Evidence map›Paper›PMID 28144804›Full record

Observational studyInternational journal of clinical pharmacy2017

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

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

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International journal of clinical pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Tatsuya HayamaDepartment of Pharmacy, Nihon University Itabashi Hospital, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Katsuhiro MiuraTumor Center, Nihon University Itabashi Hospital, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan. miura.katsuhiro@nihon-u.ac.jp.
Akihiro UchiikeDepartment of Pharmacy, Nihon University Itabashi Hospital, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Masaru NakagawaDepartment of Hematology and Rheumatology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Daisuke TsutsumiDepartment of Pharmacy, Nihon University Itabashi Hospital, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Masashi SakagamiDepartment of Hematology and Rheumatology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Yoshikazu YoshidaDepartment of Pharmacy, Nihon University Itabashi Hospital, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.
Masami TakeiDepartment of Hematology and Rheumatology, Nihon University School of Medicine, 30-1 Oyaguchikamicho, Itabashi Ward, Tokyo, 173-8610, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Indexed as

Models, StatisticalAdultAgedCase-Control StudiesFemaleHumansIncidenceInfusions, IntravenousLymphoma, B-CellMaleMiddle AgedRetrospective StudiesRisk FactorsRituximabRituximabB-cell non-Hodgkin’s lymphomaCD20Infusion-related reactionsRapid infusionRituximab

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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.