Abstract
Keywords
Introduction
Stroke remains a leading cause of disability and mortality worldwide, meaning new treatments and rehabilitation are needed. 1 While randomized controlled trials (RCTs) are considered the gold standard in clinical research, their design is optimized for internal validity, hence including narrowly defined patient populations. Consequently, further research on the effectiveness and safety of therapeutic interventions under routine clinical conditions is needed.
Post-approval phase 4 and non-interventional studies have increased in relevance due to real-world evidence’s growing value, complementing pre-approval studies2,3 by providing important data on safety and performance across diverse patient populations in routine clinical settings.4 –6
These data are increasingly used by regulatory agencies, health technology assessment bodies, and payers to facilitate informed decision-making.7,8 Comparative Effectiveness Research (CER) studies are particularly valuable in therapeutic areas such as stroke, where patient heterogeneity and the complexity of care necessitate evidence from routine clinical contexts. 9
To ensure the methodological robustness of such studies, several frameworks have been established. The GRACE and Target Trial Emulation Framework (TTEF) principles provide guidance on study design, transparency, and analytical rigor in CER.10,11 They are used to steer the design of high-quality studies by emphasizing pre-defined protocols, selection of appropriate comparator groups, implementation of bias mitigation strategies, and sensitivity analyses.12,13 With the principles applied consistently CER can offer reliable data sets that complement and extend those from RCTs. 14
Cerebrolysin, a neuropeptide preparation with multimodal activity, was demonstrated to mimic the activity of endogenous neurotrophic factors. Thereby it promotes cerebroprotection, neuroplasticity and neurogenesis by modulating relevant signal transduction pathways such as PI3K/Akt, Sonic Hedgehog and MAPK/ERK. It improves the blood brain barrier integrity, reduces inflammation and has shown efficacy in improving functional as well as cognitive outcomes in stroke models.15 –18 The Cerebrolysin and Recovery After Stroke (CARS) trials demonstrated a significantly better improvement in motor function and global outcome in patients receiving Cerebrolysin and motor rehabilitation compared to placebo with a number needed to treat of 7.1 for clinically relevant changes in early neurological recovery.19,20 In patients suffering from nonfluent aphasia after stroke (ESCAS trial), treatment with Cerebrolysin resulted in significantly improved speech recovery and reduced neurological deficits. 21 Meta-analyses confirmed the beneficial effects of Cerebrolysin on early neurological recovery and safety of the drug.22 –24 Several guidelines recommend the use of Cerebrolysin for neurorehabilitation after stroke.25,26 Following the previous results, we aimed to evaluate the effectiveness of Cerebrolysin treatment in a real-world setting in acute IS patients with moderate stroke severity.
Methods
C-REGS2 was a prospective, non-randomized, open label observational CER study adhering to principles of HQCER 27 and the GRACE principles 10 and additionally covering key conceptual components of a target trial 11 (Grace Checklist and Target Trial Emulation Framework components see supplemental material Tables S1 and S2). The study combined a structured methodological approach with pre-defined analysis procedures and risk-based centralized monitoring, as well as blinded implementation of the Statistical Analysis Plan and analysis database by an independent central statistical institution.
All enrolled patients signed an Informed Consent Form. IS treatment and use of Cerebrolysin were according to local standards and not amended or influenced by the study protocol. Concomitant medication was not restricted.
To minimize bias and confounder effects, patient groups were standardized using non-parametric multilevel stratification procedures, as recommended by the GRACE guideline. 10 Top-level stratification was based on NIHSS including baseline values from 8–15 formally combined by means of the robust nonparametric Wei-Lachin procedure of stochastic ordering.28,29 Given the recommended lower inclusion limit of 8, 30 the upper limit had technically to be set to 15 to preserve sufficient substrata sample sizes.
Second-level stratification was performed to adjust for age, diabetes, and small vessel disease using Cochran-Mantel-Haenszel pooling 28 (Figure 1). In accordance with CER principles, a restricted cohort design was used to further minimize confounding by excluding patients with prior stroke or baseline disability (mRS > 1). 27 Furthermore, a direct acyclic graph confirmed that all variables included in the stratification were true confounders (see supplement Figure S1).

