Evidence map›Paper›PMID 29125488›Full record

ArticleJournal of Alzheimer's disease : JAD2018

Comparison between FCSRT and LASSI-L to Detect Early Stage Alzheimer's Disease.

Jordi A Matias-Guiu, María Nieves Cabrera-Martín, Rosie E Curiel, María Valles-Salgado, Teresa Rognoni, Teresa Moreno-Ramos, José Luis Carreras, David A Loewenstein, Jorge Matías-Guiu

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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  10. The False Recognition Test, a new tool for the assessment of false memories, with normative data from an Italian sample.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

9 authors.

Jordi A Matias-GuiuDepartment of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
María Nieves Cabrera-MartínDepartment of Nuclear Medicine, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
Rosie E CurielDepartment of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami and Center of Aging, Miami, FL, USA.
María Valles-SalgadoDepartment of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
Teresa RognoniDepartment of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
Teresa Moreno-RamosDepartment of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
José Luis CarrerasDepartment of Nuclear Medicine, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.
David A LoewensteinDepartment of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami and Center of Aging, Miami, FL, USA.
Jorge Matías-GuiuDepartment of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain.

Funding

Novel Detection of Early Cognitive and Functional Impairment in the ElderlyR01AG047649 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOEWENSTEIN, DAVID · 2015 to 2019
$2.7M
NIA NIH HHS R01 AG047649
6 · The paper itself

Abstract

backgroundThe Free and Cued Selective Reminding Test (FCSRT) is the most accurate test for the diagnosis of prodromal Alzheimer's disease (AD). Recently, a novel cognitive test, the Loewenstein-Acevedo Scale for Semantic Interference and Learning (LASSI-L), has been developed in order to provide an early diagnosis.

objectiveTo compare the diagnostic accuracy of the FCSRT and the LASSI-L for the diagnosis of AD in its preclinical and prodromal stages using 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) as a reference.

methodsFifty patients consulting for subjective memory complaints without functional impairment and at risk for AD were enrolled and evaluated using FCSRT, LASSI-L, and FDG-PET. Participants were evaluated using a comprehensive neurological and neuropsychological protocol and were assessed with the FCSRT and LASSI-L. FDG-PET was acquired concomitantly and used for classification of patients as AD or non-AD according to brain metabolism using both visual and semi-quantitative methods.

resultsLASSI-L scores allowed a better classification of patients as AD/non-AD in comparison to FCSRT. Logistic regression analysis showed delayed recall and failure to recovery from proactive semantic interference from LASSI-L as independent statistically significant predictors, obtaining an area under the curve of 0.894. This area under the curve provided a better discrimination than the best FCSRT score (total delayed recall, area under the curve 0.708, p = 0.029).

conclusionsThe LASSI-L, a cognitive stress test, was superior to FCSRT in the prediction of AD features on FDG-PET. This emphasizes the possibility to advance toward an earlier diagnosis of AD from a clinical perspective.

Indexed as

CuesNeuropsychological TestsSemanticsAgedAged, 80 and overAlzheimer DiseaseFemaleFluorodeoxyglucose F18HumansMaleMemory DisordersMental RecallMiddle AgedPositron-Emission TomographyPsychiatric Status Rating ScalesROC CurveFluorodeoxyglucose F18Alzheimer’s diseaseearly detectionmemorymild cognitive impairmentneuropsychological assessmentpositron emission tomography

Identifiers

PMID29125488
PMCPMC6320221

What OpenQuestion holds

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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.