Evidence map›Paper›PMID 36975206›Full record

ReviewCancer reports (Hoboken, N.J.)2023

Equivalent doses for anticancer agents used in pediatric oncology: A literature review and evaluation of a novel approach for conversion factors.

Meike Ressing, Cornelia Becker, Christian Müller, Seyed Hamidreza Mahmoudpour, Gabriele Calaminus, Thorsten Langer, Friederike Erdmann, Mathias Voigt, Melanie Kaiser, Peter Kaatsch and 2 more

Abstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Meike RessingGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.ORCID 0000-0001-6326-9005
Cornelia BeckerGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Christian MüllerGert and Susanna Mayer Foundation, Wuppertal, Germany.
Seyed Hamidreza MahmoudpourGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Gabriele CalaminusDepartment of Pediatric Hematology and Oncology, University Hospital Bonn, Bonn, Germany.
Thorsten LangerPediatric Oncology and Hematology, University Hospital for Children and Adolescents, Lübeck, Germany.
Friederike ErdmannGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Mathias VoigtGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Melanie KaiserGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Peter KaatschGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.ORCID 0000-0002-8565-0832
Maria BlettnerInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Claudia SpixGerman Childhood Cancer Registry (GCCR), Division of Childhood Cancer Epidemiology, Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological research on late effects of therapy shows the necessity to aggregate chemotherapy agents to substance classes. This requires using conversion factors by substance classes.

aimsThe aim of this study was to identify previously used conversion factors from the literature, to present a novel approach for additional factors, and to compare these approaches. METHODS AND

resultsA literature review was performed, which identified two main principles of deriving conversion factors: effect-equivalence and equimolar. Thirty-five articles presenting effect equivalence-based factors in the widest sense were found in the literature. Ten articles presented the equimolar approach which can be applied to almost all chemotherapy substances. Based on a comprehensive list of treatment protocols used in German pediatric oncology, we derived alternative conversion factors from typical doses. We compared the conversion factors using Pearson correlation coefficients and linear regression. At least two types of conversion factor were available for each of the 49 substances included. The equivalent effect-based and the typical dose-based factors were highly correlated with a regression coefficient close to 1. The equimolar factors are independent.

conclusionsFor substances for which no conversion factor based on some type of effect equivalence has been published so far, a factor based on a typical doses-approach may be used in epidemiological late effects research. Doses aggregated based on the equimolar approach may not be compatible with doses aggregated based on equivalent effects.

Indexed as

Antineoplastic AgentsDrug Dosage CalculationsAlgorithmsChildHumansNeoplasmsAntineoplastic Agentschemotherapeuticschildhood cancerconversion factorsdosessecond tumor

Identifiers

PMID36975206
PMCPMC10172172

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Registered trials

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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.