Evidence map›Paper›PMID 41821750›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Pitfalls in estimating secular changes in incidence and prevalence of dementia from administrative datasets.

Leon Flicker, Patrick Fitzgerald, Osvaldo P Almeida, Kaarin J Anstey, Michael Waller, Michelle Trevenen, Annette J Dobson

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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

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

7 authors.

Leon FlickerWestern Australian Centre for Health and Ageing, Medical School University of Western Australia Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-3650-0475
Patrick FitzgeraldWestern Australian Centre for Health and Ageing, Medical School University of Western Australia Perth Western Australia Australia.
Osvaldo P AlmeidaInstitute for Health Research University of Notre Dame Fremantle Western Australia Australia.ORCID https://orcid.org/0000-0002-8689-6199
Kaarin J AnsteyUniversity of New South Wales UNSW Ageing Futures Institute Sydney New South Wales Australia.ORCID https://orcid.org/0000-0002-9706-9316
Michael WallerSchool of Public Health Faculty of Health Medicine and Behavioural Sciences University of Queensland Brisbane Queensland Australia.ORCID https://orcid.org/0000-0002-1050-4574
Michelle TrevenenWestern Australian Centre for Health and Ageing, Medical School University of Western Australia Perth Western Australia Australia.ORCID https://orcid.org/0000-0002-0614-8319
Annette J DobsonSchool of Public Health Faculty of Health Medicine and Behavioural Sciences University of Queensland Brisbane Queensland Australia.ORCID https://orcid.org/0000-0003-4956-0124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdministrative datasets can be used to calculate population incidence and prevalence of dementia. It is unclear how changes in data sources may affect these estimates.

methodsWe obtained linked administrative health data for individuals 60 years of age or older in Western Australia for 1989-2019 (

resultsThere was a marked increase in prevalence and incidence estimates over time. There appeared to be two phases: an initial increase attenuated by 1995-1999 and a rapid increase since 2000-2004 corresponding to inclusion of aged care assessments. There was a decrease in 2015-2019 coinciding with the unavailability of aged care assessment data. DISCUSSION: An apparent secular change in rates of dementia over 31 years may be a product of increased propensity to record dementia diagnosis and availability of additional aged care data. Consistent comprehensive data coverage is required.

Indexed as

Alzheimer's diseasedata linkagedementiaincidenceprevalencesecular changes

Identifiers

PMID41821750
PMCPMC12976968

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