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Record W4413486716 · doi:10.1177/17474930251375439

C-REGS2—A multinational, high-quality comparative effectiveness study of Cerebrolysin in moderate acute ischemic stroke

2025· article· en· W4413486716 on OpenAlexaboutno aff
Milan R. Voško, Daniel Šaňák, Young-Rok Do, J.A. Vatanagul, Tamer Roushdy, Natan M. Bornstein, Johannes Vester, Michael Brainin

Bibliographic record

VenueInternational Journal of Stroke · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
FundersEVER Neuro Pharma
KeywordsMedicineCerebrolysinIschemic strokeStroke (engine)Multinational corporationInternal medicineCardiologyIschemia

Abstract

fetched live from OpenAlex

BACKGROUND: The main objective of the Cerebrolysin REGistry Study in Stroke 2 (C-REGS2) was to systematically record the routine clinical use of Cerebrolysin in patients with moderate ischemic stroke (IS) following the principles of a prospective controlled effectiveness study (CES) to compare its effectiveness in terms of functional recovery to patients treated with standard therapy alone. METHODS: C-REGS2 used an open-label, prospective controlled comparative effectiveness design aligning with the Target Trial Emulation Framework (TTEF) and the GRACE principles for high-quality observational studies based on the principles of high-quality comparative effectiveness research (HQCER) to capture treatment effects in clinical practice. The study was conducted in 16 countries worldwide between April 2018 and April 2024. Moderate IS was defined as baseline NIH Stroke Scale (NIHSS) score 8-15. Treatment modalities and concomitant medications were according to local standards. The methodology included rigorous pre-specified analysis and tight risk-based centralized monitoring, to ensure minimal enrollment bias, maximize data quality and overall reliability of trial results. The compared patient groups were standardized using a restricted cohort design and non-parametric multilevel stratification following the Good Research for Comparative Effectiveness (GRACE) principles. The primary endpoint was ordinal analysis of the modified Rankin Scale (mRS) at 90 days after stroke onset. Secondary endpoints were the ordinal NIH Stroke Scale (NIHSS) at day 21 and 90 after stroke onset, the ordinal mRS at 21 days after IS, the proportion of patients with excellent recovery (mRS 0-1) as well as the proportion of patients with functional independence (mRS 0-2) at 90 days after stroke onset and the ordinal analysis of Montreal Cognitive Assessment (MoCA) scale at 90 days after IS. RESULTS: Out of 1865 enrolled patients, the target population (TP) comprised 1769 patients (1021 Cerebrolysin-treated and 748 controls). The median NIHSS at baseline was 10.0. Median Cerebrolysin dose was 30 ml, median treatment duration was 10 days. Cerebrolysin was superior to standard therapy in the primary endpoint independently to prior thrombolysis (MW 0.6157; confidence interval (CI) 0.5910-0.6404; P < 0.0001) as well as in all secondary endpoints: mRS at day 21 (MW 0.6065, 95% CI 0.5811-0.6319, P < 0.0001), NIHSS at day 21 (MW 0.5792; 95% CI 0.5576-0.6008; P < 0.0001) and NIHSS at day 90 (MW 0.5781; CI 0.5561-0.6002; P < 0.0001). Additional pre-specified secondary endpoints (proportion of patients with excellent recovery and functional independence) showed moderate superiority for Cerebrolysin. The ordinal MoCA showed superiority for Cerebrolysin in the TP (MW 0.5530; CI 0.5282-0.5778; P < 0.0001) with more pronounced effects in the subgroup with cognitive impairments at baseline (Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) ⩾ 3.3). No differences in safety measures were recorded. The study is notable for its robust data integrity, with valid entries of 90.9% for the primary 90 day mRS assessment with multilevel case mix standardization and an overall dropout rate to the final visit of only 5.7%. CONCLUSION: The results of the C-REGS2 study showed the effectiveness and safety of Cerebrolysin treatment for moderate acute IS in real-world clinical practice.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.046
GPT teacher head0.377
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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