Evidence map›Paper›PMID 26131044›Full record

ArticlePharmacy practice

Tyrosine kinase inhibitors in patients with chronic myelogeneous leukemia: defining the role of social risk factors and non-adherence to treatment.

Lucas M Okumura, Valquíria D Antunes, Karina S Aguiar, Tatiane Farias, Vânia M Andrzejevski, Vaneuza M Funke

Abstract read
In one paragraph

Article in Pharmacy practice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Impact of dosing frequency (once daily or twice daily) on patient adherence to oral targeted therapies for hematologic malignancies: a retrospective cohort study among managed care enrollees.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2019
    Article
  2. Article
  3. How to report adherence to treatment as clinically relevant data-making a case of CML and TKI.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
  4. Adherence to TKI in CML patients: more than reports.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Lucas M OkumuraPharmacy Department, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). lucasokumura@yahoo.com.br.
Valquíria D AntunesPharmacy Department, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). Antunes.vdc@gmail.com.
Karina S AguiarPharmacy Department, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). karinasilva.aguiar@gmail.com.
Tatiane FariasPharmacy Department, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). tatifernandes_1@hotmail.com.
Vânia M AndrzejevskiPharmacy Department, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). salvivania@gmail.com.
Vaneuza M FunkeHematopoietic Stem Cell Transplantation Division, Clinical Hospital, Federal University of Paraná . Curitiba, PR ( Brazil ). vaneuzamf@uol.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the role of social risk factors on adherence to tyrosine kinase inhibitors (TKI) therapy in chronic myeloid leukemia (CML) patients.

methodsThis is a retrospective study and eligible patients were adults with CML on TKI treatment. Cases of no adherence to treatment were confirmed during pharmacists' consultation (patient-reported adherence). Baseline characteristics between groups were compared between cases and controls groups. Risk factors identified in bivariate analysis (p<0.2) were included in multivariate model. A qualitative investigation assessed whether such predictors of non-adherence had causal relationship.

resultsOf 151 patients with CML consulted by pharmacists, 21% had adherence problems. Despite patients with secondary school (p=0.03), most of investigated social risk factors did not differ between groups. However, by using a qualitative approach, patients' level of education could not explain low adherence rates behavior.

conclusionsSocial determinants of health, herein investigated, were unlikely to predict adherence to treatment. Regression techniques may lead to untrue statements, so future researches should consider investigating the causes, not only the statistical estimates.

Indexed as

BrazilLeukemiaMedication AdherenceMyeloidProtein Kinase InhibitorsQualitative ResearchRisk Factors

Identifiers

PMID26131044
PMCPMC4482844

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.