Evidence map›Paper›PMID 32832589›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2020

Digital biomarker-based individualized prognosis for people at risk of dementia.

Maximilian Buegler, Robbert Harms, Mircea Balasa, Irene B Meier, Themis Exarchos, Laura Rai, Rory Boyle, Adria Tort, Maha Kozori, Eutuxia Lazarou and 11 more

3 registry-linked trialsAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
–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.

NCT02843529 nacompletednot on this map

Evaluation of a Computerized Complex Instrumental Activities of Daily Living Marker (NMI) as a Pre-Clinical or Pro-Dromal Alzheimers Diagnosis (Prognosis) for Optimum Outcomes

TypeinterventionalSponsorAltoidaRan2016 to 2020Enrolled548ConditionsAlzheimer Disease, Mild Cognitive Impairment, Memory Disorders, Cognitive ImpairmentArmsAltoida: neuropsychological, MRI, EEG and CSF biomarkers
NCT04701177 enrolling by invitationnot on this mapstarted 2021, after this paper: background citation

Precision Medicine Initiative Against Alzheimer's Disease (PMIAAD): Digitally-enhanced, Decentralized, Multi-omics, Observational Cohort

Typeobservational_patient_registrySponsorGreece 2021 CommitteeRan2021 to 2031Enrolled100,000ConditionsPresymptomatic Disease, Mild Cognitive Impairment, Memory Loss (Excluding Dementia), Cognitive ChangeArmsTeleph0s digital phenotyping platform
NCT06223438 completednot on this mapstarted 2024, after this paper: background citation

Detecting an MCI and Amyloid Digital Neuro Signature(DNS) Using Altoida's Multimodal Digital Biomarkers.

TypeobservationalSponsorAltoidaRan2024 to 2025Enrolled614ConditionsAlzheimer Disease, MCI
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

21 authors.

Maximilian BueglerAltoida Inc. Houston, Texas USA.
Robbert HarmsAltoida Inc. Houston, Texas USA.
Mircea BalasaGlobal Brain Health Institute San Francisco, California USA.
Irene B MeierAltoida Inc. Houston, Texas USA.
Themis ExarchosBioinformatics and Human Electrophysiology Laboratory Corfu Greece.
Laura RaiTrinity College Institute of Neuroscience College Green, Dublin Ireland.
Rory BoyleTrinity College Institute of Neuroscience College Green, Dublin Ireland.
Adria TortInstitut d'Investigació Biomèdica August Pi i Sunyer Carrer del Rosselló, Barcelona Spain.
Maha KozoriGreek Association for Alzheimer's Disease and Related Disorders, Thessaloniki Greece.
Eutuxia LazarouGreek Association for Alzheimer's Disease and Related Disorders, Thessaloniki Greece.
Michaela RampiniIRCCS - San Giovanni di Dio - Fatebenefratelli, Brescia Italy.
Carlo CavaliereIRCCS SDN, Napoli NA Italy.
Panagiotis VlamosBioinformatics and Human Electrophysiology Laboratory Corfu Greece.
Magda Tsolaki1st Department of Neurology AHEPA University Hospital, Thessaloniki Greece.
Claudio BabiloniDepartment of Physiology and Pharmacology University of Rome, Roma Italy.
Andrea Soricelli1st Department of Neurology AHEPA University Hospital, Thessaloniki Greece.
Giovanni FrisoniUniversity of Geneva, Geneva Switzerland.
Raquel Sanchez-ValleIDIBAPS Neurological Tissue Bank Hospital Clinic, Barcelona Spain.
Robert WhelanTrinity College Institute of Neuroscience College Green, Dublin Ireland.
Emilio Merlo-PichTakeda Pharmaceutical Company Ltd. Chuo City, Tokyo Japan.
Ioannis TarnanasAltoida Inc. Houston, Texas USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Research investigating treatments and interventions for cognitive decline fail due to difficulties in accurately recognizing behavioral signatures in the presymptomatic stages of the disease. For this validation study, we took our previously constructed digital biomarker-based prognostic models and focused on generalizability and robustness of the models. Method: We validated prognostic models characterizing subjects using digital biomarkers in a longitudinal, multi-site, 40-month prospective study collecting data in memory clinics, general practitioner offices, and home environments. Results: Our models were able to accurately discriminate between healthy subjects and individuals at risk to progress to dementia within 3 years. The model was also able to differentiate between people with or without amyloid neuropathology and classify fast and slow cognitive decliners with a very good diagnostic performance. Conclusion: Digital biomarker prognostic models can be a useful tool to assist large-scale population screening for the early detection of cognitive impairment and patient monitoring over time.

Indexed as

Altoida Neuro Motor IndexAlzheimer's diseaseartificial intelligenceaugmented realitycognitive agingdigital biomarkermachine learningrisk prediction

Identifiers

PMID32832589
PMCPMC7437401

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.