Evidence map›Paper›PMID 27722087›Full record

ArticleNeuroImage. Clinical2016

Left hemisphere structural connectivity abnormality in pediatric hydrocephalus patients following surgery.

Weihong Yuan, Artur Meller, Joshua S Shimony, Tiffany Nash, Blaise V Jones, Scott K Holland, Mekibib Altaye, Holly Barnard, Jannel Phillips, Stephanie Powell and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
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

14 authors at 5 institutions in 1 country.

Weihong YuanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Artur MellerDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Joshua S ShimonyMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, United States.
Tiffany NashDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Blaise V JonesDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Scott K HollandDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Mekibib AltayeDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Holly BarnardDivision of Developmental and Behavioral Pediatrics - Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Jannel PhillipsDivision of Developmental and Behavioral Pediatrics - Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Stephanie PowellDepartment of Neurology, Washington University School of Medicine, Saint Louis, MO, United States; Department of Psychology, St. Louis Children's Hospital, St. Louis, MO, United States.
Robert C McKinstryMallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, United States.
David D LimbrickDepartment of Neurological Surgery, Washington University School of Medicine, Saint Louis, MO, United States.
Akila RajagopalDepartment of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Francesco T ManganoDivision of Pediatric Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USMallinckrodt (United States) · USNeurological Surgery · USSt. Louis Children's Hospital · US

Funding

Washington University Intellectual and Developmental Disabilities Research Center-Administrative Down Syndrome SupplementU54HD087011 · NICHD · WASHINGTON UNIVERSITY · PI MOLEY, KELLE H · 2015 to 2019
$7.1M
Washington University Intellectual and Developmental Disabilities Research CenterP30HD062171 · NICHD · WASHINGTON UNIVERSITY · PI NEIL, JEFFREY J. · 2010 to 2014
$4.3M
Longitudinal DTI study in Children Treated for Congenital HydrocephalusR01NS066932 · NINDS · CINCINNATI CHILDRENS HOSP MED CTR · PI MANGANO, FRANCESCO, YUAN, WEIHONG · 2009 to 2012
$1.8M
CSF LEVELS OF L1CAM AND AMYLOID PRECURSOR PROTEIN IN POST-HEMORRHAGIC HYDROCEPHALK23NS075151 · NINDS · WASHINGTON UNIVERSITY · PI LIMBRICK, DAVID DELMAR · 2012 to 2016
$843k
NICHD NIH HHS P30 HD062171NICHD NIH HHS U54 HD087011NINDS NIH HHS K23 NS075151NINDS NIH HHS R01 NS066932
6 · The paper itself

Abstract

Neuroimaging research in surgically treated pediatric hydrocephalus patients remains challenging due to the artifact caused by programmable shunt. Our previous study has demonstrated significant alterations in the whole brain white matter structural connectivity based on diffusion tensor imaging (DTI) and graph theoretical analysis in children with hydrocephalus prior to surgery or in surgically treated children without programmable shunts. This study seeks to investigate the impact of brain injury on the topological features in the left hemisphere, contratelateral to the shunt placement, which will avoid the influence of shunt artifacts and makes further group comparisons feasible for children with programmable shunt valves. Three groups of children (34 in the control group, 12 in the 3-month post-surgery group, and 24 in the 12-month post-surgery group, age between 1 and 18 years) were included in the study. The structural connectivity data processing and analysis were performed based on DTI and graph theoretical analysis. Specific procedures were revised to include only left brain imaging data in normalization, parcellation, and fiber counting from DTI tractography. Our results showed that, when compared to controls, children with hydrocephalus in both the 3-month and 12-month post-surgery groups had significantly lower normalized clustering coefficient, lower small-worldness, and higher global efficiency (all

Indexed as

HydrocephalusAdolescentAftercareCerebrospinal Fluid ShuntsChildChild, PreschoolDiffusion Tensor ImagingFemaleHumansInfantMalePostoperative ComplicationsDiffusion tensor imagingDTI, diffusion tensor imagingGraph theoretical analysisLeft hemispherePediatric hydrocephalusROI, region of interestSmall-worldness

Identifiers

PMID27722087
PMCPMC5048110
OpenAlexW2514496815

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.