Guidelines’ recommendations for the treatment-resistant depression: A systematic review of their quality
Bibliographic record
Abstract
INTRODUCTION: Depression is a serious and widespread mental health disorder. A significant proportion of patients with depression fail to remit after two antidepressant treatment trials, a condition named treatment-resistant depression (TRD). Clinical practice guidelines (CPGs) are instruments aimed to improve diagnosis and treatment. This study objective is to systematically appraise the quality and elaborate a comparison of high-quality CPGs with high-quality recommendations aimed at TRD. METHODS AND ANALYSIS: We searched several specialized databases and organizations that develop CPGs. Independent researchers assessed the quality of the CPGs and their recommendations using AGREE II and AGREE-REX instruments, respectively. We selected only high-quality CPGs that included definition and recommendations for TRD. We investigated their divergencies and convergencies as well as weak and strong points. RESULTS: Among seven high-quality CPGs with high-quality recommendations only two (Germany's Nationale Versorgungs Leitlinie-NVL and US Department of Veterans Affairs and Department of Defense-VA/DoD) included specific TRD definition and were selected. We found no convergent therapeutic strategy among these two CPGs. Electroconvulsive therapy is recommended by the NVL but not by the VA/DoD, while repetitive transcranial magnetic stimulation is recommended by the VA/DoD but not by the NVL. While the NVL recommends the use of lithium, and a non-routine use of thyroid or other hormones, psychostimulants, and dopaminergic agents the VA/DoD does not even include these drugs among augmentation strategies. Instead, the VA/DoD recommends ketamine or esketamine as augmentation strategies, while the NVL does not mention these drugs. Other differences between these CPGs include antidepressant combination, psychotherapy as a therapeutic augmentation, and evaluation of the need for hospitalization all of which are only recommended by the NVL. CONCLUSIONS: High-quality CPGs for the treatment of depression diverge regarding the definition and use of the term TRD. There is also no convergent approach to TRD from currently high-quality CPGs.
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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 | 0.080 | 0.343 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.021 | 0.019 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".