Evidence map›Paper›PMID 41473207›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Prevalence and predictors of diagnosed mild cognitive impairment among Medicare beneficiaries.

Elyse Couch, Munachimso Ugoh, Lauren Thomas, Emmanuelle Belanger

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). 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
–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

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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.

  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

4 authors.

Elyse CouchDepartment of Health Services, Policy and Practice Brown University School of Public Health Providence Rhode Island USA.ORCID https://orcid.org/0000-0003-4692-5837
Munachimso UgohDepartment of Health Services, Policy and Practice Brown University School of Public Health Providence Rhode Island USA.
Lauren ThomasDepartment of Health Services, Policy and Practice Brown University School of Public Health Providence Rhode Island USA.
Emmanuelle BelangerDepartment of Health Services, Policy and Practice Brown University School of Public Health Providence Rhode Island USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMild cognitive impairment (MCI) is a known risk factor for dementia and presents an opportunity for early engagement in preventative strategies, treatment, and advanced planning. However, little is known about MCI diagnosis rates among Medicare beneficiaries.

methodsUsing data from the 2014 to 2022 rounds of the National Health and Aging Trends Study (NHATS) linked with Medicare claims data, we identified the proportion of beneficiaries with symptoms of MCI, as defined by an NHATS algorithm, who received a diagnosis according to International Classification of Diseases codes. Univariate and multivariate logistic regressions were used to identify predictors of diagnosed MCI.

resultsOf beneficiaries identified by the NHATS algorithm, 10.6% had a recorded diagnosis of MCI. Odds of diagnosis were higher among women and beneficiaries with a bachelor's degree or higher, and lower among beneficiaries who attended doctor visits alone. DISCUSSION: Targeted initiatives are needed to increase MCI diagnosis rates, particularly in the era of novel diagnostic tests and therapies. Highlights: We linked National Health and Aging Trends Study data to Medicare claims to identify the prevalence of diagnosed mild cognitive impairment (MCI).We identified 10.6% of Medicare beneficiaries with symptoms of MCI who have a diagnosis.Women and people with a bachelor's degree were more likely to have an MCI diagnosis.People who visited the doctor alone were less likely to have an MCI diagnosis.

Indexed as

diagnosisearly diagnosisMedicaremild cognitive impairment

Identifiers

PMID41473207
PMCPMC12746468

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