Evidence map›Paper›PMID 37204754›Full record

ArticleAging clinical and experimental research2023

A community-based study of reporting demographic and clinical information concordance between informants and cognitively impaired participants.

Noreen Khan, Emily M Briceño, Roshanak Mehdipanah, Lisa Lewandowski-Romps, Steven G Heeringa, Nelda Garcia, Deborah A Levine, Kenneth M Langa, Lewis B Morgenstern

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging clinical and experimental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03403257 (Brain Attack Surveillance in Corpus Christi--Cognitive), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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.

NCT03403257 completednot on this map

Brain Attack Surveillance in Corpus Christi--Cognitive (BASIC-Cognitive)

TypeobservationalSponsorUniversity of MichiganRan2018 to 2026Enrolled634ConditionsDementia, Dementia Alzheimers, Dementia, Vascular, Dementia, MixedArmsNo interventions
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Noreen KhanDepartment of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, CVC 3194, Ann Arbor, MI, 48109-5855, USA.
Emily M BriceñoDepartment of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, CVC 3194, Ann Arbor, MI, 48109-5855, USA.
Roshanak MehdipanahSchool of Public Health, Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA.
Lisa Lewandowski-RompsUniversity of Michigan Institute for Social Research, Ann Arbor, MI, USA.
Steven G HeeringaUniversity of Michigan Institute for Social Research, Ann Arbor, MI, USA.
Nelda GarciaDepartment of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, CVC 3194, Ann Arbor, MI, 48109-5855, USA.
Deborah A LevineDepartment of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, CVC 3194, Ann Arbor, MI, 48109-5855, USA.
Kenneth M LangaUniversity of Michigan Institute for Social Research, Ann Arbor, MI, USA.
Lewis B MorgensternDepartment of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, CVC 3194, Ann Arbor, MI, 48109-5855, USA. lmorgens@umich.edu.ORCID http://orcid.org/0000-0002-5787-592X
University of Michigan · US

Funding

Cognitive impairment in Mexican Americans: a population-based studyR01NS100687 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORGENSTERN, LEWIS B · 2017 to 2021
$7.4M
Measurement of cognition and functional decline in Latinx older adults for detection of Alzheimer’s Disease and Related Dementias: A mixed-methods approachK23AG080035 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Emily Marie Briceno · 2023 to 2026
$767k
NIA NIH HHS K23 AG080035NINDS NIH HHS R01 NS100687
6 · The paper itself

Abstract

backgroundUnderstanding concordance between informants' and cognitively impaired participants' information reporting is crucial for Alzheimer's and Alzheimer's-related dementia studies.

methodsThe Brain Attack Surveillance in Corpus Christi-Cognitive is a community-based cohort study. Households in Nueces County, Texas, USA, were randomly identified. 330 dyads of participants and their named informants answered questions. Models were generated to examine which predictors, including age, gender, ethnicity, cognitive function, and relationship to informant, influenced answer discordance.

resultsFor demographic items, female participants and participants with spouses/partners as informants had significantly less discordance, with incidence rate rations (IRRs) of 0.65 (CI = 0.44, 0.96) and 0.41 (CI = 0.23, 0.75), respectively. For health items, better cognitive function of the participant was associated with less discordance, with an IRR of 0.85 (CI = 0.76, 0.94).

conclusionsDemographic information concordance is most associated with gender and informant-participant relationship. Level of cognitive function is most associated with concordance for health information. CLINICALTRIALS: gov identifier NCT03403257.

Indexed as

Alzheimer DiseaseCognitive DysfunctionCognitionCohort StudiesDemographyFemaleHumansAlzheimer’s diseaseAlzheimer’s-related dementia researchCaregivingCommunity-based researchDementia

Identifiers

PMID37204754
PMCPMC10330588
OpenAlexW4377094319

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Registered trials

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.