Evidence map›Paper›PMID 40257609›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Combination of amyloid and FDG PET for the prediction of short-term conversion from MCI to Alzheimer´s disease in the clinical practice.

Beatriz Echeveste, Elena Prieto, Edgar Fernando Guillén, Adolfo Jimenez, Genoveva Montoya, Rafael Villino, Mario Riverol, Javier Arbizu

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Beatriz EchevesteClínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España. becheveste@unav.es.ORCID 0000-0003-1469-0826
Elena PrietoClínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España.
Edgar Fernando GuillénClínica Universidad de Navarra, Madrid, España.
Adolfo JimenezClínica Universidad de Navarra, Madrid, España.
Genoveva MontoyaClínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España.
Rafael VillinoClínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España.
Mario Riverol *Clínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España.
Javier Arbizu *Clínica Universidad de Navarra, calle pio XII 36. Pamplona, Madrid, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAmnestic mild cognitive impairment (aMCI) is considered a precursor to Alzheimer's disease (AD). Since cerebral amyloid aggregation and neurodegeneration can be detected at an early stage, it can serve as a diagnostic aid. This study aimed to determine the predictive value of Amyloid-PET and FDG-PET in determining progression to AD among patients with aMCI.

methodsThis study recruited 145 patients with aMCI from October 2013 to March 2021. The patients were classified into four groups based on whether Amyloid-PET (A) and FDG-PET (N) were positive (+) or negative (-). The patients were then clinically followed to establish progression to dementia due to AD.

resultsAmyloid-PET demonstrated high sensitivity (100% in year 1, 94.67% in year 4) and a high negative predictive value (100% in year 1, 88.24% in year 4). FDG-PET exhibited a high negative predictive value initially (94.59% in year 1), and during follow-up, both specificity (85%) and positive predictive value (88%) increased. The conversion from aMCI to AD had a global mean time of 39.95 months. However, progression to AD was slower in amyloid-negative patients versus amyloid-positive patients (75.07 [CI 56.54-81] vs. 32.59 months [CI 20.56-40.74] months). Taking both tests together, the time to conversion was faster in A+/N + versus A+/N- patients (27.79 [CI 20.40-33.21] vs. 37.38 [CI 20.73-48.26] months).

conclusionsAmong patients with aMCI, those with a positive Amyloid-PET and an AD pattern on FDG-PET progressed to dementia significantly earlier versus those with a positive Amyloid-PET only. Using both biomarkers during the initial diagnosis enhances the prediction of short-term conversion. CLINICAL TRIAL NUMBER: Not applicable. It is not a clinical trial.

Indexed as

Alzheimer DiseaseAmyloidCognitive DysfunctionFluorodeoxyglucose F18Positron-Emission TomographyAgedAged, 80 and overDisease ProgressionFemaleHumansMaleMiddle AgedAmyloidFluorodeoxyglucose F18Alzheimer’s disease (AD)Amnestic mild cognitive impairment (aMCI)Amyloid-PETFDG-PETShort-term conversion

Identifiers

PMID40257609
PMCPMC12316835

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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.