Evidence map›Paper›PMID 34780556›Full record

ArticlePloS one2021

Price trends of reimbursed oncological drugs in Switzerland in 2005-2019: A descriptive analysis.

Yael Rachamin, Christoph Jakob Ackermann, Oliver Senn, Thomas Grischott

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yael RachaminInstitute of Primary Care, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-1484-6934
Christoph Jakob AckermannDepartment of Medical Oncology, Spital STS AG, Thun, Switzerland.ORCID 0000-0003-2621-5512
Oliver SennInstitute of Primary Care, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0003-4422-7250
Thomas GrischottInstitute of Primary Care, University of Zurich and University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-1564-5296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing oncological treatment costs are a major global concern with the risk of entailing two-tiered health care. Among cost determining factors is the price of individual drugs. In recognition of the central role of this factor, we present a comprehensive overview of the development of monthly prices of oncological drugs introduced over the last 15 years in Switzerland. We identified all oncological drugs newly reimbursed by mandatory health insurance in 2005-2019, and searched public repositories for their package prices, indications with approval dates, and treatment regimens for the calculation of (indication-specific) monthly prices. We found 81 products covering 77 different substances (39.5% protein kinase inhibitors, 21.0% monoclonal antibodies). Most indications related to the topography "blood", followed by "lung and thorax" and "digestive tract". From 2005–2009 to 2015–2019, the median monthly product price over all distinct indications of all products decreased by 7.56% (CHF 5,699 [interquartile range 4,483–7,321] to CHF 5,268 [4,019–6,967]), whereas it increased by 73.7% for monoclonal antibodies. In December 2019, six products had monthly prices over CHF 10,000, all approved for hematological or dermatological cancers. Our analysis suggests that individual price developments of oncological drugs are presently not the major driver of rising cancer treatment costs. However, rising launch prices of some new, mostly hematological drugs are of concern and require continued monitoring.

Indexed as

Antineoplastic AgentsDrug CostsHumansInsurance, Health, ReimbursementNeoplasmsSwitzerlandAntineoplastic Agents

Identifiers

PMID34780556
PMCPMC8592494

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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.