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A clinical prediction model for infusion-related reactions to rituximab in patients with B cell lymphomas

Overview of attention for article published in International Journal of Clinical Pharmacy, January 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
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Title
A clinical prediction model for infusion-related reactions to rituximab in patients with B cell lymphomas
Published in
International Journal of Clinical Pharmacy, January 2017
DOI 10.1007/s11096-017-0429-3
Pubmed ID
Authors

Tatsuya Hayama, Katsuhiro Miura, Akihiro Uchiike, Masaru Nakagawa, Daisuke Tsutsumi, Masashi Sakagami, Yoshikazu Yoshida, Masami Takei

Abstract

Background Infusion-related reactions (IRRs) are a major adverse event of rituximab. Objective To develop a prediction model for IRRs to rituximab among patients with B cell non- Hodgkin's lymphomas (B-NHL). Setting A 1000-bed university hospital in Tokyo. Methods Patients with B-NHL treated with rituximab at our institution from 2004 to 2014 were retrospectively analysed. Chills, fever, rash, nausea, asthenia, headache, cardiovascular symptoms, and respiratory symptoms of any grade, in association with rituximab infusion, were identified as IRRs. Risk factors for IRRs to rituximab found in the intergroup analysis were subsequently evaluated by using multivariate analysis. Main outcome measure Occurrence of IRRs to rituximab. Results A total of 140 patients with various types of B-NHL, including 74% with diffuse large Bcell lymphoma, were analysed. Among them, 55 and 85 patients were assigned to the IRR group and the non-IRR group, respectively. Indolent histological subtypes, bulky disease (>10 cm), B symptoms, higher serum soluble interleukin-2 receptor concentration, and bone marrow involvement were more common in the IRR group. The multivariate logistic regression analysis identified low-grade lymphomas [odds ratio (OR) 2.81, p = 0.017] and bulky disease (OR 2.52, p = 0.037) as independent risk factors for IRRs to rituximab. The incidence rates of IRRs to rituximab among patients with neither, one, or both of these risk factors were 26, 54, and 78%, respectively (χ(2) = 16.4, p < 0.001). Conclusions A simple combination of histopathological subtype and bulkiness of disease could predict the risk of IRRs to rituximab among patients with B-NHL.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Student > Doctoral Student 3 14%
Student > Bachelor 2 9%
Student > Master 2 9%
Other 1 5%
Other 5 23%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Nursing and Health Professions 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Biochemistry, Genetics and Molecular Biology 1 5%
Decision Sciences 1 5%
Other 1 5%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2017.
All research outputs
#12,838,216
of 22,962,258 outputs
Outputs from International Journal of Clinical Pharmacy
#578
of 1,099 outputs
Outputs of similar age
#195,950
of 420,270 outputs
Outputs of similar age from International Journal of Clinical Pharmacy
#15
of 27 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,099 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.