An examination of symptoms, function and quality of life as conjoint clinical outcome domains for treatment-resistant depression
Bibliographic record
Abstract
Objective The treatment of depression aims to improve depressive symptoms, daily function and quality of life (QoL). These exploratory analyses of a database of convenience from the RECOVER trial evaluated how a "tripartite" metric based on these 3 outcome domains might perform in treatment-resistant depression (TRD). Methods Outcome domains included depressive symptoms (MADRS, QIDS-C, QIDS-SR), function (WPAI item-6) and QoL (Mini-Q-LES-Q) obtained at months 3, 6, 9 and 12 in outpatients with markedly TRD in the double-blind RECOVER trial that compared sham to active adjunctive vagus nerve stimulation (VNS). For each domain, clinically meaningful differences were defined a priori . Analyses addressed 3 questions: 1) Does each domain detect meaningful benefits undetected by the other domains? 2) Is the tripartite metric validated by an independent clinician-rated global index of improvement (CGI-I)? 3) How well does the tripartite metric detect treatment group differences in the RECOVER trial? Results Clinically meaningful reductions in depressive symptoms alone missed 25–51 % of all participants who evidenced clinically meaningful benefits in depressive symptoms, function or QoL. The tripartite metric strongly correlated with CGI-I ratings (tetrachoric r = 0.73–0.85), with stronger relationships than each component individually. The tripartite metric successfully separated active from sham adjunctive VNS in a 1-year trial of patients with markedly TRD. Conclusion Symptoms, function and QoL capture distinct, clinically significant and valid outcomes that identify persons with markedly TRD with a range of clinically meaningful benefits. Whether these results pertain to other major depressive disorder patient groups and treatments deserves study.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".