Evidence map›Paper›PMID 30508042›Full record

ArticleBrain : a journal of neurology2019

Longitudinal multimodal MRI as prognostic and diagnostic biomarker in presymptomatic familial frontotemporal dementia.

Lize C Jiskoot, Jessica L Panman, Lieke H Meeter, Elise G P Dopper, Laura Donker Kaat, Sanne Franzen, Emma L van der Ende, Rick van Minkelen, Serge A R B Rombouts, Janne M Papma and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 pooled it
7.8field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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  11. Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Lize C JiskootDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Jessica L PanmanDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Lieke H MeeterDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Elise G P DopperDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Laura Donker KaatDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Sanne FranzenDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Emma L van der EndeDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Rick van MinkelenDepartment of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands.
Serge A R B RomboutsDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Janne M PapmaDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
John C van SwietenDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing and validating sensitive biomarkers for the presymptomatic stage of familial frontotemporal dementia is an important step in early diagnosis and for the design of future therapeutic trials. In the longitudinal Frontotemporal Dementia Risk Cohort, presymptomatic mutation carriers and non-carriers from families with familial frontotemporal dementia due to microtubule-associated protein tau (MAPT) and progranulin (GRN) mutations underwent a clinical assessment and multimodal MRI at baseline, 2-, and 4-year follow-up. Of the cohort of 73 participants, eight mutation carriers (three GRN, five MAPT) developed clinical features of frontotemporal dementia ('converters'). Longitudinal whole-brain measures of white matter integrity (fractional anisotropy) and grey matter volume in these converters (n = 8) were compared with healthy mutation carriers ('non-converters'; n = 35) and non-carriers (n = 30) from the same families. We also assessed the prognostic performance of decline within white matter and grey matter regions of interest by means of receiver operating characteristic analyses followed by stepwise logistic regression. Longitudinal whole-brain analyses demonstrated lower fractional anisotropy values in extensive white matter regions (genu corpus callosum, forceps minor, uncinate fasciculus, and superior longitudinal fasciculus) and smaller grey matter volumes (prefrontal, temporal, cingulate, and insular cortex) over time in converters, present from 2 years before symptom onset. White matter integrity loss of the right uncinate fasciculus and genu corpus callosum provided significant classifiers between converters, non-converters, and non-carriers. Converters' within-individual disease trajectories showed a relatively gradual onset of clinical features in MAPT, whereas GRN mutations had more rapid changes around symptom onset. MAPT converters showed more decline in the uncinate fasciculus than GRN converters, and more decline in the genu corpus callosum in GRN than MAPT converters. Our study confirms the presence of spreading predominant frontotemporal pathology towards symptom onset and highlights the value of multimodal MRI as a prognostic biomarker in familial frontotemporal dementia.

Indexed as

EndophenotypesMultimodal ImagingAnisotropyBrainCase-Control StudiesDiffusion Tensor ImagingEarly DiagnosisFemaleFrontotemporal DementiaGray MatterHeterozygoteHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedGRN protein, humanMAPT protein, humanProgranulinstau Proteins

Identifiers

PMID30508042
PMCPMC6308313
OpenAlexW2904608802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.