Evidence map›Paper›PMID 34410177›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2022

Cognition and disease characteristics in adult onset versus late onset multiple sclerosis.

Rachel Butler Pagnotti, Le H Hua, Justin B Miller

Open access · greenAbstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Review
  12. The influence of menopause on multiple sclerosis.European journal of neurology · 2025
    Article
  13. Article
  14. Review
  15. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  16. The autoimmune tautology revisited.Journal of translational autoimmunity · 2023
    Article
  17. Review
  18. Review
  19. 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

3 authors at 1 institution in 1 country.

Rachel Butler PagnottiCleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.ORCID 0000-0002-7961-5037
Le H HuaCleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.ORCID 0000-0002-0535-3978
Justin B MillerCleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA.
Cleveland Clinic · US

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Project 3: Biomarkers for DS Clinical TrialsU19AG068054 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HEAD, ELIZABETH · 2020 to 2025
$103.7M
Renewal of Centers of Biomedical Research Excellence (COBRE) (Phase 2) CNTN - ResubmissionP20GM109025 · NIGMS · CLEVELAND CLINIC FOUNDATION · PI JESSICA KIRKLAND CALDWELL · 2015 to 2026
$22.8M
Towards Generating a Multimodal and Multivariate Classification Model from Imaging and Non-Imaging Measures for Accurate Diagnosis and Monitoring of Dementia in Parkinsons disease.R01NS117547 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MISHRA, VIRENDRA R · 2020 to 2024
$3.6M
NVEDARC Clinical CoreP20AG068053 · NIA · CLEVELAND CLINIC FOUNDATION · PI WINT, DYLAN · 2020 to 2022
$3.3M
UAB Alzheimer's Disease Research CenterP20AG068024 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ROBERSON, ERIK D · 2020 to 2022
$3.3M
NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS U19 AG068054NIA NIH HHS U24 AG021886NIGMS NIH HHS P20 GM109025NINDS NIH HHS R01 NS117547
6 · The paper itself

Abstract

backgroundCognitive impairment is common sequelae of multiple sclerosis (MS); however, relatively little is known about cognitive impairment in late-onset multiple sclerosis (LOMS).

objectiveTo investigate differences in disease characteristics and cognition in LOMS and adult-onset multiple sclerosis (AOMS) patients.

methodsArchival medical records and neuropsychological evaluations from an MS specialty center were reviewed. Differences in disease characteristics between 53 LOMS and 124 AOMS were compared using chi-square or analysis of variance (ANOVA). To investigate differences in cognitive functioning, age-adjusted standardized scores were compared via analysis of covariance (ANCOVA), using cardiac risk factors and disease duration as covariates.

resultsCompared to AOMS, LOMS patients had significantly more cardiac risk factors, shorter disease duration, and shorter time to diagnosis. LOMS patients had similar Expanded Disability Status Scale scores as AOMS patients. LOMS patients demonstrated significantly more impairment on tasks of visual learning and memory, and working memory than AOMS patients.

conclusionDespite a shorter disease duration, LOMS and AOMS patients had similar levels of physical impairment. However, even after accounting for differences in disease duration and cardiac risk, LOMS patients showed a greater burden of cognitive impairment than AOMS patients, suggesting MS diagnosed later in life may progress faster due to the interaction between MS neuropathology and aging.

Indexed as

Cognitive DysfunctionMultiple SclerosisAdultAge of OnsetCognitionDisease ProgressionHumansNeuropsychological Testsagingcognitive dysfunctionlate-onset multiple sclerosisLOMSMultiple sclerosisneuropsychologyworking memory

Identifiers

PMID34410177
PMCPMC9199429
OpenAlexW3194757397

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.