Evidence map›Paper›PMID 19825370›Full record

ReviewEuropean journal of pharmacology2009

Mathematical modeling as a tool for planning anticancer therapy.

Andrzej Swierniak, Marek Kimmel, Jaroslaw Smieja

Open access · greenAbstract readReview
In one paragraph

Review in European journal of pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 120 citations in OpenAlex.

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  15. Array of translational systems pharmacodynamic models of anti-cancer drugs.Journal of pharmacokinetics and pharmacodynamics · 2016
    Review
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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

3 authors at 1 institution in 2 countries.

Andrzej SwierniakInstitute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Marek Kimmel
Jaroslaw Smieja
Silesian University of Technology · PL

Funding

Collaborative Research : Stochastic Modeling and Estimation of Gene TranscriptionR01GM086885 · NIGMS · RICE UNIVERSITY · PI KIMMEL, MAREK · 2008 to 2011
$1.7M
NIGMS NIH HHS R01 GM086885NIGMS NIH HHS R01GM086885
6 · The paper itself

Abstract

We review a large volume of literature concerning mathematical models of cancer therapy, oriented towards optimization of treatment protocols. The review, although partly idiosyncratic, covers such major areas of therapy optimization as phase-specific chemotherapy, antiangiogenic therapy and therapy under drug resistance. We start from early cell cycle progression models, very simple but admitting explicit mathematical solutions, based on methods of control theory. We continue with more complex models involving evolution of drug resistance and pharmacokinetic and pharmacodynamic effects. Then, we consider two more recent areas: angiogenesis of tumors and molecular signaling within and among cells. We discuss biological background and mathematical techniques of this field, which has a large although only partly realized potential for contributing to cancer treatment.

Indexed as

Models, BiologicalAnimalsAntineoplastic AgentsCell CycleDrug Resistance, NeoplasmHumansNeoplasmsNeovascularization, PathologicSignal TransductionAntineoplastic Agents

Identifiers

PMID19825370
PMCPMC2813310
OpenAlexW2085901248

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.