Current trends in the assessment and somatic treatment of resistant/refractory major depression: An overview
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
A significant proportion of depressed patients eventually present with treatment-resistant/refractory major depression (TRD), a debilitating condition that imposes significant health, social, and economic burdens. Recently, a growing level of consensus has been reached on the general meaning of TRD, according to which, depression is considered resistant when at least two trials with antidepressants from different pharmacologic classes (adequate in terms of dose, duration, outcome, and compliance) failed to achieve clinical remission. Regarding the management of TRD, a two-step approach is suggested, involving first the evaluation of factors that may contribute to treatment nonresponse (such as comorbid medical and psychiatric conditions), and second, the use of the four classical strategies for enhancing antidepressant efficacy (namely optimization, augmentation, combination, and switching). Finally, future research on TRD should include studies addressing, among other issues, the validity of the proposed definitional criteria, the evaluation of reliable predictors of treatment outcome, and the development of novel therapeutic strategies.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it