Cervicogenic headache: the specific features of complex therapy with Amelotex and CompligamV
Bibliographic record
Abstract
An open-labeled study of the efficiency and tolerance of complex injection therapy with Amelotex in a dose of 15 mg/day for 6 days and CompligamV in a dose of one ampoule for 15 days was conduced in 30 patients (24 women and 6 men) aged 45 to 71 years with chronic cervicogenic headache (CGH) (its duration of 2 months to 10 years). The Numerical Rating Scale (NRS), the Visual Analog Scale (VAS), the McGill Pain Questionnaire (MPQ), and the Brief Pain Inventory (BPI) developed by C.S. Cleeland were used to rate different characteristics of pain and to evaluate the efficiency of treatment. Laboratory redetermination of the levels of von Willebrand factor, factor VIII, antithrombin III, D-dimer, and homocysteine was made in 10 patients to study hemostatic parameters. Combined injection therapy with Amelotex and CompligamV in patients with CGH reduced the intensity of acute and chronic pain, by affecting both the sensory-discriminative and affective-motivational pain components. The therapy did not worsen endothelial dysfunction, a marker of activated blood coagulation; there was a rise in the content of antithrombin III (within the normal range). Combined injection therapy with Amelotex and CompligamV was observed to be well tolerated and to cause no adverse reactions.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".