Treatment Resistant Depression— Advances in Somatic Therapies
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
BACKGROUND: The failure to achieve remission for patients with Major Depressive Disorder (MDD) represents a major public health concern. Inadequately treated depression is associated with higher rates of relapse, poorer quality of life, deleterious personal and societal economic ramifications, as well as increased mortality rates. Unfortunately, only a minority of patients achieves this goal with initial antidepressant treatment and by convention, failure to achieve response after two adequate trials of antidepressant therapy defines "Treatment Resistant Depression" (TRD). Furthermore, results from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) group of studies suggest that approximately 50% of "real world" patients who meet criteria for MDD fail to achieve remission, even after four carefully monitored sequenced treatments. METHODS: Given these limitations of existing antidepressant medications alone and in combination, together with improved understanding of the neural circuitry of depression, it is not surprising that there is a renewed interest in neuromodulation strategies for TRD. RESULTS: The purpose of this article is to review the evidence for the inclusion of various non-pharmacological, neuromodulatory strategies for TRD. Specifically, information regarding the mechanism, tolerability and efficacy of electroconvulsive therapy (ECT), magnetic seizure therapy (MST), repetitive transcranial magnetic stimulation (rTMS), vagal nerve stimulation (VNS), and deep brain stimulation (DBS) in ameliorating TRD will be presented. CONCLUSIONS: Although these treatments are at various stages of clinical development, they represent a new frontier in expanding the treatment options available for individuals with TRD, as well as contributing to a better understanding the neurobiology of depressive disorders.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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