Evidence map›Paper›PMID 27160310›Full record

ArticleActa haematologica2016

Medication Adherence to Tyrosine Kinase Inhibitors: 2-Year Analysis of Medication Adherence to Imatinib Treatment for Chronic Myeloid Leukemia and Correlation with the Depth of Molecular Response.

Fiorenzo Santoleri, Ruggero Lasala, Elena Ranucci, Gaetano La Barba, Roberto Di Lorenzo, Antonio Vetrò, Paolo Di Bartolomeo, Alberto Costantini

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In one paragraph

Article in Acta haematologica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Observational
  3. Observational
  4. Article
  5. BCR-ABL1 tyrosine kinase inhibitors for the treatment of chronic myeloid leukemia.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2018
    Review
  6. Observational
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Fiorenzo SantoleriHospital Pharmacy, Spirito Santo General Hospital of Pescara, Pescara, Italy.
Ruggero Lasala
Elena Ranucci
Gaetano La Barba
Roberto Di Lorenzo
Antonio Vetrò
Paolo Di Bartolomeo
Alberto Costantini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdherence to tyrosine kinase inhibitor treatment is a significant factor in the achievement of a good clinical response in chronic myeloid leukemia (CML). The aim of this retrospective study is to investigate 1- and 2-year medication adherence to imatinib treatment, linking adherence rates with the clinical outcome, in accordance with European LeukemiaNet Recommendations for the management of CML. We have tried to find a cutoff value for adherence in order to achieve a good clinical outcome.

methodsThe method used to calculate medication adherence was the ratio between the received and the prescribed daily dose.

resultsWe observed the levels of mean adherence for each of the following response groups (in years 1 and 2, respectively): complete response (0.96, 0.95), MR4.5 (1.00, -), MR4 (0.93, 0.91), major molecular responses (0.96, 0.97), warning (0.91, 0.89) and failure (0.79, 0.84).

conclusionResults show that the higher the adherence, the lower the level of BCR-ABL1. Furthermore, using cutoffs ≥0.9, outcomes were significantly improved compared to those with cutoffs <0.90. This value of adherence is in line with previous publications.

Indexed as

Imatinib MesylateMedication AdherenceAntineoplastic AgentsBenzamidesFusion Proteins, bcr-ablHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositivePiperazinesProtein Kinase InhibitorsProtein-Tyrosine KinasesPyrimidinesRetrospective StudiesTreatment OutcomeAntineoplastic AgentsBenzamidesFusion Proteins, bcr-ablImatinib MesylatePiperazinesProtein Kinase InhibitorsProtein-Tyrosine KinasesPyrimidines

Identifiers

PMID27160310

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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.