HAM-D<sub>17</sub>and HAM-D<sub>6</sub>Sensitivity to Change in Relation to Desvenlafaxine Dose and Baseline Depression Severity in Major Depressive Disorder
Bibliographic record
Abstract
INTRODUCTION: This retrospective analysis compared sensitivity to change on the 17-item and 6-item Hamilton Rating Scales For Depression (HAM-D (17) and HAM-D (6), respectively) in relation to antidepressant dose and baseline depression severity. METHODS: Data were derived from 6 randomized, double-blind, placebo-controlled, 8-week trials of fixed-dose desvenlafaxine (50, 100, 200 or 400 mg/d) for major depressive disorder. HAM-D (17) and HAM-D (6) effect sizes were assessed. RESULTS: HAM-D (17) effect sizes were negative (favoured placebo) for higher desvenlafaxine doses (200-400 mg/d) at week 1, but were positive for all doses after week 2, with no clear dose-response pattern. However, HAM-D (6) effect sizes were positive for all doses at all weeks. Effect sizes were consistently greater for HAM-D (6) vs. HAM-D (17), regardless of time spent under therapy. Effect sizes were greater for HAM-D (6) vs. HAM-D (17) for all desvenlafaxine doses among patients with baseline HAM-D (17) <25, but not among patients with baseline HAM-D (17) ≥ 25. DISCUSSION: The HAM-D (6) demonstrated greater sensitivity to change and robustness than the HAM-D (17), supporting the greater homogeneity of the HAM-D (6).
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".