Evidence map›Paper›PMID 28769568›Full record

ArticleTherapeutics and clinical risk management2017

Incidence, causative drugs, and economic consequences of drug-induced SJS, TEN, and SJS-TEN overlap and potential drug-drug interactions during treatment: a retrospective analysis at an Indonesian referral hospital.

Rizky Abdulah, Tazkia F Suwandiman, Nadhira Handayani, Dika P Destiani, Auliya A Suwantika, Melisa I Barliana, Keri Lestari

Open access · goldAbstract read
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Article in Therapeutics and clinical risk management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Rizky AbdulahDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Tazkia F SuwandimanDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Nadhira HandayaniDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Dika P DestianiDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Auliya A SuwantikaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Melisa I BarlianaDepartment of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia.
Keri LestariDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy.
Padjadjaran University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are acute life-threatening adverse drug reactions (ADRs) that are commonly caused by medications. Apart from their contribution to morbidity and mortality, these diseases may also present substantial consequences on health care resources. In this study, we aimed to identify the incidence, causative drugs, and economic consequences of these serious ADRs and potential drug-drug interactions (DDIs) during treatment.

methodsA retrospective study that included 150 patients diagnosed with drug-induced SJS, SJS-TEN overlap, and TEN, from 2009 to 2013 in a referral hospital in West Java Province, Indonesia, was conducted to analyze the causative drugs, cost of illness (COI) as a representation of economic consequences, and potential DDIs during treatment.

resultsThe results showed that analgesic-antipyretic drugs were the most frequently implicated drugs. The COIs for SJS, SJS-TEN overlap, and TEN patients were 119.49, 139.21, and 162.08 US dollars per day, respectively. Furthermore, potential DDIs with several therapeutic medications and corticosteroids used to treat SJS, SJS-TEN overlap, and TEN were also identified.

conclusionThis study showed that analgesic-antipyretic was the major causative drug which contributed to SJS, SJS-TEN overlap, and TEN. Furthermore, our results also showed that SJS, SJS-TEN overlap, and TEN may cause considerable financial consequences to patients.

Indexed as

adverse drug reactionscost of illnessStevens–Johnson syndrometoxic epidermal necrolysis

Identifiers

PMID28769568
PMCPMC5533485
OpenAlexW2736379037

What OpenQuestion holds

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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.