Evidence map›Paper›PMID 28054131›Full record

ArticleJournal of neurology2017

Global and regional annual brain volume loss rates in physiological aging.

Sven Schippling, Ann-Christin Ostwaldt, Per Suppa, Lothar Spies, Praveena Manogaran, Carola Gocke, Hans-Jürgen Huppertz, Roland Opfer

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 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.

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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Longitudinal magnetic resonance imaging in progressive supranuclear palsy: A new combined score for clinical trials.Movement disorders : official journal of the Movement Disorder Society · 2017
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  20. Brain volume, energy balance, and cardiovascular health in two nonindustrial South American populations.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

8 authors.

Sven SchipplingNeuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland. sven.schippling@usz.ch.
Ann-Christin Ostwaldtjung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
Per Suppajung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
Lothar Spiesjung diagnostics GmbH, Martinistrasse 52, 20251, Hamburg, Germany.
Praveena ManogaranNeuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.
Carola GockeMedical Prevention Center Hamburg (MPCH), Falkenried 88, 20251, Hamburg, Germany.
Hans-Jürgen HuppertzSwiss Epilepsy Centre, Bleulerstrasse 60, 8008, Zurich, Switzerland.
Roland OpferNeuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital Zurich and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9911-5478

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective is to estimate average global and regional percentage brain volume loss per year (BVL/year) of the physiologically ageing brain. Two independent, cross-sectional single scanner cohorts of healthy subjects were included. The first cohort (n = 248) was acquired at the Medical Prevention Center (MPCH) in Hamburg, Germany. The second cohort (n = 316) was taken from the Open Access Series of Imaging Studies (OASIS). Brain parenchyma (BP), grey matter (GM), white matter (WM), corpus callosum (CC), and thalamus volumes were calculated. A non-parametric technique was applied to fit the resulting age-volume data. For each age, the BVL/year was derived from the age-volume curves. The resulting BVL/year curves were compared between the two cohorts. For the MPCH cohort, the BVL/year curve of the BP was an increasing function starting from 0.20% at the age of 35 years increasing to 0.52% at 70 years (corresponding values for GM ranged from 0.32 to 0.55%, WM from 0.02 to 0.47%, CC from 0.07 to 0.48%, and thalamus from 0.25 to 0.54%). Mean absolute difference between BVL/year trajectories across the age range of 35-70 years was 0.02% for BP, 0.04% for GM, 0.04% for WM, 0.11% for CC, and 0.02% for the thalamus. Physiological BVL/year rates were remarkably consistent between the two cohorts and independent from the scanner applied. Average BVL/year was clearly age and compartment dependent. These results need to be taken into account when defining cut-off values for pathological annual brain volume loss in disease models, such as multiple sclerosis.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingAtrophyBrainCohort StudiesCross-Sectional StudiesFemaleGermanyGray MatterHumansMaleMiddle AgedOrgan SizeBrain atrophyBrain volumetryGrey matterMagnetic resonance imagingMultiple sclerosisPhysiological agingThalamusWhite matter

Identifiers

What OpenQuestion holds

Textmetadata
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.