Evidence map›Paper›PMID 36186726›Full record

ArticleJournal of Alzheimer's disease reports2022

Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques.

Stephanie Franczak, Jessica Pommy, Greta Minor, Chandler Zolliecoffer, Manav Bhalla, Mohit Agarwal, Andrew Nencka, Yang Wang, Andrew Klein, Darren O'Neill and 2 more

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Stephanie FranczakDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Jessica PommyDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Greta MinorDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Chandler ZolliecofferDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Manav BhallaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Mohit AgarwalDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Andrew NenckaDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Yang WangDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Andrew KleinDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Darren O'NeillDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Jude HenryDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Glass UmfleetDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are now clinically available automated MRI analysis software programs that compare brain volumes of patients to a normative sample and provide Objective: To address this gap in the literature, we examined Neuroreader Methods: lvPPA or aMCI patients who underwent MRI with Neuroreader Results: Cohen's Kappa coefficients were significant in 10 of the 28 computations ( Conclusion: Overall, our results indicated moderate to low interrater reliability, and raters never agreed that left asymmetry was present. While lower

Indexed as

Logopenic variant PPAmagnetic resonance imagingmild cognitive impairmentneuroreader

Identifiers

PMID36186726
PMCPMC9484148

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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.