Evidence map›Paper›PMID 39049042›Full record

ArticleDiagnostic and prognostic research2024

Development of a prediction model of conversion to Alzheimer's disease in people with mild cognitive impairment: the statistical analysis plan of the INTERCEPTOR project.

Flavia L Lombardo, Patrizia Lorenzini, Flavia Mayer, Marco Massari, Paola Piscopo, Ilaria Bacigalupo, Antonio Ancidoni, Francesco Sciancalepore, Nicoletta Locuratolo, Giulia Remoli and 14 more

Registry-linked trialAbstract read
In one paragraph

Article in Diagnostic and prognostic research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03834402 (Interceptor Project), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

NCT03834402 completednot on this map

Interceptor Project: On Early Diagnosis Of The Prodromal Stage Of Alzheimer Disease. The Progression From Mild Cognitive Impairment (Mci) To Dementia: The Role Of Biomarkers In Early Interception Of Patients Candidate For Prescription Of Future Disease-Modifying Drugs

TypeobservationalSponsorCatholic University of the Sacred HeartRan2019 to 2023Enrolled500ConditionsMild Cognitive Impairment, Alzheimer Disease
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Mild cognitive impairment-to-Alzheimer's dementia progression risk: the contribution of the Interceptor project.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Review
  3. The value of machine learning models in differentiating alzheimer's disease from Moderate-to-Severe cerebral small vessel disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. 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

24 authors.

Flavia L LombardoNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy. flavia.lombardo@iss.it.ORCID http://orcid.org/0000-0001-6183-0735
Patrizia LorenziniNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
Flavia MayerNational Center for Drug Research and Evaluation, Italian National Institute of Health, Rome, Italy.
Marco MassariNational Center for Drug Research and Evaluation, Italian National Institute of Health, Rome, Italy.
Paola PiscopoDepartment of Neuroscience, Italian National Institute of Health, Rome, Italy.
Ilaria BacigalupoNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
Antonio AncidoniNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
Francesco SciancaleporeNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
Nicoletta LocuratoloNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
Giulia RemoliNeurology Department and Brain Health Service, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.
Simone SalemmeDepartment of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Stefano CappaUniversity Institute of Advanced Studies IUSS Pavia, Pavia, Italy.
Daniela PeraniVita-Salute San Raffaele University, Nuclear Medicine Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia Spadin"Associazione Italiana Malattia di Alzheimer" - AIMA, Milan, Italy.
Fabrizio TagliaviniFondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy.
Alberto RedolfiLaboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy.
Maria CotelliNeuropsychology Unit, IRCCS Istituto Centro San Giovanni Di Dio Fatebenefratelli, Brescia, Italy.
Camillo MarraDepartment of Neuroscience, Catholic University of Sacred Heart, Rome, Italy.
Naike CaragliaMemory Clinic, Foundation Policlinico Agostino Gemelli IRCCS, Rome, Italy.
Fabrizio VecchioBrain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
Francesca MiragliaBrain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele, Rome, Italy.
Paolo Maria RossiniMemory Clinic, Foundation Policlinico Agostino Gemelli IRCCS, Rome, Italy.
Nicola VanacoreNational Centre for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.
INTERCEPTOR Network

Funding

Agenzia Italiana del Farmaco, Ministero della Salute AIFA extraordinary funds for the institutional activity
6 · The paper itself

Abstract

backgroundIn recent years, significant efforts have been directed towards the research and development of disease-modifying therapies for dementia. These drugs focus on prodromal (mild cognitive impairment, MCI) and/or early stages of Alzheimer's disease (AD). Literature evidence indicates that a considerable proportion of individuals with MCI do not progress to dementia. Identifying individuals at higher risk of developing dementia is essential for appropriate management, including the prescription of new disease-modifying therapies expected to become available in clinical practice in the near future.

methodsThe ongoing INTERCEPTOR study is a multicenter, longitudinal, interventional, non-therapeutic cohort study designed to enroll 500 individuals with MCI aged 50-85 years. The primary aim is to identify a biomarker or a set of biomarkers able to accurately predict the conversion from MCI to AD dementia within 3 years of follow-up. The biomarkers investigated in this study are neuropsychological tests (mini-mental state examination (MMSE) and delayed free recall), brain glucose metabolism ([ DISCUSSION: This paper contains a detailed description of the statistical analysis plan to ensure the reproducibility and transparency of the analysis. The prognostic model developed in this study aims to identify the population with MCI at higher risk of developing AD dementia, potentially eligible for drug prescriptions. The nomogram could provide a valuable tool for clinicians for risk stratification and early treatment decisions.

trial registrationClinicalTrials.gov NCT03834402. Registered on February 8, 2019.

Indexed as

Alzheimer’s diseaseBiomarkerDementiaLongitudinal studyMild cognitive impairmentPrediction modelStatistical analysis plan

Identifiers

PMID39049042
PMCPMC11271065

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Registered trials

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.