Evidence map›Paper›PMID 33075766›Full record

ArticleNeuroepidemiology2020

Implications of the Use of Algorithmic Diagnoses or Medicare Claims to Ascertain Dementia.

Melinda C Power, Kan Z Gianattasio, Adam Ciarleglio

Open access · greenAbstract read
In one paragraph

Article in Neuroepidemiology, 2020. 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
4.3field-weighted citation impact, top 4% 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, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Performance of ICD-10 code-based dementia case definition in the Health and Retirement Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Article
  6. Detection of emergency department patients at risk of dementia through artificial intelligence.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Observational
  7. Pathways to Racial/Ethnic Inequalities in Dementia.Annual review of clinical psychology · 2025
    Review
  8. Evaluating linked ICD-10 Medicare claims data as a method of dementia case ascertainment in research settings.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Article
  10. Identification of Dementia in Medicare Claims Compared to Rigorous Clinical Assessments in African Americans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Validation of Claims Algorithms to Identify Alzheimer's Disease and Related Dementias.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  16. Identification of Dementia in Recent Medicare Claims Data, Compared With Rigorous Clinical Assessments.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  17. Article
  18. Article
  19. 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

3 authors at 2 institutions in 1 country.

Melinda C PowerDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA, power@gwu.edu.
Kan Z GianattasioDepartment of Epidemiology, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Adam CiarleglioDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
George Washington University · USMilken Institute · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Race/ethnic disparities and the incidence and over- or under-diagnosis of Alzheimer's disease and related dementia in the United StatesR03AG055485 · NIA · GEORGE WASHINGTON UNIVERSITY · PI POWER, MELINDA C · 2017 to 2018
$160k
NIA NIH HHS R03 AG055485NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

introductionFormal dementia ascertainment with research criteria is resource-intensive, prompting the growing use of alternative approaches. Our objective was to illustrate the potential bias and implications for study conclusions introduced through the use of alternate dementia ascertainment approaches.

methodsWe compared dementia prevalence and risk factor associations obtained using criterion-standard dementia diagnoses to those obtained using algorithmic or Medicare-based dementia ascertainment in participants of the baseline visit of the Aging, Demographics, and Memory Study (ADAMS), a Health and Retirement Study (HRS) sub-study.

resultsEstimates of dementia prevalence derived using algorithmic or Medicare-based ascertainment differ substantially from those obtained using criterion-standard ascertainment. Use of algorithmic or Medicare-based dementia ascertainment can, but does not always, lead to risk factor associations that substantially differ from those obtained using criterion-standard ascertainment. DISCUSSION/

conclusionsAbsolute estimates of dementia prevalence should rely on samples with formal dementia ascertainment. The use of multiple algorithms is recommended for risk factor studies when formal dementia ascertainment is not available.

Indexed as

AlgorithmsMedicareAgedDementiaFemaleHumansMalePrevalenceRisk FactorsUnited StatesAlgorithmsDementiaDiagnosisMedicareSensitivity and specificity

Identifiers

PMID33075766
PMCPMC7725984
OpenAlexW3093258625

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.