Evidence map›Paper›PMID 31687042›Full record

ArticleComputational and mathematical methods in medicine2019

Mathematical Modeling, Analysis, and Simulation of Tumor Dynamics with Drug Interventions.

Pranav Unni, Padmanabhan Seshaiyer

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Article
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  8. Review
  9. Article
  10. Review
  11. Mathematical Modelling for the Role of CD4Computational and mathematical methods in medicine · 2020
    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.

Pranav UnniAmerican International School Chennai, Chennai, Tamilnadu, India.ORCID https://orcid.org/0000-0003-3425-9048
Padmanabhan SeshaiyerGeorge Mason University, Fairfax, Virginia, USA.ORCID https://orcid.org/0000-0002-4303-4636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last few decades, there have been significant developments in theoretical, experimental, and clinical approaches to understand the dynamics of cancer cells and their interactions with the immune system. These have led to the development of important methods for cancer therapy including virotherapy, immunotherapy, chemotherapy, targeted drug therapy, and many others. Along with this, there have also been some developments on analytical and computational models to help provide insights into clinical observations. This work develops a new mathematical model that combines important interactions between tumor cells and cells in the immune systems including natural killer cells, dendritic cells, and cytotoxic CD8

Indexed as

Computer SimulationDrug DesignAlgorithmsAntineoplastic AgentsCD8-Positive T-LymphocytesCell ProliferationComputational BiologyDendritic CellsHumansImmune SystemModels, TheoreticalNeoplasmsT-Lymphocytes, CytotoxicAntineoplastic Agents

Identifiers

PMID31687042
PMCPMC6800962

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.