A 6-Year Follow-up Study of Vagus Nerve Stimulation Effect on Quality of Life in Treatment-Resistant Depression
Bibliographic record
Abstract
OBJECTIVES: Treatment-resistant depression (TRD) carries a major burden on those affected by this disease and significantly impacts their quality of life (QOL). Vagus nerve stimulation (VNS) has showed promising results on symptoms, but its impact on QOL remains underresearched. This study aims to evaluate the long-term effects of VNS on both QOL and clinical symptoms for TRD patients, through a naturalistic 6-year follow-up. METHOD: Outpatients with confirmed TRD were enrolled to receive VNS. None of the patients enrolled left the study or was lost at follow-up. Patients were evaluated at 1, 3, 6, 12, 24, 36, 48, 60, and 72 months for a total of 10 assessments using the 36 item Short Form questionnaire, Hamilton Rating Scale for Depression and Hamilton Anxiety Rating Scale. RESULTS: Ten patients were enrolled with a mean age of 50 years. This study shows a clinically and statistically significant improvement of the mental QOL (P = 0.012), physical QOL (P < 0.002), depressive symptoms (P < 0.001), and anxiety symptoms (P < 0.001). CONCLUSIONS: This long-term naturalistic study is the first to demonstrate that the therapeutic effect of VNS on TRD goes beyond clinical symptoms to improve the daily QOL of those affected.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 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".