Evidence map›Paper›PMID 28785843›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

18F-FDG PET diagnostic and prognostic patterns do not overlap in Alzheimer's disease (AD) patients at the mild cognitive impairment (MCI) stage.

Silvia Morbelli, Matteo Bauckneht, Dario Arnaldi, Agnese Picco, Matteo Pardini, Andrea Brugnolo, Ambra Buschiazzo, Marco Pagani, Nicola Girtler, Alberto Nieri and 4 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

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  6. Prognostic value of imaging-based ATN profiles in a memory clinic cohort.European journal of nuclear medicine and molecular imaging · 2023
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  7. Validation of the REM behaviour disorder phenoconversion-related pattern in an independent cohort.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
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  8. PET molecular imaging for pathophysiological visualization in Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2023
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  10. In vivo synaptic density relates to glucose metabolism at rest in healthy subjects, but is strongly modulated by regional differences.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
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  13. CSF p-tau/AβEuropean journal of nuclear medicine and molecular imaging · 2020
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  19. Amyloid and tau signatures of brain metabolic decline in preclinical Alzheimer's disease.European journal of nuclear medicine and molecular imaging · 2018
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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

14 authors at 5 institutions in 2 countries.

Silvia MorbelliNuclear Medicine Unit, IRCCS AOU San Martino, IST and Department of Health Sciences, University of Genoa, Largo R. Benzi 10, 16132, Genoa, Italy. silviadaniela.morbelli@hsanmartino.it.
Matteo BaucknehtNuclear Medicine Unit, IRCCS AOU San Martino, IST and Department of Health Sciences, University of Genoa, Largo R. Benzi 10, 16132, Genoa, Italy.
Dario ArnaldiClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
Agnese PiccoClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
Matteo PardiniClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
Andrea BrugnoloClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
Ambra BuschiazzoNuclear Medicine Unit, IRCCS AOU San Martino, IST and Department of Health Sciences, University of Genoa, Largo R. Benzi 10, 16132, Genoa, Italy.
Marco PaganiInstitute of Cognitive Sciences and Technologies, CNR, Rome, Italy.
Nicola GirtlerClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
Alberto NieriNuclear Medicine Unit, IRCCS AOU San Martino, IST and Department of Health Sciences, University of Genoa, Largo R. Benzi 10, 16132, Genoa, Italy.
Andrea ChincariniIstituto Nazionale di Fisica Nucleare, Sezione di Genova, Genoa, Italy.
Fabrizio De CarliInstitute of Bioimaging and Molecular Physiology, National Research Council, Genoa, Italy.
Gianmario SambucetiNuclear Medicine Unit, IRCCS AOU San Martino, IST and Department of Health Sciences, University of Genoa, Largo R. Benzi 10, 16132, Genoa, Italy.
Flavio NobiliClinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy.
University of Genoa · ITOspedale Policlinico San Martino · ITIstituto Nazionale di Fisica Nucleare, Sezione di Genova · ITKarolinska University Hospital · SENational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to identify the cortical regions where hypometabolism can predict the speed of conversion to dementia in mild cognitive impairment due to Alzheimer's disease (MCI-AD).

methodsWe selected from the clinical database of our tertiary center memory clinic, eighty-two consecutive MCI-AD that underwent 18F-fluorodeoxyglucose (FDG) PET at baseline during the first diagnostic work-up and were followed up at least until their clinical conversion to AD dementia. The whole group of MCI-AD was compared in SPM8 with a group of age-matched healthy controls (CTR) to verify the presence of AD diagnostic-pattern; then the correlation between conversion time and brain metabolism was assessed to identify the prognostic-pattern. Significance threshold was set at p < 0.05 False-Discovery-Rate (FDR) corrected at peak and at cluster level. Each MCI-AD was then compared with CTR by means of a SPM single-subject analysis and grouped according to presence of AD diagnostic-pattern and prognostic-pattern. Kaplan-Meier-analysis was used to evaluate if diagnostic- and/or prognostic-patterns can predict speed of conversion to dementia.

resultsDiagnostic-pattern corresponded to typical posterior hypometabolism (BA 7, 18, 19, 30, 31 and 40) and did not correlate with time to conversion, which was instead correlated with metabolic levels in right middle and inferior temporal gyri as well as in the fusiform gyrus (prognostic-pattern, BA 20, 21 and 38). At Kaplan-Meier analysis, patients with hypometabolism in the prognostic pattern converted to AD-dementia significantly earlier than patients not showing significant hypometabolism in the right middle and inferior temporal cortex (9 versus 19 months; Log rank p < 0.02, Breslow test: p < 0.003, Tarone-Ware test: p < 0.007).

conclusionThe present findings support the role of FDG PET as a robust progression biomarker even in a naturalist population of MCI-AD. However, not the AD-typical diagnostic-pattern in posterior regions but the middle and inferior temporal metabolism captures speed of conversion to dementia in MCI-AD since baseline. The highlighted prognostic pattern is a further, independent source of heterogeneity in MCI-AD and affects a primary-endpoint on interventional clinical trials (time of conversion to dementia).

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyAlzheimer DiseaseCase-Control StudiesCognitive DysfunctionFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisFluorodeoxyglucose F1818F–FDG PETAD-biomarkersAlzheimer’s diseaseMild cognitive impairment

Identifiers

PMID28785843
OpenAlexW2744619973

What Socratic 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 Socratic graph.