Evidence map›Paper›PMID 23070466›Full record

ArticleJournal of neurology2013

Supporting evidence for using biomarkers in the diagnosis of MCI due to AD.

Samantha Galluzzi, Cristina Geroldi, Giovanni Amicucci, Luisella Bocchio-Chiavetto, Matteo Bonetti, Cristian Bonvicini, Maria Cotelli, Roberta Ghidoni, Barbara Paghera, Orazio Zanetti and 2 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Feasibility and acceptance of simultaneous amyloid PET/MRI.European journal of nuclear medicine and molecular imaging · 2016
    Article
  9. Article
  10. Article
  11. A Cochrane review on brain [¹⁸F]FDG PET in dementia: limitations and future perspectives.European journal of nuclear medicine and molecular imaging · 2015
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Neurological update: dementia.Journal of neurology · 2014
    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

12 authors at 4 institutions in 1 country.

Samantha GalluzziLaboratory of Epidemiology, Neuroimaging and Telemedicine (LENITEM), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, via Pilastroni 4, 25125 Brescia, Italy.
Cristina Geroldi
Giovanni Amicucci
Luisella Bocchio-Chiavetto
Matteo Bonetti
Cristian Bonvicini
Maria Cotelli
Roberta Ghidoni
Barbara Paghera
Orazio Zanetti
Giovanni B Frisoni
Translational Outpatient Memory Clinic Working Group
Istituti di Ricovero e Cura a Carattere Scientifico · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITCentro San Giovanni di Dio Fatebenefratelli · ITIstituto di Sessuologia Clinica · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to support the use of biomarkers in the diagnosis of mild cognitive impairment (MCI) due to Alzheimer's disease (AD) according to the revised NIA-AA diagnostic criteria. We compared clinical features and conversion to AD and other dementias among groups of MCI patients with different abnormal biomarker profiles. In this study, we enrolled 58 patients with MCI, and for each of them AD biomarkers (CSF Abeta42 and tau, temporoparietal hypometabolism on 18F-FDG PET, and hippocampal volume) were collected. Patients were divided into three groups: (i) no abnormal biomarker, (ii) AD biomarker pattern (including three subgroups of early = only abnormal Abeta42, intermediate = abnormal Abeta42 and FDG PET or tau, and late = abnormal Abeta42, FDG PET or tau, and HV), and (iii) any other biomarker combination. MCI patients with AD biomarker pattern had lower behavioural disturbances than patients with any other biomarker combination (p < 0.0005). This group also showed lower performance on verbal and non-verbal memory than the other two groups (p = 0.07 and p = 0.004, respectively). Within the three subgroups with AD biomarker patterns we observed a significant trend toward a higher rate of conversion to dementia (p for trend = 0.006). With regard to dementia conversion, 100 % of patients with an AD biomarker pattern developed AD, but none of the patients with no abnormal biomarker and 27 % of patients with any other biomarker combination (p = 0.002) did so. We also described some clinical cases representative for each of these three groups. The results of this study provide evidence in favour of the use of biomarkers for the diagnosis of MCI due to AD, in line with recently published research criteria.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesAnalysis of VarianceApolipoproteins EBiomarkersCognitive DysfunctionFemaleFluorodeoxyglucose F18Genetic TestingHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-42)Apolipoproteins EBiomarkersFluorodeoxyglucose F18Peptide Fragmentstau Proteins

Identifiers

PMID23070466
OpenAlexW2090817358

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.