원저 : 경막외신경차단술로 치료 중인 척추관 협착증 환자에서 거창만령단과 침의 효능 및 안전성 연구(예비임상연구)
Bibliographic record
Abstract
Objectives : This study was designed to obtain basic data for a further large-scale trial as evaluating the efficacy and safety of Geochangmanryeung-dan(GMD) and acupuncture on patient with spinal stenosis treated by epidural steroid injection. Methods: The study is a randomized controlled pilot clinical trial, conducted over 8 weeks. Twenty participants will be recruited and randomly allocated to 2 groups: an experimental(GMD and acupuncture with epidural steroid injection) group and a control(only epidural steroid injection) group. The epidural steroid injection will be administered once per 2 weeks for 6 weeks(3 times in total). GMD will be administered as a dose of 5 pills, 3 times per day, for 6 weeks. Acupuncture will be performed 2 times per week for 6 weeks(12 times in total). The primary outcome will be measured by visual analogue scale and self-rated walking distance. The secondary outcome will be measured by PainVision, short-form McGill Pain Questionnaire, and Oswestry Disability Index. Both primary and secondary outcomes will be measured at baseline, 2, 4, 6, and 8 weeks. The last assessment(at 8 weeks) will be performed 2 weeks after treatment cessation. Conclusions : This clinical trial, as the pilot study for a future large-scale trial, will provide clinical information for evaluating the efficacy and safety of GMD and acupuncture treatment in combination with epidural steroid injection for the treatment of spinal stenosis.
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.
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 | 0.002 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".