Evidence map›Paper›PMID 30400842›Full record

ArticleBMC cancer2018

The impact of introducing tyrosine kinase inhibitors on chronic myeloid leukemia survival: a population-based study.

Enza Di Felice, Francesca Roncaglia, Francesco Venturelli, Lucia Mangone, Stefano Luminari, Claudia Cirilli, Giuliano Carrozzi, Paolo Giorgi Rossi

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Ponatinib and other CML Tyrosine Kinase Inhibitors in Thrombosis.International journal of molecular sciences · 2020
    Review
  13. Article
  14. Comparison ofIn vivo (Athens, Greece)
    Article
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 at 3 institutions in 1 country.

Enza Di FeliceEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Francesca RoncagliaEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Francesco VenturelliEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy. venturelli.dr.francesco@gmail.com.ORCID http://orcid.org/0000-0002-9190-8668
Lucia MangoneEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Stefano LuminariHematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Claudia CirilliEpidemiology Unit, AUSL of Modena, Modena, Italy.
Giuliano CarrozziEpidemiology Unit, AUSL of Modena, Modena, Italy.
Paolo Giorgi RossiEpidemiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Azienda Sanitaria Unità Locale di Reggio Emilia · ITAzienda Unita' Sanitaria Locale Di Modena · ITUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic myeloid leukemia is associated with a BCR/ABL oncoprotein inhibited by imatinib mesylate, the first tyrosine kinase inhibitor. Although experimental studies have clearly demonstrated the efficacy of imatinib, up-to-date data on its effectiveness at the population level are limited. Our study aims to assess the change in disease-specific survival for chronic myeloid leukemia after introducing tyrosine kinase inhibitors in first-line treatment.

methodsThis study analyzed data from two population-based cancer registries in Italy. Disease-specific survival for chronic myeloid leukemia cases diagnosed before and after the introduction of tyrosine kinase inhibitors (February 2002) were calculated up to 10 years. Hazard ratios were calculated using Cox regression models adjusted for sex, age at diagnosis and residency. An interrupted time series analysis was also performed.

resultsBetween 1996 and 2012, 357 new cases of chronic myeloid leukemia were diagnosed (standardized incidence rate of 1.2 per 100,000 residents), quite constant throughout the period. The interrupted time series analysis showed a gain of 40.4% in 5 years of disease-specific survival for chronic myeloid leukemia (from 47.3, 95%CI 38.5-55.5% to 80.8%, 95%CI 74.5-85.8%) after the introduction of tyrosine kinase inhibitors. The hazard ratio was 0.36 (95%CI 0.25-0.52) for cases diagnosed after tyrosine kinase inhibitor introduction, with differences per age at diagnosis: <65yo 0.17 (95%CI 0.08-0.39), >74yo 0.41 (95%CI 0.23-0.73). An improvement in survival (hazard ratio 0.66, 95%CI 0.36-1.20) was also observed in cases diagnosed before, and alive at, tyrosine kinase inhibitors introduction.

conclusionsTyrosine kinase inhibitors increased disease-specific survival both for new and prevalent chronic myeloid leukemia cases. The effectiveness was similar to that observed in trials only in patients ages 65 years or younger.

Indexed as

AgedAge FactorsDisease-Free SurvivalFemaleFusion Proteins, bcr-ablHumansImatinib MesylateItalyLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedProportional Hazards ModelsProtein Kinase InhibitorsFusion Proteins, bcr-ablImatinib MesylateProtein Kinase InhibitorsChronic myeloid leukemiaImatinib MesylateInterrupted time series analysisPopulation registersSurvival analysis

Identifiers

PMID30400842
PMCPMC6219019
OpenAlexW2900224992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.