0.82) for anxiety. Overall, 43% of patients achieved both HAMD(17) and SDS total remission. CONCLUSIONS: Functional improvement at 8 weeks was positively correlated with mood, pain, and anxiety in patients with major depressive disorder switched to duloxetine. Change in mood and pain exerted a relatively stronger joint effect on functioning than did anxiety in this patient population. Copyright © 2011 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".