Evidence map›Paper›PMID 30879111›Full record

ArticleCancer chemotherapy and pharmacology2019

A novel method to address the association between received dose intensity and survival outcome: benefits of approaching treatment intensification at a more individualised level in a trial of the European Osteosarcoma Intergroup.

Carlo Lancia, Jakob K Anninga, Matthew R Sydes, Cristian Spitoni, Jeremy Whelan, Pancras C W Hogendoorn, Hans Gelderblom, Marta Fiocco

Abstract read
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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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

8 authors.

Carlo LanciaMathematical Institute Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands. c.lancia@math.leidenuniv.nl.ORCID 0000-0002-1239-0662
Jakob K AnningaDepartment Paediatric Oncology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.ORCID 0000-0002-0350-4306
Matthew R SydesMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, UCL and MRC London Hub for Trials Methodology Research, 90 High Holborn, London, WC1V 6LJ, UK.ORCID 0000-0002-9323-1371
Cristian SpitoniMathematical Institute Utrecht University, Budapestlaan 6, 3584 CD, Utrecht, The Netherlands. c.spitoni@uu.nl.ORCID 0000-0003-0192-606X
Jeremy WhelanDepartment of Oncology, University College London Hospital, 235 Euston Rd, Fitzrovia, London, NW1 2BU, UK.ORCID 0000-0001-6793-5722
Pancras C W HogendoornDepartment of Pathology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID 0000-0002-1513-8104
Hans GelderblomDepartment of Medical Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.ORCID 0000-0001-9270-8636
Marta FioccoMathematical Institute Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands.

Funding

Medical Research Council MC_U122861384Medical Research Council MC_UU_12023/21
6 · The paper itself

Abstract

purposeThere is lack of consensus on the prognostic value of received high dose intensity in osteosarcoma survivorship. Many studies have not shown a clear survival benefit when dose intensity is increased. The aim of this study is to go beyond chemotherapy intensification by arm-wide escalation of intended dose and/or compression of treatment schedule, while conversely addressing the relationship between treatment intensity and survival at the patient level. The study focusses on the difference in outcome results, based on a novel, progressively more individualised approach to dose intensity.

methodsA retrospective analysis of data from MRC BO06/EORTC 80931 randomised controlled trial for treatment of osteosarcoma was conducted. Three types of post hoc patient groups are formed using the intended regimen: the individually achieved cumulative dose and time on treatment, and the increase of individual cumulative dose over time. Event-free survival is investigated and compared in these three stratifications.

resultsThe strata of intended regimen and achieved treatment yields equivalent results. Received cumulative dose over time produces groups with evident different survivorship characteristics. In particular, it highlights a group of patients with an estimated 3-year event-free survival much larger (more than 10%) than other patient groups. This group mostly contains patients randomised to an intensified regimen. In addition, adverse events reported by that group show the presence of increased preoperative myelotoxicity.

conclusionsThe manuscript shows the benefits of analyzing studies by using longitudinal data, e.g. recorded per cycle. This has impact on the drafting of future trials by showing why such a level of detail is needed for both treatment and adverse event data. The novel method proposed, based on cumulative dose received over time, shows that longitudinal treatment data might be used to link survival outcome with drug metabolism. This is particularly valuable when pharmacogenetics data for metabolism of cytotoxic agents are not collected.

trial registrationISRCTN86294690.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsBone NeoplasmsDisease-Free SurvivalDose-Response Relationship, DrugHumansOsteosarcomaRandomized Controlled Trials as TopicRetrospective StudiesTime FactorsTreatment OutcomeBone tumourChemotherapyPersonalised medicineSarcoma

Identifiers

PMID30879111
PMCPMC6458990

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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.