Evidence map›Paper›PMID 38104510›Full record

ArticleMultiple sclerosis and related disorders2024

Risk of dementia in older veterans with multiple sclerosis.

Nathaniel H Fleming, Amber Bahorik, Feng Xia, Kristine Yaffe

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
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

4 authors at 2 institutions in 1 country.

Nathaniel H FlemingDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States. Electronic address: Nathaniel.fleming@ucsf.edu.
Amber BahorikSan Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States.
Feng XiaSan Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States.
Kristine YaffeDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA 94143, United States.
University of California, San Francisco · USSan Francisco VA Health Care System · US

Funding

Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
NIA NIH HHS R35 AG071916
6 · The paper itself

Abstract

backgroundWhile it is widely accepted that multiple sclerosis (MS) often causes cognitive dysfunction, it is thought that these cognitive symptoms rarely progress to dementia. However, this has not been thoroughly investigated. The objectives of this cohort study are to determine whether people with MS have an increased risk of dementia compared to the general population and to identify factors, such as geographic latitude, which may modify this association.

methodsWe studied data from a random sample of US veterans aged ≥ 55 years followed at Veterans Affairs Health Care Systems nationwide from 1999 to 2019. We identified all patients diagnosed with MS using ICD codes over a two-year baseline period. We then identified a comparison cohort of patients without MS matched 1:1 on sex, age, race, and first encounter date. We constructed Cox proportional hazards regression models to determine the association between MS and dementia while controlling for demographic factors and comorbidities, with additional models to examine subgroup effects. We used Fine-Gray subdistribution hazard models accounting for competing risk of death to evaluate the sensitivity of the findings.

resultsThe study included 4084 MS patients and a matched group of 4084 non-MS patients. Overall, patients had mean age 66, were 93.6% male, and 88.1% non-Hispanic White, with mean follow-up time 9.5 years (MS) and 10.8 years (non-MS). In unadjusted models, veterans with MS had greater risk of dementia compared to matched controls (cumulative incidence 16.7% vs 12.4%; Cox HR 1.58, 95% CI 1.41-1.78). The increased risk remained after adjustment for potential confounders (adjusted HR 1.56, 95% CI 1.39-1.76) and when considering death as a competing risk (Fine-Gray HR 1.36, 95% CI 1.21-1.53). The magnitude of the MS-dementia association increased with rising geographic latitude (North HR 1.86, 1.51-2.30; Central HR 1.61, 1.42-1.82; South HR 1.39, 1.18-1.64; interaction p = 0.04) and younger baseline age (interaction p<0.001).

conclusionsAmong older veterans with MS, risk of dementia diagnosis was higher compared to matched controls even after controlling for comorbidities. The risk difference was highest in northern regions and in younger patients. Clinicians caring for older MS patients should be aware of this risk and offer screening and treatment accordingly.

Indexed as

DementiaMultiple SclerosisVeteransAgedCohort StudiesComorbidityFemaleHumansMaleRisk FactorsAgedAgingCognitive dysfunctionDementiaEpidemiologyMultiple sclerosis

Identifiers

PMID38104510
PMCPMC11001267
OpenAlexW4389580494

What OpenQuestion holds

Textmetadata
LicenceTDM
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.