Evidence map›Paper›PMID 38230712›Full record

Observational studyThe journal of prevention of Alzheimer's disease2024

Detection Rates of Mild Cognitive Impairment in Primary Care for the United States Medicare Population.

Y Liu, H Jun, A Becker, C Wallick, S Mattke

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
15.8field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Identification of prevalent dementia in Medicare Advantage encounters, compared with rigorous cohort assessments.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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  11. Bridging the diagnostic gap: Expanding dementia care navigation for timely diagnosis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  17. Brain health care accelerator: A primary care-centered model for scaling dementia diagnosis and care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  20. Article

8 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Y LiuYing Liu, PhD, Center for Economic and Social Research, University of Southern California, 635 Downey Way, Los Angeles, CA 90089, USA, liu.ying@usc.edu.
H Jun
A Becker
C Wallick
S Mattke
University of Southern California · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting evidence points to substantial gaps in detecting mild cognitive impairment in primary care but is based on limited or self-reported data. The recent emergence of disease-modifying treatments for the Alzheimer's disease, the most common etiology of mild cognitive impairment, calls for a systematic assessment of detection rates in primary care.

objectivesThe current study aims to examine detection rates for mild cognitive impairment among primary care clinicians and practices in the United States using Medicare claims and encounter data.

designObservational study.

settingMedicare administrative data.

participantsThe study sample includes a total of 226,756 primary care clinicians and 54,597 practices that had at least 25 patients aged 65 or older, who were enrolled in Medicare fee-for-service or a Medicare Advantage plan between 2017 and 2019. MEASUREMENTS: The detection rate for mild cognitive impairment is assessed as the ratio between the observed diagnosis rate of a clinician or practice as documented in the data, and the expected rate based on a predictive model.

resultsThe average detection rates for mild cognitive impairment is 0.08 (interquartile range=0.00-0.02) for both clinicians and practices, suggesting that only about 8% of expected cases were diagnosed on average. Only 0.1% of clinicians and practices had diagnosis rates within the expected range.

conclusionsMild cognitive impairment is vastly underdiagnosed, pointing to an urgent need to improve early detection in primary care.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedHumansMedicarePrimary Health CareUnited StatesAlzheimer’s diseasedementiadetectionmild cognitive impairment

Identifiers

PMID38230712
PMCPMC10995024
OpenAlexW4387960558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.