Evidence map›Paper›PMID 34944892›Full record

ArticleCancers2021

Potential to Improve Therapy of Chronic Myeloid Leukemia (CML), Especially for Patients with Older Age: Incidence, Mortality, and Survival Rates of Patients with CML in Switzerland from 1995 to 2017.

Michael Daskalakis, Anita Feller, Jasmine Noetzli, Nicolas Bonadies, Volker Arndt, Gabriela Maria Baerlocher, The Nicer Working Group

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Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

6 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.

Michael DaskalakisDepartment of Hematology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland.ORCID 0000-0002-8138-0505
Anita FellerFoundation National Institute for Cancer Epidemiology and Registration (NICER), University of Zurich, Seilergraben 49, 8001 Zurich, Switzerland.
Jasmine NoetzliDepartment of Hematology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland.
Nicolas BonadiesDepartment of Hematology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 18, 3010 Bern, Switzerland.ORCID 0000-0001-8761-2066
Volker ArndtFoundation National Institute for Cancer Epidemiology and Registration (NICER), University of Zurich, Seilergraben 49, 8001 Zurich, Switzerland.ORCID 0000-0001-9320-8684
Gabriela Maria BaerlocherDepartment of BioMedicalResearch (DMBR), University of Bern, Murtenstrasse 40, 3008 Bern, Switzerland.
The Nicer Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTyrosine kinase inhibitors (TKI) substantially improved chronic myeloid leukemia (CML) prognosis. We aimed to describe time period- and age-dependent outcomes by reporting real-world data of CML patients from Switzerland.

methodsPopulation-based incidence, mortality, and survival were assessed for four different study periods and age groups on the basis of aggregated data from Swiss Cantonal Cancer Registries.

resultsA total of 1552 new CML cases were reported from 1995 to 2017. The age-standardized rate (ASR) for the incidence remained stable, while the ASR for mortality decreased by 50-80%, resulting in a five-year RS from 36% to 74% over all four age groups. Importantly, for patients <60 years (yrs), the five-year RS increased only in earlier time periods up to 92%, whereas for older patients (+80 yrs), the five-year RS continued to increase later, however, reaching only 53% until 2017.

conclusionsThis is the first population-based study of CML patients in Switzerland confirming similar data compared to other population-based registries in Europe. The RS increased significantly in all age groups over the last decades after the establishment of TKI therapy. Interestingly, we found a more prominent increase in RS of patients with older age at later observation periods (45%) compared to patients at younger age (10%), implicating a greater benefit from TKI treatment for elderly occurring with delay since the establishment of TKI therapy. Our findings suggest more potential to improve CML therapy, especially for older patients.

Indexed as

CMLincidencemortalityrelative survivaltyrosine kinase inhibitor

Identifiers

PMID34944892
PMCPMC8699480

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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.