Evidence map›Paper›PMID 29928704›Full record

ArticleClinical and translational radiation oncology2018

MATLAB®-based fitting method to evaluate survival fractions after multimodal treatment.

Jolanta Marzec, Lukasz Marzec, Peter Martus, Daniel Zips, Arndt-Christian Müller

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. A radiobiological perspective on radioresistance or/and radiosensitivity of head and neck squamous cell carcinoma.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
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.

Jolanta MarzecDepartment of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.
Lukasz MarzecZentrum für Datenverarbeitung, Eberhard Karls University, Wächterstraße 76, 72074 Tübingen, Germany.
Peter MartusInstitute for Clinical Epidemiology and Applied Biometry, Eberhard Karls University, Silcherstraße 5, 72076 Tübingen, Germany.
Daniel ZipsDepartment of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.
Arndt-Christian MüllerDepartment of Radiation Oncology, Eberhard Karls University, Hoppe-Seyler-Strasse 3, 76072 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To easily analyse and visualize cell kill dynamics measured by survival fraction after single or combined treatments a MATLAB®-based application was developed. A statistical analysis with different options of visualisation of single and combined treatment effects can be performed in a few steps not requiring advanced knowledge of statistical programs.

Indexed as

LQ-ModelMATLAB®-based fitting methodMultimodal treatmentSurvival fraction

Identifiers

PMID29928704
PMCPMC6008626

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.