MétaCan
Menu
Back to cohort

Is Cerebrolysin effective in reducing symptoms of Diabetic Peripheral Neuropathy?

2023· article· en· W4387585520 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Endocrinology and Diabetes · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
FundersEVER Neuro Pharma
KeywordsCerebrolysinMedicineDiabetes mellitusVisual analogue scaleInternal medicinePeripheral neuropathyConfidence intervalPhysical therapyEndocrinology

Abstract

fetched live from OpenAlex

Aim This is an investigator initiated observational comparative medical program, to test the efficacy of Cerebrolysin® intake for 1 month versus 2 months, in patients clinically diagnosed with type 2 diabetes mellitus (T2DM) and suffering from peripheral neuropathy. Methods Patients aged ≥ 18 years old, clinically diagnosed with mild or moderate painful diabetic polyneuropathy, received Cerebrolysin® for 1 or 2 months according to investigators’ decision. Demographic data, detailed medical history, and laboratory results were collected at baseline. All enrolled patients were evaluated for Toronto Clinical Scoring System (TCSS), Visual Analogue Scale (VAS) and Leeds Assessment of Neuropathic Symptoms and Signs Pain Scale (LANSS) at baseline and end of the program (1 month/2 month). Results VAS, TCSS, and LANSS were significantly improved for all 136 enrolled patients at the end of their treatment with Cerebrolysin® for 1 or 2 months, regarding gender, duration since diagnosis of T2DM (more than or less than 10 years) and HbA1c ≤ 9% or ˃ 9%, with a very highly statistically significant difference (p-value ˂ 0.001). They were slightly improved more in patients received Cerebrolysin® for 1 month more than for 2 months. There was no statistically significant difference for gender, duration of diagnosis with diabetes mellitus less or more than 10 years, and HbA1c ≤ 9% & ˃ 9% regarding the change of VAS, TCSS, and LANSS as dependent variables, using Linear stepwise regression. While there was noticed improvement in VAS, TCSS, and LANSS with use of Cerebrolysin® for 1 month more than 2 months, Regression Coefficient (B (95% of Confidence interval)) B=0.794 (0.29-1.29), B=1.472 (0.87-2.074), B=2.143 (0.45-3.83) and p-value = 0.002, p-value ˂ 0.001, p-value = 0.13 respectively. There was no adverse event (AE) or serious adverse event (SAE) reported during the program. Conclusion: Cerebrolysin® is considered effective in the management of peripheral neuropathy in patients with T2DM Abbreviations: Adverse Event (AE), Advanced Glycation End products (AGE), Contract Research Organization (CRO), Diabetic Peripheral Neuropathy (DPN), Diacylglycerol (DAG), estimated Glomerular Filtration (eGFR), Fasting Blood Sugar (FBS), Leeds Assessment of Neuropathic Symptoms and Signs Pain Scale (LANSS), Peripheral Vascular Disease (PVD), Pin- Prick Threshold (PPT), Protein Kinase C (PKC), Statistical Analysis Plan (SAP), Serious Adverse Event (SAE), Standard Deviation (SD), Type 1 Diabetes Mellitus (T1DM), Type 2 Diabetes Mellitus (T2DM), Toronto Clinical Scoring System (TCSS), Traumatic Brain Injury (TBI), Visual Analogue Scale (VAS).

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 score0.044
Threshold uncertainty score0.353

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Endocrinology and DiabetesSame topicNeurological Disorders and TreatmentsFrench-language works237,207