Restricted cohort design with multilevel stratification.
A formal nonparametric sample size calculation was performed although power estimates were indicative only. The calculation was set to allow the detection of “small” group differences with 90% power. The calculated total sample size resulted in 1745 subjects. To compensate for usual ambiguities, it was enhanced by a factor of 1.15 to a total of approximately 2000 subjects.
Outcomes and endpoints
The primary endpoint was the ordinal analysis of the mRS at day 90 after IS. Secondary endpoints were the NIHSS scores at days 21 and 90 and mRS at day 21. Furthermore, mRS scores were analyzed for excellent recovery (mRS 0–1) and functional independence (mRS 0–2). To evaluate cognitive declines the MoCA 31 at day 90 after IS was used.
Further sensitivity analyses were performed, including worst rank imputation for missing mRS values in the Cerebrolysin group, analysis of non-fatal serious adverse events, MoCA outcome based on the dichotomized IQCODE (⩽3.3 and >3.3), 32 thrombolysis and admission to stroke unit. With respect to the primary ordinal effectiveness outcomes, an analysis of covariance (ANCOVA) with adjustment for baseline NIHSS scores was performed as a sensitivity analysis (TP and Intention to Include (ITI) population).
For ordinal and binary data, the Mann–Whitney (MW) statistic was employed.33 –35 Superiority testing was conducted under the null hypothesis of no difference between treatment groups, with interpretation thresholds ranging from inferiority (MW < 0.5) to superiority (MW > 0.5).
Results are given as P values as well as MW effect size measures with their associated confidence intervals.33 –36 The MW statistic can also be re-expressed in other common effect size measures28,33,37 like odds ratio (OR) or Number Needed to Treat. Details are shown in Table S3 in the Supplement.
For dichotomized outcomes ORs were calculated, supplemented by MW effect size for inter-outcome comparisons. 33
Safety analyses evaluated mortality, adverse events, and serious adverse events based on observed cases using ORs, with both confounder-adjusted and sensitivity analyses conducted on the ITI population. Non-fatal serious adverse events were evaluated in addition to serious adverse events to provide insight on the outcome of stroke survivors.
Data quality was maintained through an electronic case report form (eCRF) system with built-in validation and independent, centralized statistical monitoring. In agreement with ICH E6 (R2), EMA/269011/2013, 38 the Statistical Analysis Plan was finalized and placed in the ISRCTN repository before database lock and unblinding of the statistician for analysis.
The detailed methodology of C-REGS-2 was previously published. 29
Results
In total, 1865 patients were enrolled in 16 countries in Europe, Asia, Africa, and South America from April 2018 until December 2023. About 3.2% of the enrolled patients did not meet the ITI inclusion criteria. From the ITI population 2.0% did not meet the inclusion criteria for the TP. Thus, 94.5% of all enrolled patients were included in the TP and 90.0% of enrolled patients were finally included in the pre-specified analysis. The demographic and baseline characteristics of analyzed patients are shown in Table 1 (boxplots for continuous baseline variables are shown in supplement Figure S2).
Demographic baseline characteristics (TP).
Percentages based on ITI population.
Calculated from stroke onset.
NIHSS, National Institutes of Health Stroke Scale; IQR, interquartile range.
A study flow-diagram is available in Figure 2.

CONSORT (Consolidated Standards of Reporting Trials) flow diagram.
Effectiveness evaluation
The pre-planned analysis of the ordinal mRS as primary outcome using the MW effect size measure showed a statistically significant small to medium superiority of Cerebrolysin treatment compared to the control (MW 0.6157; 95% CI 0.5910–0.6404; P < 0.0001; I2 = 0.0000; Figure 3).

Ordinal analysis of the mRS (all stages, TP) at 90 days after stroke onset (absolute scores, MW effect size, observed cases (OC), TP).
Regarding missing final mRS scores, a worst rank score imputation was performed for the Cerebrolysin group as a conservative sensitivity approach. The worst rank score results well supported the primary results (P < 0.0001 in both scenarios, data not shown), excluding bias due to premature discontinuation.
Ordinal mRS was also analyzed for early recovery after stroke (day 21), likewise showing a small to medium superiority for the Cerebrolysin group (MW 0.6065; 95% CI 0.5811–0.6319; P < 0,0001; I2 = 0.1696) (see Supplement Figure S3).
The evaluation of the multilevel-adjusted proportion of patients with excellent recovery on day 90 (mRS 0–1, TP, OC), showed an MW of 0.66 (95% CI 0.62–0.70; PWei-Lachin < 0.0001; I2 = 0.0000), with derived OR 33 of 2.74 (95% CI 2.12–3.60) in favor of Cerebrolysin. Similar results were found for the proportion of patients with functional independence (mRS 0–2) with an MW of 0.67 (95% CI 0.63–0.71; PWei-Lachin < 0.0001; I2 = 0.0000), and an derived OR 33 of 2.88 (95% CI 2.28–3.68) (see Supplement Figures S4 and S5).
The analysis of the ordinal NIHSS showed a small superiority of Cerebrolysin compared to the control group (MW 0.5781; 95% CI 0.5561–0.6002; P < 0.0001; I2 = 0.3134; Figure 4) on day 90 and a similar result on day 21 (MW 0.5792; 95% CI 0.5576–0.6008; P < 0.0001; I2 = 0.3210; see Supplement Figure S6), again indicating clinical improvement of Cerebrolysin-treated patients already in the early recovery period.

