Evidence map›Paper›PMID 40832438›Full record

ArticleFrontiers in global women's health2025

Sex differences in clinical risk factors for Alzheimer's dementia patients with early-onset and late-onset.

Nathan Gerhard Faulstich, Sammy Hilmi Omar, Connor John O-Brien, Dami Taiwo Ojo, Philip Cole Brewer, Emmanuel I Nathaniel, Richard Goodwin, Laurie Roley, Adebobola Imeh-Nathaniel, Thomas I Nathaniel

Abstract read
In one paragraph

Article in Frontiers in global women's health, 2025. 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

10 authors.

Nathan Gerhard FaulstichUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.
Sammy Hilmi OmarUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.
Connor John O-BrienUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.
Dami Taiwo OjoUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.
Philip Cole BrewerUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.
Emmanuel I NathanielDepartment of Biology, North Greenville University, Tigerville, SC, United States.
Richard GoodwinDepartment of Biomedical Engineering, University of South Carolina-Columbia, Columbia, SC, United States.
Laurie RoleyPRISMA Health, Upstate South Carolina, Greenville, SC, United States.
Adebobola Imeh-NathanielDepartment of Biology, North Greenville University, Tigerville, SC, United States.
Thomas I NathanielUniversity of South Carolina School of Medicine Greenville, Greenville, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study is to identify the risk factors that contribute to sex differences in patients with Alzheimer dementia (AD), specifically focusing on Early-Onset Alzheimer's Dementia (EAOD) and Late-Onset Alzheimer Dementia (LOAD). Additionally, the study aims to determine whether these risk factors differ between male and female EAOD and LOAD patients. Methods: Our retrospective cohort study included a total of 6,212 patients diagnosed with either EOAD or LOAD from February 2016 to August 2020. Among this population, 687 patients (11.06%) were diagnosed with EOAD, while 5,525 patients (88.94%) had LOAD. We conducted a univariate analysis to identify differences in risk factors between male and female AD patients. A multivariate analysis was also performed to predict specific risk factors associated with male and female EOAD and LOAD patients. Results: In the adjusted analysis, males with LOAD were found to have significantly higher odds of several comorbidities, including dyslipidemia [Odds Ratio (OR) = 1.720, 95% Confidence Interval (CI) = 1.489-1.987, Conclusions: Our findings indicate sex differences in the risk factors for EAOD and LOAD patients. Understanding these risk factors can help us develop strategies to improve diagnostic accuracy, create targeted interventions, and enhance clinical outcomes for both male and female EAOD and LOAD patients.

Indexed as

EAODin Alzheimer's dementiaLOAD risk factorsmale and female patientssex

Identifiers

PMID40832438
PMCPMC12358484

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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.