Evidence map›Paper›PMID 34748258›Full record

ArticleHuman brain mapping2022

Structural connectome differences in pediatric mild traumatic brain and orthopedic injury.

Ashley L Ware, Keith Owen Yeates, Bryce Geeraert, Xiangyu Long, Miriam H Beauchamp, William Craig, Quynh Doan, Stephen B Freedman, Bradley G Goodyear, Roger Zemek and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Ashley L WareDepartment of Psychology, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-8390-4915
Keith Owen YeatesDepartment of Psychology, University of Calgary, Calgary, Alberta, Canada.
Bryce GeeraertDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.
Xiangyu LongDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.
Miriam H BeauchampDepartment of Psychology, University of Montreal & CHU Sainte-Justine Hospital Research Center, Montreal, Quebec, Canada.
William CraigUniversity of Alberta and Stollery Children's Hospital, Edmonton, Alberta, Canada.
Quynh DoanPediatric Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Stephen B FreedmanDepartment of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Bradley G GoodyearDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.
Roger ZemekDepartment of Pediatrics and Emergency Medicine, University of Ottawa, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
Catherine LebelDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-0344-4032
Pediatric Emergency Research Canada A-CAP Study Team
University of Calgary · CACentre Hospitalier Universitaire Sainte-Justine · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Ottawa · CA

Funding

CIHR FDN143304
6 · The paper itself

Abstract

Sophisticated network-based approaches such as structural connectomics may help to detect a biomarker of mild traumatic brain injury (mTBI) in children. This study compared the structural connectome of children with mTBI or mild orthopedic injury (OI) to that of typically developing (TD) children. Children aged 8-16.99 years with mTBI (n = 83) or OI (n = 37) were recruited from the emergency department and completed 3T diffusion MRI 2-20 days postinjury. TD children (n = 39) were recruited from the community and completed diffusion MRI. Graph theory metrics were calculated for the binarized average fractional anisotropy among 90 regions. Multivariable linear regression and linear mixed effects models were used to compare groups, with covariates age, hemisphere, and sex, correcting for multiple comparisons. The two injury groups did not differ on graph theory metrics, but both differed from TD children in global metrics (local network efficiency: TD > OI, mTBI, d = 0.49; clustering coefficient: TD < OI, mTBI, d = 0.49) and regional metrics for the fusiform gyrus (lower degree centrality and nodal efficiency: TD > OI, mTBI, d = 0.80 to 0.96; characteristic path length: TD < OI, mTBI, d = -0.75 to -0.90) and in the superior and middle orbital frontal gyrus, paracentral lobule, insula, and thalamus (clustering coefficient: TD > OI, mTBI, d = 0.66 to 0.68). Both mTBI and OI demonstrated reduced global and regional network efficiency and segregation as compared to TD children. Findings suggest a general effect of childhood injury that could reflect pre- and postinjury factors that can alter brain structure. An OI group provides a more conservative comparison group than TD children for structural neuroimaging research in pediatric mTBI.

Indexed as

Diffusion Tensor ImagingAdolescentBrainBrain ConcussionChildFemaleFractures, BoneHumansLongitudinal StudiesMaleNerve NetSprains and Strainsdiffusion MRIgraph theoryorthopedic injurypediatric mild traumatic brain injurystructural connectome

Identifiers

PMID34748258
PMCPMC8764485
OpenAlexW3214691841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.