Evidence map›Paper›PMID 36582429›Full record

ArticleCommunications in nonlinear science & numerical simulation2023

Traveling wave speed and profile of a "go or grow" glioblastoma multiforme model.

Aisha Tursynkozha, Ardak Kashkynbayev, Bibinur Shupeyeva, Erica M Rutter, Yang Kuang

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

Article in Communications in nonlinear science & numerical simulation, 2023. 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
1.2field-weighted citation impact, top 23% 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, 9 citations in OpenAlex.

  1. Go-or-grow models in biology: a monster on a leash.Journal of mathematical biology · 2025
    Review
  2. Article
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

5 authors at 3 institutions in 2 countries.

Aisha TursynkozhaDepartment of Mathematics, Nazarbayev University, 010000 Astana, Kazakhstan.
Ardak KashkynbayevDepartment of Mathematics, Nazarbayev University, 010000 Astana, Kazakhstan.
Bibinur ShupeyevaDepartment of Mathematics, Nazarbayev University, 010000 Astana, Kazakhstan.
Erica M RutterDepartment of Applied Mathematics, University of California, Merced, 5200 North Lake Rd., Merced, CA, 95343, USA.
Yang KuangSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA.
Nazarbayev University · KZArizona State University · USUniversity of California, Merced · US

Funding

Predictive Modeling of Pattern Formation Driven by Synthetic Gene NetworksR01GM131405 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUANG, YANG · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM131405
6 · The paper itself

Abstract

Glioblastoma multiforme (GBM) is a fast-growing and deadly brain tumor due to its ability to aggressively invade the nearby brain tissue. A host of mathematical models in the form of reaction-diffusion equations have been formulated and studied in order to assist clinical assessment of GBM growth and its treatment prediction. To better understand the speed of GBM growth and form, we propose a two population reaction-diffusion GBM model based on the 'go or grow' hypothesis. Our model is validated by

Indexed as

glioblastomago or growpartial differential equationstraveling wave

Identifiers

PMID36582429
PMCPMC9794186
OpenAlexW4309631347

What OpenQuestion holds

Textmetadata
LicenceTDM
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.