Assessing the relationship between functional impairment/recovery and depression severity
Bibliographic record
Abstract
The objective of this study was to explore the relationship between assessments of functional impairment, emotional well-being, and depression symptoms. Data were pooled from 3530 outpatients with major depressive disorder enrolled in 10 desvenlafaxine clinical trials. The primary outcome measures included (a) the 17-item Hamilton Rating Scale for Depression (HAM-D17) as a measure of depressive symptom severity and (b) the Sheehan Disability Scale (SDS) and five-item World Health Organization Well-Being Index (WHO-5) as measures of functional impairment and well-being. A linear regression model was used to identify the SDS and WHO-5 values that equate to the predetermined clinically relevant three-point difference between active treatment and placebo on the HAM-D17. A receiver operating characteristic analysis was conducted to determine the SDS score that equates to a remission of depression symptoms (i.e. HAM-D17≤7). An approximate three-point difference between active treatment and placebo on the SDS (2.8) and WHO-5 (2.5) was determined to be clinically relevant in relation to improvements in depressive symptoms. An SDS of less than or equal to 7 was equivalent to a remission of depression symptoms, providing a definition of functional remission. A better understanding of the relationship between depressive symptoms and functional impairment and well-being may provide clinicians with a more comprehensive means of assessing treatment effects in major depressive disorder.
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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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".