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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Genetics

Topic: Amyloid, tau and blood-test diagnosis

Background and Purpose- Stroke and Alzheimer disease are 2 major causes of neurological disability in aged people and shared overlapping predictors. In recent prospective studies, high Lp(a) [lipoprotein(a)] level is associated with high risk of stroke but low risk of Alzheimer disease. Whether this reflects a causal association remains to be established. The aim of this study is to examine the causal associations of Lp(a) concentrations on ischemic stroke, ischemic stroke subtypes, and Alzheimer disease. Methods- We used 9 single-nucleotide polymorphisms associated with Lp(a) concentrations as instrumental variables. Summary-level data on ischemic stroke and its subtypes were obtained from the Multiancestry Genome-Wide Association Study of Stroke consortium with European individuals ≤446 696 individuals. Summary-level data on Alzheimer disease were obtained from the International Genomics of Alzheimer Project With European individuals ≤54 162 individuals. Two-sample Mendelian randomization (MR) estimates were calculated with inverse-variance weighted, penalized inverse-variance weighted, simple median, weighted median, and MR Pleiotropy Residual Sum and Outlier approaches, and MR-Egger regression was used to explore pleiotropy. Results- Genetically predicted 1-SD log-transformed increase in Lp(a) concentrations was associated with a substantial increase in risk of large artery stroke (odds ratio, 1.20; 95% CI, 1.11-1.30; P P =0.001) and Alzheimer disease (odds ratio, 0.94; 95% CI, 0.91-0.97; P <0.001) using inverse-variance weighted method. No significant association was observed for total ischemic stroke or cardioembolic stroke. MR-Egger indicated no evidence of pleiotropic bias. Results were broadly consistent in sensitivity analyses using penalized inverse-variance weighted, simple median, weighted median, and MR Pleiotropy Residual Sum and Outlier approaches accounting for potential genetic pleiotropy or outliers. Conclusions- This study provides evidence to support that high Lp(a) concentrations was causally associated with an increased risk of large artery stroke but a decreased risk of small vessel stroke and Alzheimer disease. The mechanism underlying the double-edged sword effect of Lp(a) concentrations on neurological system requires further investigation.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Pan, Y., Li, H., Wang, Y., & Meng, X. (2019). Causal Effect of Lp(a) [Lipoprotein(a)] Level on Ischemic Stroke and Alzheimer Disease: A Mendelian Randomization Study. Stroke. https://doi.org/10.1161/strokeaha.119.026872

Vancouver

Pan Y, Li H, Wang Y, Meng X. Causal Effect of Lp(a) [Lipoprotein(a)] Level on Ischemic Stroke and Alzheimer Disease: A Mendelian Randomization Study. Stroke. 2019. doi:10.1161/strokeaha.119.026872. PMID: 31597550.

BibTeX

@article{pan2019-31597550,
  author  = {Pan, Y. and Li, H. and Wang, Y. and Meng, X.},
  title   = {{Causal Effect of Lp(a) [Lipoprotein(a)] Level on Ischemic Stroke and Alzheimer Disease: A Mendelian Randomization Study}},
  journal = {Stroke},
  year    = {2019},
  doi     = {10.1161/strokeaha.119.026872},
  pmid    = {31597550},
  url     = {https://doi.org/10.1161/strokeaha.119.026872}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Why it matters

This genetic analysis found that higher genetically predicted lipoprotein(a) levels were associated with increased risk of large artery stroke and with Alzheimer disease. It examines a possible causal risk factor but does not test or show any treatment or prevention.

Study details

How this study scored 47/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 2 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 4 of 7; Citations per year 3 of 5; Impact for its field and year 3 of 6; Cited by studies here 1 of 6; Still being cited 2 of 4; Senior author's track record 3 of 4; Institution's track record 0 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 47 of 100.47 of 100 points earned53 not earned

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Stroke)
Journal's citation record 3 / 4 Stroke: journal h-index 455 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 2 / 5 2019 — within 10 year(s) of the newest study here
Sample size 2 / 4 696 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 4 / 7 Cited 88 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 9.8 citations a year over 9 year(s) since 2019
Impact for its field and year 3 / 6 Cited 3.9× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 2 / 4 Cited 46 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 3 / 4 Last-listed author Yongjun Wang: h-index 94 (OpenAlex, whole career)
Institution's track record 0 / 3 Capital Medical University: institution h-index 643 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 31597550)
Free to read 0 / 2 Behind a paywall — scores zero
Total 47 / 100 —

What each of these 20 components measures, and what this score is not →

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Later studies that cite this one

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