Evidence map›Paper›PMID 42022052›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Quantitative assessment of brain atrophy in bvFTD: Implications for diagnostic conversion.

Chloe Beydoun, Halle Quang, Sophie Matis, Jessica L Hazelton, James Carrick, Giorgio G Fumagalli, Olivier Piguet, Ramon Landin-Romero

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Chloe BeydounSydney Medical School, Faculty of Medicine and Health The University of Sydney Sydney New South Wales Australia.
Halle QuangBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.
Sophie MatisBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.
Jessica L HazeltonBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.
James CarrickBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.
Giorgio G FumagalliCenter for Mind/Brain Sciences-CIMeC University of Trento Trento Italy.
Olivier PiguetBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.
Ramon Landin-RomeroBrain & Mind Centre The University of Sydney Sydney New South Wales Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrain atrophy increases diagnostic confidence in behavioral variant frontotemporal dementia (bvFTD); however, standardized tools have not been systematically applied. This study evaluated visual rating scales (VRS) to quantify atrophy in a longitudinal bvFTD cohort with differing diagnostic certainties.

methodsNinety-three probable and 15 possible bvFTD patients were recruited. Five validated VRS were applied to magnetic resonance imaging scans by blinded raters. Receiver operating characteristic curves and logistic regression examined baseline differentiation and predictors of probable bvFTD. Longitudinal analyses and qualitative case review assessed VRS as predictors of diagnostic conversion.

resultsBilateral orbitofrontal and frontoinsular atrophy differentiated probable from possible bvFTD (areas under the curve > 0.7). Baseline left orbitofrontal VRS strongly predicted baseline probable bvFTD (odds ratio = 3.77, DISCUSSION: VRS enhance diagnostic certainty and may assist in monitoring bvFTD disease progression across clinical settings.

Indexed as

anterior cingulate cortexanterior temporal cortexdisease progressionfrontoinsularfrontotemporal dementiamedial temporal lobeorbitofrontal cortexvisual rating scales

Identifiers

PMID42022052
PMCPMC13095860

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.