Evidence map›Paper›PMID 41030243›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

A Bayesian analysis of diagnostic timelines across Alzheimer's disease, frontotemporal dementia, and other neurodegenerative conditions.

Ananthan Ambikairajah, David Foxe, Ann-Marie G de Lange, James Carrick, Sau Chi Cheung, Velandai K Srikanth, Yun Tae Hwang, Rebekah M Ahmed, James R Burrell, Olivier Piguet

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Ananthan AmbikairajahCentre for Ageing Research and Translation Faculty of Health University of Canberra Canberra Australian Capital Territory Australia.ORCID https://orcid.org/0000-0002-5808-8020
David FoxeSchool of Psychology The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0003-0299-3344
Ann-Marie G de LangeDepartment of Psychology University of Oslo Oslo Norway.ORCID https://orcid.org/0000-0002-5150-6656
James CarrickSchool of Psychology The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0003-1392-8919
Sau Chi CheungSchool of Psychology The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0001-5370-7219
Velandai K SrikanthNational Centre for Healthy Ageing Melbourne Victoria Australia.ORCID https://orcid.org/0000-0002-8442-8981
Yun Tae HwangBrain and Mind Centre The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0003-4036-3837
Rebekah M AhmedBrain and Mind Centre The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0001-6996-8317
James R BurrellBrain and Mind Centre The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0001-9638-2768
Olivier PiguetSchool of Psychology The University of Sydney Sydney New South Wales Australia.ORCID https://orcid.org/0000-0002-4305-7897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTimely diagnosis is crucial for managing neurodegenerative conditions. This study investigated whether time from symptom onset to diagnosis differs by clinical syndrome and sex.

methodsThis retrospective, cross-sectional study included 591 participants with Alzheimer's disease (AD), frontotemporal dementia (FTD) subtypes (behavioral variant FTD [bvFTD], semantic dementia [SD], and progressive non-fluent aphasia), logopenic progressive aphasia (LPA), and syndromes associated with movement disorders (corticobasal syndrome, FTD with motor neuron disease [FTD-MND], and progressive supranuclear palsy). Bayesian regression models were used to compute diagnostic timelines.

resultsCompared to AD (3.35 years; 95% credible interval [CrI]: 3.03-3.72), SD and bvFTD had additional delays of 9.7 (95% CrI: 1.96-20.64) and 14.82 months (95% CrI: 6.94-25.42), respectively, while FTD-MND was shorter by 11.62 months (95% CrI: -15.7 to -4.68). Men with bvFTD had 23.64 month longer delays than women (95% CrI: 10.35-44.33). DISCUSSION: Diagnostic delays may reflect syndrome-specific clinical features, diagnostic complexity, and sociocultural factors. Findings highlight the need for improved diagnostic pathways and pre-clinical biomarkers to facilitate earlier identification. Highlights: Bayesian analyses revealed that diagnostic delays differ by syndrome and sex.Alzheimer's disease (AD) was diagnosed on average 3.35 years after symptom onset.Diagnoses were delayed in semantic and behavioral variant frontotemporal dementia (bvFTD) compared to AD.Men with bvFTD had longer delays than women.Findings support need for improved diagnostic pathways and pre-clinical biomarkers.

Indexed as

Alzheimer's diseasediagnosisfrontotemporal dementianeurodegeneration

Identifiers

PMID41030243
PMCPMC12477622

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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.