Evidence map›Paper›PMID 42528566›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Curation of Mini Mental State Examination (MMSE) Scores in the VA Million Veteran Program (MVP): Applications for Cognitive Aging Research.

Francesca V Lopez, Margaret Gillis, Sophia Lee, McKenna S Sakamoto, Rui Zhang, VA Million Veteran Program, Richard Sherva, Mark W Logue, Victoria C Merritt

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Francesca V LopezResearch & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Margaret GillisNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
Sophia LeeNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
McKenna S SakamotoResearch & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.
Rui ZhangNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
VA Million Veteran Program
Richard ShervaNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
Mark W LogueNational Center for PTSD, Behavioral Sciences Division, VA Boston Healthcare System, Boston, MA, USA.
Victoria C MerrittResearch & Psychology Services, VA San Diego Healthcare System (VASDHS), San Diego, CA, USA.

Funding

MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
BLRD VA I01 BX004192BLRD VA I01 BX005749BLRD VA I01 BX006350CSRD VA IK2 CX001952NIA NIH HHS U24 AG074855
6 · The paper itself

Abstract

Background: Electronic health record (EHR)-linked biorepositories provide opportunities to advance epidemiological research in Alzheimer's disease (AD) and related dementias. Objective: Evaluate the extraction, curation, and associative validity of Mini Mental State Examination (MMSE) scores from the VA EHR for participants in the VA Million Veteran Program (MVP). Methods: The sample (N = 49,555; 7.4% women) included a multiethnic cohort (European [68.3%], African [20.4%], Hispanic [9.0%]) with EHR-extracted MMSE scores; 30.7% were apolipoprotein E ( Results: Among participants of European ancestry, there was a significant e4 dose-response relationship ( Conclusion: This study demonstrated MMSE scores can be systematically extracted and curated from the VA EHR. Findings offer a scalable framework for future studies on risk stratification, highlighting the potential for harnessing MVP to explore genetic and clinical factors contributing to cognitive and dementia outcomes in diverse samples.

Indexed as

Alzheimer’s diseaseAPOEcognitive agingdata sciencedementiaMMSE

Identifiers

PMID42528566
PMCPMC13409221

What OpenQuestion holds

Textmetadata
LicenceCC0
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.