Evidence map›Paper›PMID 31641338›Full record

ArticleCost effectiveness and resource allocation : C/E2019

Cost-comparison analysis of a multiplatform tumour profiling service to guide advanced cancer treatment.

Gilbert Spizzo, Uwe Siebert, Guenther Gastl, Andreas Voss, Klaus Schuster, Robert Leonard, Andreas Seeber

Abstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 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

7 authors.

Gilbert SpizzoDepartment of Internal Medicine, Oncologic Day Hospital, Bressanone Hospital (SABES-ASDAA), Bressanone-Brixen, Italy.
Uwe SiebertInstitute of Public Health, Medical Decision Making and HTA, Hall in Tirol, Austria.
Guenther Gastl2Department of Haematology and Oncology, Innsbruck Medical University, Innrain 66, 6020 Innsbruck, Austria.
Andreas VossCaris Life Sciences, Basel, Switzerland.
Klaus SchusterCaris Life Sciences, Basel, Switzerland.
Robert Leonard5Imperial College, London, UK.
Andreas Seeber2Department of Haematology and Oncology, Innsbruck Medical University, Innrain 66, 6020 Innsbruck, Austria.ORCID 0000-0001-8529-7824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor profiling is increasingly used in advanced cancer patients to define treatment options, especially in refractory cases where no standard treatment is available. Caris Molecular Intelligence (CMI) is a multiplatform tumor profiling service that is comprehensive of next-generation sequencing (NGS) of DNA and RNA, immunohistochemistry (IHC) and in situ hybridisation (FISH). The aim of this study is to compare costs of CMI-guided treatment with prior or planned treatment options in correlation with outcome results.

methodsRetrospective data from five clinical trials were collected to define the treatment decision prior to the receipt of the CMI report (n = 137 patients). A systematic review of treatment data from 11 clinical studies of CMI (n = 385 patients) allowed a comparison of planned vs actual (n = 137) and prior vs actual (n = 229) treatment costs.

resultsTreatment plan was changed in 88% of CMI-profiled cases. The actual CMI guided treatment cost per cycle was £995 in 385 treated patients. Planned treatment costs were comparable to actual treatment costs (£979 vs £945; p = 0.7123) and prior treatment costs were not significantly different to profiling-guided treatments (£892 vs £850; p = 0.631).

conclusionsCaris Molecular Intelligence guided treatment cost per cycle was in the range of prior or planned treatment cost/cycle. Due to beneficial overall survival the additional cost of performing CMI's multiplatform testing to the treatment costs seems to be cost-effective.

Indexed as

Cancer treatmentCARIS multiplatformCost-effectivenessMolecular profiling

Identifiers

PMID31641338
PMCPMC6802110

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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.