Evidence map›Paper›PMID 30907446›Full record

ReviewBritish journal of clinical pharmacology2019

Haematological adverse events associated with tyrosine kinase inhibitors in chronic myeloid leukaemia: A network meta-analysis.

Mariana M Fachi, Fernanda S Tonin, Leticia P Leonart, Inajara Rotta, Fernando Fernandez-Llimos, Roberto Pontarolo

Open access · bronzeAbstract readComparative StudyReviewNetwork Meta-Analysis
In one paragraph

Review in British journal of clinical pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Review
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  8. Article
  9. Therapeutic advances of targeting receptor tyrosine kinases in cancer.Signal transduction and targeted therapy · 2024
    Review
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  12. Review
  13. Article
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  16. On-Target Side Effects of Targeted Therapeutics of Cancer.Pathology oncology research : POR · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Mariana M FachiPharmaceutical Sciences Postgraduate Programme, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0001-5918-4738
Fernanda S ToninPharmaceutical Sciences Postgraduate Programme, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0003-4262-8608
Leticia P LeonartPharmaceutical Sciences Postgraduate Programme, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0003-0927-3120
Inajara RottaPharmacy Service, Hospital de Clínicas, Federal University of Paraná, Curitiba, Brazil.ORCID 0000-0002-9099-7216
Fernando Fernandez-LlimosResearch Institute for Medicines (iMed.ULisboa), Department of Social Pharmacy, Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal.ORCID 0000-0002-8529-9595
Roberto PontaroloDepartment of Pharmacy, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0002-7049-4363
Universidade Federal do Paraná · BRHospital de Clínicas Universidade Federal do Paraná · BRUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDespite their overall favourable safety profile, tyrosine kinase inhibitors (TKIs) are related to severe adverse events including haematological toxicities such as anaemia, leucopenia, neutropenia and thrombocytopenia. We designed a systematic review and network meta-analysis of randomised controlled trials to compare safety among TKIs (bosutinib, dasatinib, imatinib, nilotinib, ponatinib and radotinib) used by patients diagnosed with chronic myeloid leukaemia.

methodsWe obtained data from the PubMed, Scopus, Web of Science, and SciELO databases. The Bayesian approach was used for direct and indirect comparisons, and the treatments were ranked by the surface under the cumulative ranking curve (SUCRA).

resultsSeventeen studies were included in the network meta-analysis. Our data show that dasatinib was generally considered worse than the other TKIs, with SUCRA values ​​for 140 mg dasatinib of 90.3% for anaemia, 87.4% for leucopenia, 90.6% for neutropenia and 97.2% for thrombocytopenia. In addition, nilotinib was shown to be safer, with SUCRA values ​​for 600 and 800 mg doses of 21.9 and 35.8% for anaemia, 23.8 and 14.6% for leucopenia, 33.0 and 17.7% for neutropenia, and 28.7 and 32.6% for thrombocytopenia, respectively.

conclusionDasatinib appeared as the least safe drug for chronic myeloid leukaemia, probably because it binds to multiple key kinase targets, being more prone to cause serious haematological adverse events. Nilotinib demonstrated a safer profile, mostly due to its selective binding capacity.

Indexed as

Antineoplastic AgentsBayes TheoremHematologic DiseasesHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveProtein Kinase InhibitorsRandomized Controlled Trials as TopicAntineoplastic AgentsProtein Kinase Inhibitorschronic myeloid leukaemiadrug-related side effects and adverse reactionsnetwork meta-analysistyrosine kinase inhibitors

Identifiers

PMID30907446
PMCPMC6783623
OpenAlexW2936533408

What OpenQuestion holds

Textmetadata
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.