Evidence map›Paper›PMID 34235627›Full record

SynthesisNeuropsychology review2022

Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review.

Eric S Semmel, Tobiloba R Quadri, Tricia Z King

Erratum issuedAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Neuropsychology review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Graph Theory and Modeling of Network Topology in Clinical Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Eric S SemmelDepartment of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA 30303, United States.ORCID 0000-0001-6996-5335
Tobiloba R QuadriDepartment of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA 30303, United States.ORCID 0000-0002-7681-7864
Tricia Z KingDepartment of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA 30303, United States. tzking@gsu.edu.ORCID 0000-0003-1363-9914
Georgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graph theory is a branch of mathematics that allows for the characterization of complex networks, and has rapidly grown in popularity in network neuroscience in recent years. Researchers have begun to use graph theory to describe the brain networks of individuals with brain tumors to shed light on disrupted networks. This systematic review summarizes the current literature on graph theoretical analysis of magnetic resonance imaging data in the brain tumor population with particular attention paid to treatment effects and other clinical factors. Included papers were published through June 24

Indexed as

Brain MappingBrain NeoplasmsBrainHumansMagnetic Resonance ImagingNerve NetBrain tumorGraph theoryMagnetic resonance imagingNetwork neuroscienceNeuroimaging

Identifiers

PMID34235627
OpenAlexW3181031131

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.