Evidence map›Paper›PMID 27239530›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2015

Five-year biomarker progression variability for Alzheimer's disease dementia prediction: Can a complex instrumental activities of daily living marker fill in the gaps?

Ioannis Tarnanas, Anthoula Tsolaki, Mark Wiederhold, Brenda Wiederhold, Magda Tsolaki

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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.

NCT02843529 nacompletednot on this mapstarted 2016, after this paper: background citation

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
NCT05153941 active not recruitingnot on this mapstarted 2022, after this paper: background citation

DNS Cohort Study Aimed at Understanding the Pathophysiology of AD and AD Related Disorders (ADRD)

TypeobservationalSponsorAltoidaRan2022 to 2030Enrolled3,500ConditionsAlzheimer's Disease, Mild Cognitive Impairment
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  18. Subtle mistakes in self-report surveys predict future transition to dementia.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021
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  19. Article
  20. Digital biomarker-based individualized prognosis for people at risk of dementia.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020
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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

5 authors at 4 institutions in 4 countries.

Ioannis TarnanasHealth-IS Lab, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland; Piaget Research Foundation, Nürnberg, Germany.
Anthoula Tsolaki3rd Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Mark WiederholdDivision of Cognitive and Restorative Neurology, Virtual Reality Medical Center, San Diego, CA, USA.
Brenda WiederholdVirtual Reality Medical Institute, Clos Chapelle aux Champs, Brussels, Belgium.
Magda Tsolaki3rd Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GRETH Zurich · CHVirtual Reality Medical Center · USVirtual Reality Medical Institute · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBiomarker progressions explain higher variability in cognitive decline than baseline values alone. This study examines progressions of established biomarkers along with a novel marker in a longitudinal cognitive decline.

methodsA total of 215 subjects were used with a diagnosis of normal, mild cognitive impairment (MCI) or Alzheimer's disease (AD) at baseline. We calculated standardized biomarker progression rates and used them as predictors of outcome within 5 years.

resultsEarly cognitive declines were more strongly explained by fluorodeoxyglucose-positron emission tomography, precuneus and medial temporal cortical thickness, and the complex instrumental activities of daily living (iADL) marker progressions. Using Cox proportional hazards model, we found that these progressions were a significant risk factor for conversion from both MCI to AD (adjusted hazard ratio 1.45; 95% confidence interval 1.20-1.93; P = 1.23 × 10(-5)) and cognitively normal to MCI (adjusted hazard ratio 1.76; 95% confidence interval 1.32-2.34; P = 1.55 × 10(-5)). DISCUSSION: Compared with standard biological biomarkers, complex functional iADL markers could also provide predictive information for cognitive decline during the presymptomatic stage. This has important implications for clinical trials focusing on prevention in asymptomatic individuals.

Indexed as

Alzheimer's diseaseBiomarkerBiomarker progressionsCognitive declinesComputerized cognitive assessmentDiagnosticsEarly detectionMCIMRIPETRate of progression

Identifiers

PMID27239530
PMCPMC4879487
OpenAlexW2205216748

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.