Evidence map›Paper›PMID 31830545›Full record

ReviewJournal of neuroscience methods2020

A non-invasive hidden-goal test for spatial orientation deficit detection in subjects with suspected mild cognitive impairment.

Danira Bažadona, Ivan Fabek, Mirjana Babić Leko, Mihaela Bobić Rasonja, Dubravka Kalinić, Ervina Bilić, Jakov Domagoj Raguž, Ninoslav Mimica, Fran Borovečki, Patrick R Hof and 1 more

Abstract readReview
In one paragraph

Review in Journal of neuroscience methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Artificial intelligence for dementia-Applied models and digital health.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Review
  4. Article
  5. 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

11 authors.

Danira BažadonaCroatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia.
Ivan FabekCroatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia.
Mirjana Babić LekoCroatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia.
Mihaela Bobić RasonjaCroatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia.
Dubravka KalinićPsychiatric Hospital Vrapče, University of Zagreb Medical School, Zagreb, Croatia.
Ervina BilićDepartment of Neurology, University Hospital Centre Zagreb, Zagreb, Croatia.
Jakov Domagoj RagužInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Bethlem Royal Hospital, South London and Maudsley NHS Foundation Trust, London, UK.
Ninoslav MimicaPsychiatric Hospital Vrapče, University of Zagreb Medical School, Zagreb, Croatia.
Fran BorovečkiDepartment of Neurology, University Hospital Centre Zagreb, Zagreb, Croatia.
Patrick R HofNash Family Department of Neuroscience, Friedman Brain Institute, and Ronald M. Loeb Center for Alzheimer's Disease, Icahn School of Medicine at Mount Sinai, New York, USA.
Goran ŠimićCroatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia. Electronic address: gsimic@hiim.hr.

Funding

VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Carolyn Wei Zhu · 2020 to 2026
$31.0M
NIA NIH HHS P30 AG066514NIA NIH HHS P50 AG005138
6 · The paper itself

Abstract

backgroundThere is a need for highly sensitive and specific tests and biomarkers that would allow preclinical diagnosis of mild cognitive impairment (MCI) and Alzheimer's disease (AD), which would also enable timely intervention. NEW

methodWe have developed a new system (ALZENTIA) to help detect early MCI, mainly caused by AD. The system is based on a hidden-goal task (HGT) in which the human subject has to find a target that is not visible; as such, the navigation is based on a previously memorized target position, in relation to the starting position (egocentric variant) and/or other navigational landmarks (allocentric variant of the task). We present our preliminary results obtained in 33 patients with MCI and 91 healthy controls (HC). RESULTS AND COMPARISON WITH EXISTING

methodsBetween-group differences in the average error measured in allocentric, egocentric, and combined allocentric-egocentric subtests were statistically significant in MCI compared to HC. The high negative predictive values suggested high discriminative capacity and diagnostic potential for the HGT test as a tool to detect subjects in healthy population who will progress to MCI. Considering the low sensitivity of the Mini-Mental Status Examination and Montreal Cognitive Assessment tests, we believe that HGT can improve early identification of MCI patients who will progress to AD.

conclusionThe HGT carried out with the ALZENTIA system proved to be a reliable screening test to identify individuals with MCI from an aging cohort.

Indexed as

Alzheimer DiseaseCognitive DysfunctionGoalsHumansNeuropsychological TestsOrientation, SpatialSpace PerceptionAlzheimer’s diseaseEarly diagnosisHidden-goal taskMild cognitive impairmentScreening testSpatial orientation

Identifiers

PMID31830545
PMCPMC6990141

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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.