Evidence map›Paper›PMID 39759951›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

The association of cholesterol levels with memory and memory change over a 14-year period in a US national cohort.

Silvia Miramontes, Umair Khan, Erin L Ferguson, Marina Sirota, M Maria Glymour

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Silvia MiramontesBakar Computational Health Sciences Institute University of California, San Francisco San Francisco California USA.
Umair KhanBakar Computational Health Sciences Institute University of California, San Francisco San Francisco California USA.
Erin L FergusonDepartment of Epidemiology and Biostatistics University of California, San Francisco San Francisco California USA.
Marina SirotaBakar Computational Health Sciences Institute University of California, San Francisco San Francisco California USA.
M Maria GlymourDepartment of Epidemiology and Biostatistics University of California, San Francisco San Francisco California USA.

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
ApoE Genotype-Directed Drug Repositioning and Combination Therapy for Alzheimer's DiseaseR01AG057683 · NIA · J. DAVID GLADSTONE INSTITUTES · PI HUANG, YADONG, SIROTA, MARINA · 2017 to 2021
$4.3M
An Integrative Multi-Omics Approach to Elucidate Sex-Specific Differences in Alzheimers DiseaseR01AG060393 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SIROTA, MARINA · 2018 to 2022
$4.1M
Statin Treatment and Incident Alzheimer's Disease and Related Dementias in a Large, Multi-ethnic Health PlanRF1AG069259 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI GLYMOUR, MEDELLENA MARIA, KRAUSS, RONALD M · 2020 to 2020
$3.0M
Evaluating social and clinical risk factors for the progression from Mild CognitiveImpairment to Alzheimer’s Disease and Related Dementias using Real World ClinicalDataF31AG085938 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIZARRAGA, SILVIA MIRAMONTES · 2024 to 2025
$92k
Evaluating routine clinical decisions in providing primary care for people living with Alzheimer's Disease or Alzheimer's Related Disorders: using electronic health records to provide timely evidenceF31AG085965 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERGUSON, ERIN LAURA · 2024 to 2025
$86k
NIA NIH HHS F31 AG085938NIA NIH HHS F31 AG085965NIA NIH HHS R01 AG057683NIA NIH HHS R01 AG060393NIA NIH HHS RF1 AG069259NIA NIH HHS T32 AG049663NIGMS NIH HHS T32 GM067547
6 · The paper itself

Abstract

introductionThe impact of cholesterol on late-life cognition remains controversial. We investigated the association of high-density lipoprotein cholesterol (HDL-C) and non-HDL-C with memory in a nationally representative cohort.

methodsHealth and Retirement Study (HRS) participants (

resultsHigher baseline HDL-C (mean: 53.9 mg/dL) predicted better memory scores ( DISCUSSION: While higher peripheral HDL-C is linked to better memory, the small effect sizes and absence of associations of HDL-C and non-HD-CL with memory change suggests that peripheral cholesterol has a small effect on the variation of memory scores. Highlights: Higher HDL-C levels predict better memory scores but not memory change across 14 years of follow-up.Baseline higher LDL-C levels predict poorer memory scores across time, but not memory change.The small effects and absence of consistent association between cholesterol levels and memory change suggest that cholesterol plays a minor role in cognitive decline.

Indexed as

cardiovascular risk factorscognitive outcomeshigh‐density lipoprotein cholesterollipidslow‐density lipoprotein cholesterolmodifiable risk factorsvascular risk factors

Identifiers

PMID39759951
PMCPMC11696025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.