Ordinal NIH Stroke Scale (NIHSS) at 90 days after stroke onset (absolute scores, MW, OC, TP).
The analysis of the MoCA scale at day 90 post-stroke demonstrated a small, yet statistically significant superiority of Cerebrolysin compared to the control group (MW 0.5530; 95% CI 0.5282–0.5778; P < 0.0001; I²= 0.0000; Figure 5). To account for pre-stroke cognitive status, the MoCA data was dichotomized as previously described (IQCODE ⩽ 3.3, no evidence of pre-stroke cognitive impairment, IQCODE > 3.3 suggestive of pre-existing cognitive decline). 39 MoCA scores at day 90 were generally higher in patients with IQCODE ⩽ 3.3 (MW 0.5282; 95% CI 0.5040–0.5524; P = 0.0222; I²= 0,0000) compared to those with IQCODE > 3.3 (MW 0.5803; 95% CI 0.5306–0.6300; P = 0.0015; I²= 0.0000; Figure 6). Notably, the effect of Cerebrolysin on cognitive outcome was particularily pronounced in the subgroup with evidence of pre-stroke cognitive deficits (IQCODE > 3.3), indicating that these patients experienced the greatest treatment benefit in terms of cognitive outcome.

Ordinal MoCA, 90 days after stroke onset (MW, OC, TP).

Scatter plots of MoCA scores at 90 days post-stroke, stratified by baseline IQCODE (⩽ 3,3 vs > 3,3).
A sensitivity analysis compared the mRS at 90 days after stroke onset in patients with and without thrombolysis (Figure 7 Panel A and B). In the TP, 17.6% of the patients received thrombolysis. In the non-thrombolysis group (82.4%) the treatment effect of Cerebrolysin was comparable to the primary outcome (MW 0.6226; 95% CI 0.5943–0.6505; P < 0.0001; I2 = 0.0000; Figure 7, Panel A).

