Evidence map›Paper›PMID 34919686›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Validation of Claims Algorithms to Identify Alzheimer's Disease and Related Dementias.

Ellen P McCarthy, Chiang-Hua Chang, Nicholas Tilton, Mohammed U Kabeto, Kenneth M Langa, Julie P W Bynum

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06273917 (Deprescribing Potentially Inappropriate Medications in the Emergency Department for Persons Living With Dementia), which is not on this map. Cited by 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
9.6field-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.

NCT06273917 nacompletednot on this mapstarted 2024, after this paper: background citation

Deprescribing Potentially Inappropriate Medications in the Emergency Department for Persons Living With Dementia

TypeinterventionalSponsorNational Institute on Aging (NIA)Ran2024 to 2025Enrolled300ConditionsDementiaArmsPRIDE
3 · Its place in the literature

Who cites it

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Drug-Drug Interactions in Nursing Home Residents With vs Without Dementia.Journal of the American Medical Directors Association · 2026
    Observational
  5. Article
  6. 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
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Antidepressant Use Among US Nursing Home Residents With Dementia.Journal of the American Geriatrics Society · 2026
    Article
  15. Article
  16. Article
  17. Associations Between ACO Enrollment Status and Drug and Nondrug Costs Among Older Adults Newly Diagnosed With ADRD.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  18. Article
  19. Article
  20. Reduced risk of dementia with recombinant zoster vaccine in US adults age 65 or older.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article

48 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

6 authors at 2 institutions in 1 country.

Ellen P McCarthyHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
Chiang-Hua ChangDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Nicholas TiltonDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Mohammed U KabetoDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Kenneth M LangaDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Julie P W BynumDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
University of Michigan–Ann Arbor · USHarvard University · 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
Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI Alexia Mary Torke · 2019 to 2026
$125.9M
UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Leila S. Agha · 2001 to 2026
$52.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
NIH Health Care Systems Research Collaboratory-Coordinating Center (U24)U24AT009676 · NCCIH · DUKE UNIVERSITY · PI LESLEY H CURTIS, Adrian Hernandez · 2017 to 2026
$21.5M
Dementia Prevalence over Time: Proximate Causes and ConsequencesR01AG053972 · NIA · RAND CORPORATION · PI HURD, MICHAEL D · 2016 to 2021
$4.9M
NCCIH NIH HHS U24 AT009676NIA NIH HHS P01 AG019783NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG053972NIA NIH HHS U01 AG009740NIA NIH HHS U54 AG063546
6 · The paper itself

Abstract

backgroundUsing billing data generated through health care delivery to identify individuals with dementia has become important in research. To inform tradeoffs between approaches, we tested the validity of different Medicare claims-based algorithms.

methodsWe included 5 784 Medicare-enrolled, Health and Retirement Study participants aged older than 65 years in 2012 clinically assessed for cognitive status over multiple waves and determined performance characteristics of different claims-based algorithms.

resultsPositive predictive value (PPV) of claims ranged from 53.8% to 70.3% and was highest using a revised algorithm and 1 year of observation. The tradeoff of greater PPV was lower sensitivity; sensitivity could be maximized using 3 years of observation. All algorithms had low sensitivity (31.3%-56.8%) and high specificity (92.3%-98.0%). Algorithm test performance varied by participant characteristics, including age and race.

conclusionRevised algorithms for dementia diagnosis using Medicare administrative data have reasonable accuracy for research purposes, but investigators should be cognizant of the tradeoffs in accuracy among the approaches they consider.

Indexed as

Alzheimer DiseaseAgedAlgorithmsDatabases, FactualDelivery of Health CareHumansMedicarePredictive Value of TestsSensitivity and SpecificityUnited StatesAccuracyAlgorithmDementiaDiagnosisMedicare

Identifiers

PMID34919686
PMCPMC9159657
OpenAlexW4200232138

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.