4 See Appendix for a listing of the members of the Cerebrolysin Study Group
Bibliographic record
Abstract
Summary. Background and purpose. Cerebrolysin is a compound with neuro-trophic and neuroprotective activity. It is produced by enzymatic breakdown of purified brain proteins and consists of low molecular weight peptides and amino acids. Cellular and animal models of cerebral ischaemia have shown that it is a potent neuroprotective agent. We explored the safety and preliminary outcome of Cerebrolysin treatment in patients with acute stroke. Methods. Randomised, placebo-controlled, parallel group trial. Patients with acute stroke were random-ised within 24 h of stroke onset to IV therapy with placebo or Cerebrolysin 50 mL=day for 21 days. Both groups received concomitant treatment with ASA 250 mg=day PO and pentoxifylline 300 mg=day IV. Clinical examinations were performed on days 1, 3, 7, 21 and 90 post baseline. Outcome measures were the Canadian Neurological Scale, the Barthel Index, the Clinical Global Impres-sions, the Mini-Mental State Examination, and the Syndrome Short Test. Treat-ment emergent adverse events, lab tests, and vital signs were recorded to assess the safety of Cerebrolysin. Results. 146 patients were enrolled in two groups: 78
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.271 | 0.112 |
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".