Efficacy of Intensive Short-term Dynamic Psychotherapy, Laser Acupuncture, and the Combination in Major Depression
Bibliographic record
Abstract
Introduction: While major depression has been treated with laser acupuncture (LA) and intensive short-term dynamic psychotherapy (ISTDP), the relative efficacy of these two methods and their combination is unclear. ISTDP is a form of dynamic psychotherapy that enables the experience and processing of blocked complex feelings, while LA is based on the opening of blocked energy meridians. The present study aimed to compare the effectiveness of LA and ISTDP and their combination in treating major depression. Methods: A randomized controlled trial was carried out with 45 depressed patients on three equal arms (15 patients in each group): Group I) LA, group II) ISTDP, and group III) combined LA and ISTDP. The participants were evaluated at six time points using the Hamilton rating depression scale (HDRS), structured clinical interview for structured clinical interview for DSM (SCID), and symptom checklist-90 (SCL90), including baseline, session 8, session 12, 1-month follow-up, 2-month follow-up, and 3- month follow-up. Results: HDRS and SCID ratings showed within-group reductions in SCL90 and HDRS scores in the three groups over time. At one of the follow-up times, combined LA+ISTDP showed a greater reduction than either individual treatment on the SCL-90 depression subscale but not on HDRS or SCID. Conclusion: Based on releasing blocked energies, the results of this study indicate that LA and ISTDP are effective in treating major depression. The combination of the two methods may be more effective in reducing depression symptoms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".