Evidence map›Paper›PMID 33704477›Full record

ArticleJAMA network open2021

Diagnostic Utility of Measuring Cerebral Atrophy in the Behavioral Variant of Frontotemporal Dementia and Association With Clinical Deterioration.

Ignacio Illán-Gala, Neus Falgàs, Adit Friedberg, Sheila Castro-Suárez, Ophir Keret, Nicole Rogers, Didem Oz, Salvatore Nigro, Andrea Quattrone, Aldo Quattrone and 23 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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.

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  9. Frontotemporal lobar degeneration.Nature reviews. Disease primers · 2023
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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

33 authors at 4 institutions in 3 countries.

Ignacio Illán-GalaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Neus FalgàsAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Adit FriedbergAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Sheila Castro-SuárezAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Ophir KeretAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Nicole RogersAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Didem OzAtlantic Fellow for Equity in Brain Health, Department of Neurology, University of California, San Francisco.
Salvatore NigroNeuroscience Centre, Magna Graecia University, Catanzaro, Italy.
Andrea QuattroneDepartment of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.
Aldo QuattroneNeuroscience Centre, Magna Graecia University, Catanzaro, Italy.
Amy WolfMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Kyan YounesMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Miguel Santos-SantosSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Sergi Borrego-ÉcijaAlzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain.
Yann CobigoMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Oriol Dols-IcardoSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Albert LladóAlzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain.
Raquel Sánchez-ValleAlzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, Institut d'Investigació Biomèdica August Pi i Sunyer, University of Barcelona, Barcelona, Spain.
Jordi ClarimonSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Rafael BlesaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Daniel AlcoleaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Juan ForteaSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Alberto LleóSant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
Lea T GrinbergMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Salvatore SpinaMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Joel H KramerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Gil D RabinoviciMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Adam BoxerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Maria Luisa Gorno TempiniMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Bruce L MillerMemory and Aging Center, Department of Neurology, University of California, San Francisco.
William W SeeleyMemory and Aging Center, Department of Neurology, University of California, San Francisco.
Howard J RosenMemory and Aging Center, Department of Neurology, University of California, San Francisco.
David C PerryMemory and Aging Center, Department of Neurology, University of California, San Francisco.
University of California, San Francisco · USUniversitat Autònoma de Barcelona · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESMagna Graecia University · IT

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Diagnostic and prognostic certainty in behavioral variant frontotemporal dementiaR01AG062758 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2020 to 2025
$4.0M
Reward processing in genetic frontotemporal dementia and mood disordersR01AG059794 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2019 to 2023
$4.0M
PREDICT-ADFTD: Multimodal Imaging Prediction of AD/FTD and Differential DiagnosisR01AG055121 · NIA · OHIO STATE UNIVERSITY · PI ROSEN, HOWARD J, WANG, LEI · 2017 to 2020
$2.8M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
Neuropathological changes underlying clinical heterogeneity in Alzheimer diseaseK24AG053435 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ · 2016 to 2025
$1.8M
Neuropathological basis of brain network dysfunctionK08AG052648 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SPINA, SALVATORE · 2016 to 2020
$852k
NIA NIH HHS K08 AG052648NIA NIH HHS K24 AG045333NIA NIH HHS K24 AG053435NIA NIH HHS P01 AG019724NIA NIH HHS R01 AG055121NIA NIH HHS R01 AG059794NIA NIH HHS R01 AG062758
6 · The paper itself

Abstract

Importance: The presence of atrophy on magnetic resonance imaging can support the diagnosis of the behavioral variant of frontotemporal dementia (bvFTD), but reproducible measurements are lacking. Objective: To assess the diagnostic and prognostic utility of 6 visual atrophy scales (VAS) and the Magnetic Resonance Parkinsonism Index (MRPI). Design, Setting, and Participants: In this diagnostic/prognostic study, data from 235 patients with bvFTD and 225 age- and magnetic resonance imaging-matched control individuals from 3 centers were collected from December 1, 1998, to September 30, 2019. One hundred twenty-one participants with bvFTD had high confidence of frontotemporal lobar degeneration (FTLD) (bvFTD-HC), and 19 had low confidence of FTLD (bvFTD-LC). Blinded clinicians applied 6 previously validated VAS, and the MRPI was calculated with a fully automated approach. Cortical thickness and subcortical volumes were also measured for comparison. Data were analyzed from February 1 to June 30, 2020. Main Outcomes and Measures: The main outcomes of this study were bvFTD-HC or a neuropathological diagnosis of 4-repeat (4R) tauopathy and the clinical deterioration rate (assessed by longitudinal measurements of Clinical Dementia Rating Sum of Boxes). Measures of cerebral atrophy included VAS scores, the bvFTD atrophy score (sum of VAS scores in orbitofrontal, anterior cingulate, anterior temporal, medial temporal lobe, and frontal insula regions), the MRPI, and other computerized quantifications of cortical and subcortical volumes. The areas under the receiver operating characteristic curve (AUROC) were calculated for the differentiation of participants with bvFTD-HC and bvFTD-LC and controls. Linear mixed models were used to evaluate the ability of atrophy measures to estimate longitudinal clinical deterioration. Results: Of the 460 included participants, 296 (64.3%) were men, and the mean (SD) age was 62.6 (11.4) years. The accuracy of the bvFTD atrophy score for the differentiation of bvFTD-HC from controls (AUROC, 0.930; 95% CI, 0.903-0.957) and bvFTD-HC from bvFTD-LC (AUROC, 0.880; 95% CI, 0.787-0.972) was comparable to computerized measures (AUROC, 0.973 [95% CI, 0.954-0.993] and 0.898 [95% CI, 0.834-0.962], respectively). The MRPI was increased in patients with bvFTD and underlying 4R tauopathies compared with other FTLD subtypes (14.1 [2.0] vs 11.2 [2.6] points; P < .001). Higher bvFTD atrophy scores were associated with faster clinical deterioration in bvFTD (1.86-point change in Clinical Dementia Rating Sum of Boxes score per bvFTD atrophy score increase per year; 95% CI, 0.99-2.73; P < .001). Conclusions and Relevance: Based on these study findings, in bvFTD, VAS increased the diagnostic certainty of underlying FTLD, and the MRPI showed potential for the detection of participants with underlying 4R tauopathies. These widely available measures of atrophy can also be useful to estimate longitudinal clinical deterioration.

Indexed as

Clinical DeteriorationMagnetic Resonance ImagingAgedAtrophyBrainFemaleFrontotemporal DementiaHumansLongitudinal StudiesMaleMental DisordersMiddle AgedPrognosis

Identifiers

PMID33704477
PMCPMC7953307
OpenAlexW3134553210

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.