Assessing the relationship between functional impairment/recovery and depression severity
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
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.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it