Evidence map›Paper›PMID 38355740›Full record

SynthesisEuropean journal of nuclear medicine and molecular imaging2024

Diagnostic performance of molecular imaging methods in predicting the progression from mild cognitive impairment to dementia: an updated systematic review.

Matteo Cotta Ramusino, Federico Massa, Cristina Festari, Federica Gandolfo, Valentina Nicolosi, Stefania Orini, Flavio Nobili, Giovanni B Frisoni, Silvia Morbelli, Valentina Garibotto and 1 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
7.3field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. [European journal of nuclear medicine and molecular imaging · 2026
    Trial
  4. Trial
  5. Review
  6. Review
  7. Longitudinal changes in [European journal of nuclear medicine and molecular imaging · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Contribution of alpha-synuclein pathology to cerebral glucose metabolism in patients with amnestic MCI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  15. The Association Between Brain Metabolic Biomarkers UsingJournal of Alzheimer's disease reports · 2024
    Article
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

11 authors at 5 institutions in 4 countries.

Matteo Cotta RamusinoUnit of Behavior Neurology and Dementia Research Center, IRCCS Mondino Foundation, via Mondino 2, 27100, Pavia, Italy. matteo.cottaramusino01@universitadipavia.it.ORCID 0000-0003-3090-9648
Federico MassaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Cristina FestariLaboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy.
Federica GandolfoDepartment of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Galliera Hospital, Genoa, Italy.
Valentina NicolosiUOC Neurologia Ospedale Magalini Di Villafranca Di Verona (VR) ULSS 9, Verona, Italy.
Stefania OriniAlzheimer's Unit-Memory Clinic, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy.
Flavio NobiliIRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Giovanni B FrisoniLaboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.
Silvia Morbelli *IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Valentina Garibotto *Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, University Hospitals of Geneva, Geneva, Switzerland.
European Inter-Societal Consensus on the Biomarker-Based Diagnosis of Dementia
Ospedale Policlinico San Martino · ITCentro San Giovanni di Dio Fatebenefratelli · ITUniversity of Geneva · CHEnte Ospedaliero Ospedali Galliera · ITFoundation Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpidemiological and logistical reasons are slowing the clinical validation of the molecular imaging biomarkers in the initial stages of neurocognitive disorders. We provide an updated systematic review of the recent advances (2017-2022), highlighting methodological shortcomings.

methodsStudies reporting the diagnostic accuracy values of the molecular imaging techniques (i.e., amyloid-, tau-, [18F]FDG-PETs, DaT-SPECT, and cardiac [123I]-MIBG scintigraphy) in predicting progression from mild cognitive impairment (MCI) to dementia were selected according to the Preferred Reporting Items for a Systematic Review and Meta-Analysis (PRISMA) method and evaluated with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Main eligibility criteria were as follows: (1) ≥ 50 subjects with MCI, (2) follow-up ≥ 3 years, (3) gold standard: progression to dementia or diagnosis on pathology, and (4) measures of prospective accuracy.

resultsSensitivity (SE) and specificity (SP) in predicting progression to dementia, mainly to Alzheimer's dementia were 43-100% and 63-94% for [

conclusionMolecular imaging has a moderate-to-good accuracy in predicting the progression of MCI to Alzheimer's dementia. Longitudinal studies are sparse in non-AD conditions, requiring additional efforts in these settings.

Indexed as

Cognitive DysfunctionDementiaDisease ProgressionHumansMolecular ImagingAmyloid-PETDaT-SPECTFDG-PETMIBG cardiac scintigraphyMild cognitive impairmentTau-PET

Identifiers

PMID38355740
OpenAlexW4391838016

What Socratic holds

Textmetadata
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 Socratic graph.