Evidence map›Paper›PMID 35396292›Full record

ArticleBMJ open2022

Connectomic profiling and Vagus nerve stimulation Outcomes Study (CONNECTiVOS): a prospective observational protocol to identify biomarkers of seizure response in children and youth.

Lauren Siegel, Han Yan, Nebras Warsi, Simeon Wong, Hrishikesh Suresh, Alexander G Weil, John Ragheb, Shelly Wang, Curtis Rozzelle, Gregory W Albert and 13 more

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

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Factors predicting the response to vagus nerve stimulation (VNS) in pediatric patients with drug- resistant epilepsy: a systematic review and meta-analysis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

23 authors at 15 institutions in 2 countries.

Lauren SiegelProgram in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Han YanDivision of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-0494-0214
Nebras WarsiDivision of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
Simeon WongProgram in Neuroscience and Mental Health, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada.
Hrishikesh SureshDivision of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
Alexander G WeilPediatric Neurosurgery, Department of Surgery, Sainte Justine Hospital, University of Montreal, Montreal, Quebec, Canada.
John RaghebDivision of Neurosurgery, Nicklaus Children's Hospital, Miami, Florida, USA.
Shelly WangDivision of Neurosurgery, Nicklaus Children's Hospital, Miami, Florida, USA.
Curtis RozzelleDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Gregory W AlbertDepartment of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Jeffrey RaskinDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Taylor AbelDepartment of Neurological Surgery, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jason HauptmanDepartment of Neurosurgery, Seattle Children's Hospital, Seattle, Washington, USA.
Dewi V SchraderDepartment of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
Robert BolloDepartment of Neurosurgery, University of Utah, Salt Lake City, Utah, USA.
Matthew D SmythDepartment of Neurosurgery, Washington University School of Medicine in St Louis, Milwaukee, Wisconsin, USA.
Sean M LewDepartment of Neurosurgery, Children's Hospital of Wisconsin, Milwaukee, Wisconsin, USA.
Melissa LoprestiDepartment of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.
Dominic J KizekDepartment of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0003-0188-7697
Howard L WeinerDepartment of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.
Aria FallahNeurosurgery, University of California Los Angeles, Los Angeles, California, USA.
Elysa WidjajaDepartment of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada.
George M IbrahimDivision of Neurosurgery, Hospital for Sick Children, Department of Neurosurgery, University of Toronto, Toronto, Ontario, Canada George.ibrahim@sickkids.ca.
University of Toronto · CABaylor College of Medicine · USHospital for Sick Children · CAMiami Children's Hospital · USCentre Hospitalier Universitaire Sainte-Justine · CAChildren's Hospital of Pittsburgh · USChildren's Hospital of Wisconsin · USNeurological Surgery · USSeattle Children's Hospital · USUniversity of Alabama at Birmingham · USUniversity of Arkansas for Medical Sciences · USUniversity of British Columbia · CAUniversity of California, Los Angeles · USUniversity of Utah · USWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVagus nerve stimulation (VNS) is a neuromodulation therapy that can reduce the seizure burden of children with medically intractable epilepsy. Despite the widespread use of VNS to treat epilepsy, there are currently no means to preoperatively identify patients who will benefit from treatment. The objective of the present study is to determine clinical and neural network-based correlates of treatment outcome to better identify candidates for VNS therapy. METHODS AND ANALYSIS: In this multi-institutional North American study, children undergoing VNS and their caregivers will be prospectively recruited. All patients will have documentation of clinical history, physical and neurological examination and video electroencephalography as part of the standard clinical workup for VNS. Neuroimaging data including resting-state functional MRI, diffusion-tensor imaging and magnetoencephalography will be collected before surgery. MR-based measures will also be repeated 12 months after implantation. Outcomes of VNS, including seizure control and health-related quality of life of both patient and primary caregiver, will be prospectively measured up to 2 years postoperatively. All data will be collected electronically using Research Electronic Data Capture. ETHICS AND DISSEMINATION: This study was approved by the Hospital for Sick Children Research Ethics Board (REB number 1000061744). All participants, or substitute decision-makers, will provide informed consent prior to be enrolled in the study. Institutional Research Ethics Board approval will be obtained from each additional participating site prior to inclusion. This study is funded through a Canadian Institutes of Health Research grant (PJT-159561) and an investigator-initiated funding grant from LivaNova USA (Houston, TX; FF01803B IIR).

Indexed as

ConnectomeVagus Nerve StimulationAdolescentBiomarkersCanadaChildHumansMulticenter Studies as TopicObservational Studies as TopicQuality of LifeRetrospective StudiesSeizuresTreatment OutcomeBiomarkersDevelopmental neurology & neurodisabilityEpilepsyPaediatric neurosurgery

Identifiers

PMID35396292
PMCPMC8995963
OpenAlexW4223437133

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.