Cognitive Function with PCSK9 Inhibitors: A 24-Month Follow-Up Observational Prospective Study in the Real World—MEMOGAL Study
Bibliographic record
Abstract
INTRODUCTION: The cognitive safety of monoclonal antibody proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) has been established in clinical trials, but not yet in real-world observational studies. We assessed the cognitive function in patients initiating PCSK9i, and differences in cognitive function domains, to analyze subgroups by the low-density lipoprotein cholesterol (LDL-C) achieved, and differences between alirocumab and evolocumab. METHODS: This has a multicenter, quasi-experimental design carried out in 12 Spanish hospitals from May 2020 to February 2023. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). RESULTS: Among 158 patients followed for a median of 99 weeks, 52% were taking evolocumab and 48% alirocumab; the mean change from baseline in MoCA score at follow-up was + 0.28 [95% CI (- 0.17 to 0.73; p = 0.216)]. There were no significant differences in the secondary endpoints-the visuospatial/executive domain + 0.04 (p = 0.651), naming domain - 0.01 (p = 0.671), attention/memory domain + 0.01 (p = 0.945); language domain - 0.10 (p = 0.145), abstraction domain + 0.03 (p = 0.624), and orientation domain - 0.05 (p = 0.224)-but for delayed recall memory the mean change was statistically significant (improvement) + 0.44 (p = 0.001). Neither were there any differences in the three stratified subgroups according to lowest attained LDL-C level-0-54 mg/dL, 55-69 mg/dL and ≥ 70 mg/dL; p = 0.454-or between alirocumab and evolocumab arms. CONCLUSION: We did not find effect of monoclonal antibody PCSK9i on neurocognitive function over 24 months of treatment, either in global MoCA score or different cognitive domains. An improvement in delayed recall memory was shown. The study showed no differences in the cognitive function between the prespecified subgroups, even among patients who achieved very low levels of LDL-C. There were no differences between alirocumab and evolocumab. REGISTRATION: ClinicalTtrials.gov Identifier number NCT04319081.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".