Evidence map›Paper›PMID 32869941›Full record

ArticlePharmacoepidemiology and drug safety2020

Analysis of immune-related adverse events caused by immune checkpoint inhibitors using the Japanese Adverse Drug Event Report database.

Shiori Hasegawa, Hiroaki Ikesue, Satoshi Nakao, Kazuyo Shimada, Ririka Mukai, Mizuki Tanaka, Kiyoka Matsumoto, Misaki Inoue, Riko Satake, Yu Yoshida and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  14. Pulmonary adverse events following immune checkpoint inhibitors.Current opinion in pulmonary medicine · 2022
    Review
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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

13 authors at 2 institutions in 1 country.

Shiori HasegawaDepartment of Pharmacy, Kobe City Medical Center General Hospital, Kobe, Hyogo, Japan.ORCID 0000-0003-0444-7945
Hiroaki IkesueDepartment of Pharmacy, Kobe City Medical Center General Hospital, Kobe, Hyogo, Japan.ORCID 0000-0002-8499-131X
Satoshi NakaoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Kazuyo ShimadaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Ririka MukaiLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Mizuki TanakaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Kiyoka MatsumotoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Misaki InoueLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Riko SatakeLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Yu YoshidaLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Fumiya GotoLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.
Tohru HashidaDepartment of Pharmacy, Kobe City Medical Center General Hospital, Kobe, Hyogo, Japan.ORCID 0000-0002-5702-5124
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, Gifu, Gifu, Japan.ORCID 0000-0002-5062-5522
Gifu Pharmaceutical University · JPKobe City Medical Center General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of our study was to characterize the clinical features of immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICIs) in a real-world setting using the Japanese Adverse Drug Event Report (JADER) database.

methodsThe irAEs were defined using the preferred terms of the Medical Dictionary for Regulatory Activities. irAEs were categorized as follows: adrenal insufficiency, colitis, eye diseases, hematological disorder, hepatitis, hyperthyroidism, hypopituitarism, hypothyroidism, myasthenia gravis, myocarditis, nephritis/renal dysfunction, pneumonitis, rash, and type 1 diabetes mellitus. We used several indices such as reporting odds ratio (ROR) to assess disproportionality in pharmacovigilance data, time-to-onset analysis using Weibull shape parameters, and the association rule mining technique to evaluate possible risk factors between variables in the spontaneous reporting system database.

resultsThe JADER database contained 534 688 reports from April 2004 to June 2018. The RORs of pneumonitis including interstitial lung disease for nivolumab, pembrolizumab, and ipilimumab were 7.02 (95% confidence interval: 6.55-7.52), 9.08 (8.28-9.97), and 1.74 (1.27-2.38), respectively. The median onsets (quartiles, 25-75%) of myocarditis caused by nivolumab and pembrolizumab were 28.0 (15.5-60.5) and 18.0 (13.0-44.5) days, respectively. Co-therapy with nivolumab and ipilimumab may be associated with irAEs in several categories as per the association rule mining analysis.

conclusionOur results demonstrated a potential risk of irAEs associated with ICIs, based on RORs and time-to-onset analysis. Furthermore, our findings indicated that patients receiving nivolumab and ipilimumab as co-therapy should be carefully monitored.

Indexed as

PharmacovigilanceAdverse Drug Reaction Reporting SystemsDatabases, FactualDrug-Related Side Effects and Adverse ReactionsHumansImmune Checkpoint InhibitorsIpilimumabJapanNivolumabImmune Checkpoint InhibitorsIpilimumabNivolumabadverse events reportimmune checkpoint inhibitorimmune-related adverse eventJADERpharmacoepidemiology

Identifiers

PMID32869941
PMCPMC7692939
OpenAlexW3082287626

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.