Evidence map›Paper›PMID 12955460›Full record

ArticleJournal of mathematical biology2003

A delay differential equation model for tumor growth.

Minaya Villasana, Ami Radunskaya

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 284 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Existence of Periodic Solutions for Second-Order Delay Differential Systems.Journal of dynamics and differential equations · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Global Dynamics of a Breast Cancer Competition Model.Differential equations and dynamical systems · 2020
    Article
  11. Article
  12. Mathematical Modelling for the Role of CD4Computational and mathematical methods in medicine · 2020
    Article
  13. Article
  14. Dynamics of Breast Cancer under Different Rates of Chemoradiotherapy.Computational and mathematical methods in medicine · 2019
    Article
  15. Review
  16. Article
  17. Tumour chemotherapy strategy based on impulse control theory.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017
    Article
  18. Article
  19. Article
  20. 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

2 authors at 2 institutions in 2 countries.

Minaya VillasanaDepartamento de Cómputo Científico y Estadística, Universidad Simón Bolivar, Venezuela. mvillasa@usb.ve
Ami Radunskaya
Pomona College · USSimón Bolívar University · VE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a competition model of tumor growth that includes the immune system response and a cycle-phase-specific drug. The model considers three populations: Immune system, population of tumor cells during interphase and population of tumor during mitosis. Delay differential equations are used to model the system to take into account the phases of the cell cycle. We analyze the stability of the system and prove a theorem based on the argument principle to determine the stability of a fixed point and show that the stability may depend on the delay. We show theoretically and through numerical simulations that periodic solutions may arise through Hopf Bifurcations.

Indexed as

Models, BiologicalAlgorithmsAnimalsAntineoplastic AgentsCell CycleCell DeathCell DivisionComputer SimulationHumansImmune SystemMitosisNeoplasmsT-Lymphocytes, CytotoxicAntineoplastic Agents

Identifiers

PMID12955460
OpenAlexW1972914572

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.