Evidence map›Paper›PMID 27330825›Full record

ArticleJournal of pharmaceutical health care and sciences2016

Analysis of Stevens-Johnson syndrome and toxic epidermal necrolysis using the Japanese Adverse Drug Event Report database.

Junko Abe, Ryogo Umetsu, Kanako Mataki, Yamato Kato, Natsumi Ueda, Yoko Nakayama, Yuuki Hane, Toshinobu Matsui, Haruna Hatahira, Sayaka Sasaoka and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical health care and sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
8.6field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 89 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Junko AbeLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan ; Medical Database Co., Ltd, 3-11-10 Higashi, Shibuya-ku, Tokyo 150-0011 Japan.
Ryogo UmetsuLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan ; Clinical Research, Innovation and Education Center, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba Ward, Sendai, Miyagi 980-8574 Japan.
Kanako MatakiMolecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Yamato KatoLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Natsumi UedaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Yoko NakayamaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Yuuki HaneLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Toshinobu MatsuiLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Haruna HatahiraLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Sayaka SasaokaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Yumi MotookaLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Hideaki HaraMolecular Pharmacology, Department of Biofunctional Evaluation, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Zenichiro KatoDepartment of Pediatrics, Gifu University Graduate School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan ; United Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, 1-1 Yanagido, Gifu, 501-1194 Japan.
Yasutomi KinosadaUnited Graduate School of Drug Discovery and Medical Information Sciences, Gifu University, 1-1 Yanagido, Gifu, 501-1194 Japan.
Naoki InagakiLaboratory of Pharmacology, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Mitsuhiro NakamuraLaboratory of Drug Informatics, Gifu Pharmaceutical University, 1-25-4 Daigaku-nishi, Gifu, 501-1196 Japan.
Gifu Pharmaceutical University · JPGifu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe cutaneous adverse reactions associated with fatal disorders. Although many causes of SJS/TEN have been proposed, the time-to-onset for SJS/TEN and the relationship between aging and SJS/TEN are still not clear. Therefore, the aim of this study was to determine the relationship between aging and SJS/TEN using the Japanese Adverse Drug Event Report (JADER) database and analyze the time-to-onset profile of SJS/TEN.

methodsWe analyzed reports of SJS/TEN recorded in the JADER database between 2004 and 2015 using an adjusted reporting odds ratio (ROR). We also used Weibull proportional hazards models for each drug to examine the expression patterns of SJS/TEN. We selected the drugs according to the number of the reports associated with SJS/TEN.

resultsThe JADER contained 330,686 reports from April 2004 to April 2015. The adjusted RORs for patients in the 0-19-, 20-39-, 60-79-, and ≥ 80-year-old groups from all data extracted from the JADER database were 1.33 (95 % confidence interval [CI], 1.21-1.45), 1.78 (95 % CI, 1.65-1.93), 0.71 (95 % CI, 0.66-0.75), and 0.72 (95 % CI, 0.66-0.79), respectively. The adjusted ROR tended to be higher in patients aged 0-19 years, particularly in patients using antipyretic analgesics, such as loxoprofen or acetaminophen. More than half of the cases of SJS/TEN onset following administration of loxoprofen and acetaminophen occurred within 4 days of the initiation of treatment. The median times-to-onset were 3 days for loxoprofen and 2 days for acetaminophen. The scale parameter α values of loxoprofen and acetaminophen were 9.44 and 6.17, respectively. The upper 95 % CIs of shape parameter β values for the drugs were all less than 1, with the exceptions of those for carbamazepine, ACE inhibitors, and corticosteroids.

conclusionsOur results suggested that monitoring of younger patients who frequently use antipyretic analgesics is important. These drugs should be used and monitored within the first 2-3 days of treatment in the Japanese population.

Indexed as

Japanese Adverse Drug Event ReportStevens-Johnson syndromeToxic epidermal necrolysis

Identifiers

PMID27330825
PMCPMC4915172
OpenAlexW2424963986

What OpenQuestion holds

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LicenceCC BY
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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.