Ordinal analysis of the mRS at 90 days after stroke onset compared between patients without (Panel A) and with (Panel B) IV thrombolysis (absolute scores, MW, OC, TP).
Of note, in the group of patients that received thrombolysis, Cerebrolysin treatment still resulted in a statistically significant superiority in the pre-specified robust Wei-Lachin procedure, despite the substantially smaller sample size (MW 0.5723; 95% CI 0.5091–0.6354; PWei-Lachin = 0.0248; I2 = 0.3537; Figure 7, Panel B).
Analysis of patients receiving stroke unit care or not, showed a similar result. Patients not treated in a stroke unit (34.70%) showed again a small to medium superiority for the Cerebrolysin group (MW 0.6673; 95% CI 0.6159–0.7188; P < 0.0001; I2 = 0.0000). Patients receiving stroke unit care (65.30%) still showed a small superiority in the Cerebrolysin group (MW 0.5999; 95% CI 0.5696–0.6301; P < 0.0001; I2 = 0.0000).
Safety analysis
Deaths, Serious Adverse Events, and non-fatal Serious Adverse Events showed no significant differences between groups (all P ⩾ 0.1). All analyses were performed in the ITI population, using a fixed-effects model with adjustment for stroke severity.
Discussion
The C-REGS2 study showed that the Cerebrolysin treatment had significant benefit on functional outcome at 90 days after IS compared to standard treatment alone, consistent with findings from controlled clinical trials.19 –21 Based on the effect size and their benchmark values for relevance of difference 37 the effect size of MW 0.6157 corresponds to an OR of approximately 2.03 and a number needed to treat of 8,64 suggesting a moderate treatment effect. 40
Secondary endpoints, including NIHSS at days 21 and 90, mRS at day 21, and categorical functional outcomes (e.g. independence), yielded results consistent with the primary analysis. Notably, early recovery (day 21) benefits, which were in line with prior studies22,41 indicate that treatment with Cerebrolysin can increase the pace of recovery mechanisms post-stroke indeed.
Given the approval status of Cerebrolysin in about 60 countries, a large, real-world, multinational observational CER study was initiated. While RCTs are considered the gold standard in clinical research, observational studies offer the significant advantage of broader patient selection and enhanced external validity. 6 Such studies reflect routine clinical practice more accurately, improving the generalizability of outcomes and providing a valuable data set for decision-making by regulatory agencies and health technology assessment bodies.
Nevertheless, the lack of randomization, stringent patient selection, and blinding in observational studies may introduce potential bias. 42 To mitigate these limitations, C-REGS2 was designed following the GRACE guidelines,12,43 ensuring rigorous methodological standards. Key confounders, such as small vessel disease, prior stroke, prior disability, diabetes, and age, 44 were accounted for in a pre-specified case-mix standardization strategy. 29 Baseline stroke severity was addressed through appropriate patient stratification to ensure comparable patient cohorts.30,45,46 To avoid ceiling effects due to spontaneous recovery only patients with baseline NIHSS 8 and above were included.
A risk-based centralized monitoring system was implemented ensuring consistent data quality and close patient follow-up. This approach resulted in a very low dropout rate (5.7%) and a high proportion of patients included in the final analysis (90%), minimizing potential attrition bias. The inclusion of over 1.800 patients across 16 countries worldwide ensures a wide representation of clinical practices, stroke etiologies, and healthcare systems.
Originally planned with a two-stage adaptive procedure according to Bauer-Köhne, 29 the scientific advisory board recommended a seamless transition due to delayed recruitment caused by the COVID19 pandemic. However, a sensitivity analysis was conducted using the originally specified Bauer-Köhne procedure, showing that Type I error control was maintained (details see supplement Table S4).
The thrombolysis rate of 17.6% (TP) across participating countries, though below optimal thresholds, exceeded expectations in many low- and middle-income geographies where the study has been performed. 47 Due to an observed baseline group difference in thrombolysis rates (21.4% vs 12.4%) a sensitivity analysis based on the principle of like-to-like comparison was performed, evaluating patients receiving thrombolysis and patients without thrombolysis as separate strata. Cerebrolysin was shown to be effective in both patient groups, suggesting that it offers a treatment option for patients not receiving thrombolysis (MW 0.6224, OR 2.11, Number Needed to Treat 8.2) but that it can also provide benefit as adjunctive therapy to thrombolysis. These results are in line with the meta-analysis of Bornstein et al. 22 and Guekht et al., 20 showing a combined Number Needed to Treat of 7.7 and 7.1 respectively for clinically relevant changes in early NIHSS. For further confirmation of this observation additional randomized studies are warranted. Similar results were obtained for Stroke-Unit and general hospital settings, affirming its role as a viable therapeutic option across diverse acute stroke care settings. Subgroup analyses of the 90 day mRS, stratified by thrombolysis status, provide clear evidence for the consistency of the treatment effect, with a stronger treatment effect in the group not receiving thrombolysis. Due to competitive effectiveness of thrombolysis and Cerebrolysin, the less-pronounced results in the group of patients with thrombolysis are well explainable.
Post-stroke cognitive impairment is a common sequel after stroke, and it can significantly affect stroke patient outcomes and caregivers. Post-stroke cognitive impairment is most prevalent in the first year after IS, with rates of up to 60% in survivors. 48 Post-stroke cognitive development, as assessed by MoCA at 90 days, likewise showed favorable effects for Cerebrolysin, particularly in patients with suspected pre-stroke cognitive decline (IQCODE > 3.3). This finding aligns well with prior studies demonstrating the cognitive benefits of Cerebrolysin49,50 in various patient populations. Considering this fact, further research is needed to address these issues.51 –53 RCTs aiming to study the long-term effects of Cerebrolysin on cognitive outcomes in post-stroke patients are ongoing with results expected in 2026.21,54
Safety data from C-REGS2 were consistent with prior clinical trial findings, 23 with no significant differences in the incidence of death, serious adverse events, or non-fatal Serious Adverse Events between the Cerebrolysin and control groups, underscoring the intervention’s favorable tolerability profile.
Despite its strengths, C-REGS2 has some limitations as an observational CER study, including the possibility of residual confounding. While the study adhered to GRACE principles and advanced standardization techniques were applied to deal with key confounders, causal inferences remain more limited compared to RCTs. However, the main findings from C-REGS2 were in line with previous RCTs, suggesting overall validity of the results. All sensitivity analyses were in agreement with the results of the primary outcome, emphasizing the robustness of the data set. Furthermore, treatment duration and dosing were not standardized and administered according to local treatment standards, reflecting real-world conditions. In conclusion, these characteristics position C-REGS2 as a valuable complement to the more controlled settings of RCTs and the results further emphasize the added value of Cerebrolysin treatment for acute and sub-acute stroke care.
Supplemental Material
sj-docx-1-wso-10.1177_17474930251375439 – Supplemental material for C-REGS2—A multinational, high-quality comparative effectiveness study of Cerebrolysin in moderate acute ischemic stroke
Supplemental material, sj-docx-1-wso-10.1177_17474930251375439 for C-REGS2—A multinational, high-quality comparative effectiveness study of Cerebrolysin in moderate acute ischemic stroke by Milan R Vosko, Daniel Sanak, Youngrok Do, Jarungchai S Vatanagul, Tamer Roushdy, Natan M Bornstein, Johannes C Vester and Michael Brainin in International Journal of Stroke
Footnotes
Author contributions
Declaration of conflicting interests
Funding
Ethical considerations
Consent to participate
Data availability
Supplemental material
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
