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Evaluation of neuromodulatory effects of long-term treatment with citicoline in patients with cerebral small vessel disease

2025· article· en· W4408685284 on OpenAlexaboutno aff
Nataliya Bozhenko

Bibliographic record

VenueINTERNATIONAL NEUROLOGICAL JOURNAL · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCiticolineTerm (time)DiseaseAnesthesiaPhysical medicine and rehabilitationIntensive care medicineCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Background. Cerebral small vessel disease (CSVD) is a common pathology resulting from damage to small cerebral vessels, leading to chronic brain ischemia. CSVD is associated with 25 % of ischemic strokes and 45 % of vascular dementia cases. The main symptoms of CSVD include memory impairment, attention deficits, mood swings, gait disturbances, and neuropsychiatric disorders. Pharmacological approaches to treating CSVD are poorly studied and based on a limited number of low-quality studies. Citicoline is a neuroprotective agent used to improve cognitive functions and support neuronal structure. As a precursor of phosphatidylcholine, it helps stabilize cell membranes, reduce ischemic damage, and maintain neuronal structural integrity. It also stimulates the synthesis of acetylcholine, an important neurotransmitter in memory and learning processes. Several studies and meta-analyses have demonstrated the positive effects of citicoline on cognitive, emotional, and behavioral disorders which are often associated with CSVD. This makes citicoline a promising agent for CSVD therapy. To assess its clinical efficacy during long-term (20-day) use in patients with cerebral small vessel disease, a population study titled “Evaluation of neuromodulatory effects during long-term citicoline treatment in patients with CSVD” is starting. Objective: to confirm the clinical efficacy and safety of long-term use of citicolin in the treatment of patients with chronic cerebral vascular disorders (cerebral small vessel disease). Materials and methods. This clinical study is conducted as a multicenter post-registration observational (non-interventional) open-label non-comparative clinical trial. Patients undergo multimodal, clinical, and paraclinical examinations. All patients receive the best standard medical management according to national guidelines and standards approved by the Ministry of Health at the time of the study. Patient population. Patients with chronic cerebral vascular disorders (cerebral small vessel disease) will be included in selected centers in Ukraine. Efficacy criteria and variables. The main variable is the reduction in symptom intensity or cessation, and improvement in the overall condition. Primary efficacy endpoints of the investigational drug. The primary endpoint is the examination using the Hospital Anxiety and Depression Scale and Montreal Cognitive Assessment, conducted by a physician in outpatient practice to increase the level of evidence for citicolin before and after the therapy. Secondary efficacy endpoints of the investigational drug. The secondary endpoints were efficacy of the intervention and safety, tolerability of the drug; changes in concomitant symptoms. Conclusions. Cerebral small vessel disease is a common pathology. Pharmacological approaches to treating CSVD are poorly studied and based on a limited number of low-quality research. Studies have shown that the use of citicoline in appropriate doses is well tolerated and reduces the severity of cognitive, emotional, and behavioral disorders, which are common symptoms of CSVD. The study of the efficacy, safety, and tolerability of citicolin in the treatment of patients with cerebral small vessel disease will improve understanding of the role of neuroprotective therapy in the course of this pathology.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.460

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 science0.0000.000
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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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 designObservational
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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