Evidence map›Paper›PMID 30561126›Full record

ArticleCancer medicine2019

Pharmacovigilance evaluation of the relationship between impaired glucose metabolism and BCR-ABL inhibitor use by using an adverse drug event reporting database.

Naoto Okada, Takahiro Niimura, Yoshito Zamami, Hirofumi Hamano, Shunsuke Ishida, Mitsuhiro Goda, Kenshi Takechi, Masayuki Chuma, Masaki Imanishi, Keisuke Ishizawa

Abstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Effect of D-mannose on Philadelphia chromosome-positive leukemia cells.Cancer biomarkers : section A of Disease markers · 2022
    Article
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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

10 authors.

Naoto OkadaDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.ORCID 0000-0003-2476-9191
Takahiro NiimuraDepartment of Clinical Pharmacology and Therapeutics, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Yoshito ZamamiDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Hirofumi HamanoDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Shunsuke IshidaDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Mitsuhiro GodaDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Kenshi TakechiClinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.
Masayuki ChumaClinical Trial Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.
Masaki ImanishiDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.
Keisuke IshizawaDepartment of Pharmacy, Tokushima University Hospital, Tokushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breakpoint cluster region-Abelson murine leukemia (BCR-ABL) inhibitors markedly improve the prognosis of chronic myeloid leukemia. However, high treatment adherence is necessary for successful treatment with BCR-ABL inhibitors. Therefore, an adequate understanding of the adverse event profiles of BCR-ABL inhibitors is essential. Although many adverse events are observed in trials, an accurate identification of adverse events based only on clinical trial results is difficult because of strict entry criteria or limited follow-up durations. In particular, BCR-ABL inhibitor-induced impaired glucose metabolism remains controversial. Pharmacovigilance evaluations using spontaneous reporting systems are useful for analyzing drug-related adverse events in clinical settings. Therefore, we conducted signal detection analyses for BCR-ABL inhibitor-induced impaired glucose metabolism by using the FDA Adverse Event Reporting System (FAERS) and Japanese Adverse Drug Event Report (JADER) database. Signals for an increased reporting rate of impaired glucose metabolism were detected only for nilotinib use, whereas these signals were not detected for other BCR-ABL inhibitors. Subgroup analyses showed a clearly increased nilotinib-associated reporting rate of impaired glucose metabolism in male and younger patients. Although FAERS- and JADER-based signal detection analyses cannot determine causality perfectly, our study suggests the effects on glucose metabolism are different between BCR-ABL inhibitors and provides useful information for the selection of appropriate BCR-ABL inhibitors.

Indexed as

AdultAgedAged, 80 and overDatabases, FactualFemaleFusion Proteins, bcr-ablGlucoseHumansMaleMiddle AgedPharmacovigilanceProtein Kinase InhibitorsPyrimidinesYoung AdultFusion Proteins, bcr-ablGlucosenilotinibProtein Kinase InhibitorsPyrimidinesBCR-ABL inhibitorsFAERSimpaired glucose metabolismJADERspontaneous reporting system

Identifiers

PMID30561126
PMCPMC6346261

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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.