Evidence map›Paper›PMID 29953021›Full record

Observational studyMedicine2018

Side effects and medication adherence of tyrosine kinase inhibitors for patients with chronic myeloid leukemia in Taiwan.

Yu-Fen Tsai, Wen-Chuan Huang, Shih-Feng Cho, Hui-Hua Hsiao, Yi-Chang Liu, Sheng-Fung Lin, Ta-Chih Liu, Chao-Sung Chang

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Patient-reported toxicity symptoms during tyrosine kinase inhibitor treatment in chronic myeloid leukemia: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Review
  6. An investigation of the use of app technology to support clinical management of patients with chronic myeloid leukaemia (CML).Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2023
    Article
  7. Article
  8. Predictors of tyrosine kinase inhibitor adherence trajectories in patients with newly diagnosed chronic myeloid leukemia.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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 4 institutions in 1 country.

Yu-Fen TsaiDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung Department of Pharmacy, China Medical University Hospital, China Medical University, Taichung School of Medicine, I-Shou University Division of Hematology and Oncology, E-Da Cancer Hospital, Kaohsiung City, Taiwan.
Wen-Chuan Huang
Shih-Feng Cho
Hui-Hua Hsiao
Yi-Chang Liu
Sheng-Fung Lin
Ta-Chih Liu
Chao-Sung Chang
Kaohsiung Medical University · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TWChina Medical University Hospital · TWI-Shou University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonadherence is common in patients with chronic myeloid leukemia (CML) and leads to treatment failure and poor outcomes. Side effects due to treatment are also common in patients with CML. However, no study has investigated the link between side effects and medication adherence for patients with CML in Taiwan. Therefore, the aim of our study was to explore the influence of side effects on medication adherence in Taiwanese patients with CML.CML in chronic-phase patients treated with breakpoint cluster region-Abelson murine leukemia viral oncogene homolog 1 tyrosine kinase inhibitors were recruited. We designed a questionnaire to collect baseline patient information, medication adherence (measured using the 8-item Morisky Medication Adherence Scale), and side effects. Clinical outcomes were assessed by the 3-month early molecular response rate and the 12-month major molecular response rate. Statistical comparisons of different parameters between adherent and nonadherent groups were conducted.Fifty-eight patients were enrolled in this study, and 31% of them had poor adherence. The lack of information about treatment and medication was the major reason for poor medication adherence. Patients who were younger and unmarried were prone to poor adherence. The occurrence of side effects carried no statistically significant influence on adherence. Poor adherence resulted in a poor treatment response (lower 3-month early molecular response rate and lower 12-month major molecular response rate).Poor adherence is common in Taiwanese patients with CML. The main reason for a decrease in the adherence rate is the lack of comprehensive information about treatment and medication, particularly in young and single population. The next urgent step is to educate patients about their treatment and management of side effects to improve adherence and treatment outcome for patients with CML in Taiwan.

Indexed as

Drug MonitoringAdultAgedAged, 80 and overAge FactorsDasatinibFemaleHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedProtein-Tyrosine KinasesRetrospective StudiesSex FactorsSocioeconomic FactorsDasatinibImatinib MesylateProtein-Tyrosine Kinases

Identifiers

PMID29953021
PMCPMC6039620
OpenAlexW2810852071

What OpenQuestion holds

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LicenceCC BY-NC
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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.