Evidence map›Paper›PMID 32415550›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

CSF p-tau/Aβ

Roberto Santangelo, Federico Masserini, Federica Agosta, Arianna Sala, Silvia P Caminiti, Giordano Cecchetti, Francesca Caso, Vittorio Martinelli, Patrizia Pinto, Gabriella Passerini and 3 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Alzheimer's research & therapy · 2024
    Observational
  8. Article
  9. Review
  10. FDG-PET markers of heterogeneity and different risk of progression in amnestic MCI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. The China Alzheimer Report 2022.General psychiatry · 2022
    Review
  19. Review
  20. 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

13 authors at 3 institutions in 1 country.

Roberto SantangeloNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federico MasseriniNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federica AgostaVita-Salute San Raffaele University, Milan, Italy.
Arianna SalaVita-Salute San Raffaele University, Milan, Italy.
Silvia P CaminitiVita-Salute San Raffaele University, Milan, Italy.
Giordano CecchettiNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesca CasoNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Vittorio MartinelliNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia PintoDepartment of Neurology, Papa Giovanni XXIII Hospital, Bergamo, Italy.
Gabriella PasseriniDepartment of Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Daniela PeraniVita-Salute San Raffaele University, Milan, Italy.
Giuseppe MagnaniNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. filippi.massimo@hsr.it.ORCID 0000-0002-5485-0479
Vita-Salute San Raffaele University · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITOspedale Papa Giovanni XXIII · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca CTN01_00177_165430
6 · The paper itself

Abstract

purposeTo know whether mild cognitive impairment (MCI) patients will develop Alzheimer's disease (AD) dementia in very short time or remain stable is of crucial importance, also considering new experimental drugs usually tested within very short time frames. Here we combined cerebrospinal fluid (CSF) AD biomarkers and a neurodegeneration marker such as brain FDG-PET to define an objective algorithm, suitable not only to reliably detect MCI converters to AD dementia but also to predict timing of conversion.

methodsWe included 77 consecutive MCI patients with neurological/neuropsychological assessment, brain 18F-FDG-PET and CSF analysis available at diagnosis and a neuropsychological/neurological evaluation every 6 months for a medium- to a long-term follow-up (at least 2 and up to 8 years). Binomial logistic regression models and Kaplan-Meier survival analyses were performed to determine the best biomarker (or combination of biomarkers) in detecting MCI converters to AD dementia and then, among the converters, those who converted in short time frames.

resultsThirty-five out of 77 MCI patients (45%) converted to AD dementia, with an average conversion time since MCI diagnosis of 26.07 months. CSF p-tau/Aβ42 was the most accurate predictor of conversion from MCI to AD dementia (82.9% sensitivity; 90% specificity). CSF p-tau/Aβ42 and FDG-PET-positive MCIs converted to AD dementia significantly earlier than the CSF-positive-only MCIs (median conversion time, 17.1 vs 31.3 months).

conclusionsCSF p-tau/Aβ42 ratio and brain FDG-PET may predict both occurrence and timing of MCI conversion to full-blown AD dementia. MCI patients with both biomarkers suggestive for AD will likely develop an AD dementia shortly, thus representing the ideal target for any new experimental drug requiring short periods to be tested for.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersBrainDisease ProgressionFluorodeoxyglucose F18HumansPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersFluorodeoxyglucose F18Peptide Fragmentstau ProteinsAlzheimer’s diseaseBrain FDG-PETCerebrospinal fluid biomarkersMCI converters to ADMCI (mild cognitive impairment)

Identifiers

PMID32415550
OpenAlexW3025201789

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.