Evidence map›Paper›PMID 36807325›Full record

ReviewThe Medical journal of Australia2023

Young-onset dementia diagnosis, management and care: a narrative review.

Samantha M Loi, Monica Cations, Dennis Velakoulis

Abstract readReview
In one paragraph

Review in The Medical journal of Australia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Investigating Equivalence of In-Person and Telehealth-Based Neuropsychological Assessment Performance for Individuals Being Investigated for Younger Onset Dementia.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
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  9. Traumatic brain injury and risk of early-onset dementia: A population-based cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  15. Review
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  20. Real-world prediction of early-onset dementia by health record data: A multi-center machine learning study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Samantha M LoiUniversity of Melbourne, Melbourne, VIC.ORCID 0000-0002-4953-4500
Monica CationsFlinders University, Adelaide, SA.ORCID 0000-0002-9262-0463
Dennis VelakoulisUniversity of Melbourne, Melbourne, VIC.

Funding

Hospital Research Foundation 2019-33-25271National Health and Medical Research Council 1194084
6 · The paper itself

Abstract

Young-onset dementia comprises a heterogeneous range of dementias, with onset at less than 65 years of age. These include primary dementias such as Alzheimer disease, frontotemporal and vascular dementias; genetic/familial dementias; metabolic disorders; and secondary dementias such as those that result from alcohol use disorder, traumatic brain injury, and infections. The presentation of young-onset dementia is varied and may include cognitive, psychiatric and neurological symptoms. Diagnostic delay is common, with a frequent diagnostic conundrum being, "Is this young-onset dementia or is this psychiatric?". For assessment and accurate diagnosis, a thorough screen is recommended, such as collateral history and investigations such as neuroimaging, lumbar puncture, neuropsychology, and genetic testing. The management of young-onset dementia needs to be age-appropriate and multidisciplinary, with timely access to services and consideration of the family (including children).

Indexed as

AlcoholismAlzheimer DiseaseDementiaFrontotemporal DementiaChildDelayed DiagnosisHumansBiomarkersDementiaDiagnostic imagingNeuropsychiatry

Identifiers

PMID36807325
PMCPMC10952480

What OpenQuestion holds

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Registered trials

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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.