Evidence map›Paper›PMID 24744712›Full record

ArticleFrontiers in human neuroscience2014

Scale and pattern of atrophy in the chronic stages of moderate-severe TBI.

Robin E A Green, Brenda Colella, Jerome J Maller, Mark Bayley, Joanna Glazer, David J Mikulis

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

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  11. Serum NfL and GFAP as biomarkers of progressive neurodegeneration in TBI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

6 authors at 3 institutions in 2 countries.

Robin E A GreenCognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute Toronto, ON, Canada ; Department of Psychiatry, Faculty of Medicine, University of Toronto Toronto, ON, Canada.
Brenda ColellaCognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute Toronto, ON, Canada.
Jerome J MallerBrain Stimulation and Neuroimaging Laboratory, Monash Alfred Psychiatry Research Centre, Alfred Hospital Melbourne, VIC, Australia.
Mark BayleyCognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute Toronto, ON, Canada.
Joanna GlazerCognitive Neurorehabilitation Sciences Laboratory, Research Department, Toronto Rehabilitation Institute Toronto, ON, Canada.
David J MikulisfMRI Laboratory, Division of Applied and Interventional Research, Toronto Western Research Institute Toronto, ON, Canada ; Department of Medical Imaging, Faculty of Medicine, University of Toronto Toronto, ON, Canada.
Toronto Rehabilitation Institute · CAMonash Alfred Psychiatry Research centre · AUUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModerate-severe traumatic brain injury (TBI) is increasingly being understood as a progressive disorder, with growing evidence of reduced brain volume and white matter (WM) integrity as well as lesion expansion in the chronic phases of injury. The scale of these losses has yet to be investigated, and pattern of change across structures has received limited attention.

objectives(1) To measure the percentage of patients in our TBI sample showing atrophy from 5 to 20 months post-injury in the whole brain and in structures with known vulnerability to acute TBI, and (2) To examine relative vulnerability and patterns of volume loss across structures.

methodsFifty-six TBI patients [complicated mild to severe, with mean Glasgow Coma Scale (GCS) in severe range] underwent MRI at, on average, 5 and 20 months post-injury; 12 healthy controls underwent MRI twice, with a mean gap between scans of 25.4 months. Mean monthly percent volume change was computed for whole brain (ventricle-to-brain ratio; VBR), corpus callosum (CC), and right and left hippocampi (HPC).

results(1) Using a threshold of 2 z-scores below controls, 96% of patients showed atrophy across time points in at least one region; 75% showed atrophy in at least 3 of the 4 regions measured. (2) There were no significant differences in the proportion of patients who showed atrophy across structures. For those showing decline in VBR, there was a significant association with both the CC and the right HPC (P < 0.05 for both comparisons). There were also significant associations between those showing decline in (i) right and left HPC (P < 0.05); (ii) all combinations of genu, body and splenium of the CC (P < 0.05), and (iii) head and tail of the right HPC (P < 0.05 all sub-structure comparisons).

conclusionsAtrophy in chronic TBI is robust, and the CC, right HPC and left HPC appear equally vulnerable. Significant associations between the right and left HPC, and within substructures of the CC and right HPC, raise the possibility of common mechanisms for these regions, including transneuronal degeneration. Given the 96% incidence rate of atrophy, a genetic explanation is unlikely to explain all findings. Multiple and possibly synergistic mechanisms may explain findings. Atrophy has been associated with poorer functional outcomes, but recent findings suggest there is potential to offset this. A better, understanding of the underlying mechanisms could permit targeted therapy enabling better long-term outcomes.

Indexed as

atrophychronicdegenerationMRIprogressiontraumatic brain injury

Identifiers

PMID24744712
PMCPMC3978360
OpenAlexW2073893583

What OpenQuestion holds

Textmetadata
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.