Evidence map›Paper›PMID 35309894›Full record

ArticleFrontiers in aging neuroscience2022

Low Subicular Volume as an Indicator of Dementia-Risk Susceptibility in Old Age.

Sonja M Kagerer, Clemens Schroeder, Jiri M G van Bergen, Simon J Schreiner, Rafael Meyer, Stefanie C Steininger, Laetitia Vionnet, Anton F Gietl, Valerie Treyer, Alfred Buck and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Association of precuneus Aβ burden with default mode network function.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

13 authors at 4 institutions in 1 country.

Sonja M KagererInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Clemens SchroederInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Jiri M G van BergenInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Simon J SchreinerInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Rafael MeyerInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Stefanie C SteiningerPsychogeriatric Medicine, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Laetitia VionnetInstitute for Biomedical Engineering, University of Zurich and ETH Zürich, Zurich, Switzerland.
Anton F GietlInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Valerie TreyerInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Alfred BuckDepartment of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Klaas P PruessmannInstitute for Biomedical Engineering, University of Zurich and ETH Zürich, Zurich, Switzerland.
Christoph HockInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
Paul G UnschuldInstitute for Regenerative Medicine, University of Zurich, Zurich, Switzerland.
University of Zurich · CHUniversity Hospital of Zurich · CHInstitute for Biomedical Engineering · CHLight Chain Bioscience (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hippocampal atrophy is an established Alzheimer's Disease (AD) biomarker. Volume loss in specific subregions as measurable with ultra-high field magnetic resonance imaging (MRI) may reflect earliest pathological alterations. Methods: Data from positron emission tomography (PET) for estimation of cortical amyloid β (Aβ) and high-resolution 7 Tesla T1 MRI for assessment of hippocampal subfield volumes were analyzed in 61 non-demented elderly individuals who were divided into risk-categories as defined by high levels of cortical Aβ and low performance in standardized episodic memory tasks. Results: High cortical Aβ and low episodic memory interactively predicted subicular volume [ Discussion: Our results suggest that low subicular volume is linked to established indicators of AD risk, such as increased cortical Aβ and low episodic memory. Our data support subicular volume as a marker of dementia-risk susceptibility in old-aged non-demented persons.

Indexed as

7 TeslaAlzheimer’s diseaseepisodic memoryhippocampus subfield segmentationironprodromal ADsubiculumultra-high field MRI

Identifiers

PMID35309894
PMCPMC8926841
OpenAlexW4214936320

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.