Evidence map›Paper›PMID 36840724›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Evaluating memory testing to distinguish dementia severity among White, Black, and Spanish-speaking individuals in the Uniform Data Set (UDS).

Maria Loizos, Carolyn W Zhu, Jimmy Akrivos, Margaret Sewell, Clara Li, Judith Neugroschl, Jonah Melnick, Martin Ljekocevic, Jane Martin, Hillel Grossman and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. 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
0.7field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

13 authors at 4 institutions in 1 country.

Maria LoizosIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Carolyn W ZhuIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Jimmy AkrivosIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Margaret SewellIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Clara LiIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Judith NeugroschlIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Jonah MelnickBrandeis University, Waltham, Massachusetts, USA.
Martin LjekocevicFordham University, Bronx, New York, USA.
Jane MartinIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Hillel GrossmanIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Amy AloysiIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Corbett SchimmingIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Mary SanoIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · USJames J. Peters VA Medical Center · USBrandeis University · USFordham University · US

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Margaret Sewell · 2020 to 2026
$31.0M
Residing in the Community with Dementia at the End of Life: Understanding Hospice Use and Residential SettingP30AG028741 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALBERT L SIU · 2010 to 2026
$21.9M
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
Recruitment Accelerator for Diversity in Aging Research, Cognitive Loss and Dementia (RADAR-CLD)R24AG065163 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SANO, MARY · 2020 to 2022
$1.9M
NCATS NIH HHS UL1 TR004419NIA NIH HHS P30 AG028741NIA NIH HHS P30 AG066514NIA NIH HHS R24 AG065163NIA NIH HHS T32 AG066598NIH HHS T32AG066598
6 · The paper itself

Abstract

introductionLittle work has compared the effectiveness of using multiple types of memory tests alone or in combination to distinguish dementia severity in diverse research cohorts including Black individuals and Spanish speakers. Here we evaluate word list and paragraph recall tests to distinguish cognitively normal, mild cognitively impaired, and those with Alzheimer's disease in diverse cohorts.

methodsUsing Uniform Data Set (UDS) and site-specific supplemental data, logistic regression models and receiver operating characteristic-area under the curve were used to compare paragraph recall versus word list in differentiating among Clinical Dementia Rating (CDR) scale level.

resultsResults reveal high discriminability for all groups and no difference between either test in distinguishing between CDR levels. Combining tests improved discriminability for the whole group but did not for Black individuals or Spanish speakers. DISCUSSION: Our findings indicate that using multiple memory tests may not improve differentiation between cognitive impairment levels for diverse cohorts. The burden of added testing may be a barrier for maximizing inclusion of under-represented groups in research.

Indexed as

Alzheimer DiseaseCognitive DysfunctionHumansMental RecallMental Status and Dementia TestsNeuropsychological Testsdifferentiating Clinical Dementia Ratingethnic level differencesNational Alzheimer's Coordinating Center Uniform Data Setparagraph recalltesting language differencesword list

Identifiers

PMID36840724
PMCPMC10440216
OpenAlexW4321996941

What Socratic 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 Socratic graph.