Evidence map›Paper›PMID 22852024›Full record

ReviewComputational and mathematical methods in medicine2012

In silico modelling of treatment-induced tumour cell kill: developments and advances.

Loredana G Marcu, Wendy M Harriss-Phillips

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

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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

2 authors.

Loredana G MarcuDepartment of Medical Physics, Royal Adelaide Hospital, North Terrace, Adelaide, SA 5000, Australia. loredana.marcu@health.sa.gov.au
Wendy M Harriss-Phillips

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling.

Indexed as

AlgorithmsAnimalsArea Under CurveCombined Modality TherapyComputer SimulationDose Fractionation, RadiationDrug TherapyHumansHypoxiaKineticsModels, TheoreticalMonte Carlo MethodNeoplasmsStochastic Processes

Identifiers

PMID22852024
PMCPMC3407630

What OpenQuestion holds

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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.