Evidence map›Paper›PMID 38073663›Full record

ArticleGlobal pediatric health2023

Overlapping Stevens-Johnson Syndrome and DRESS Syndrome Caused by Phenobarbital: A Vietnamese Case Report.

Khiem Van Nguyen, Quang Van Vu, Mai Hoang Tran, Huy Quoc Nguyen, Chi Quynh Le, Bang Cam Thi Dang, Hieu Chi Chu, Dinh Van Nguyen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Global pediatric health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 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

8 authors at 5 institutions in 1 country.

Khiem Van NguyenVietnam National Children's Hospital, Hanoi, Vietnam.ORCID https://orcid.org/0000-0001-9150-253X
Quang Van VuHai Phong University of Medicine and Pharmacy, Hanoi, Vietnam.
Mai Hoang TranCenter for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Vietnam.
Huy Quoc NguyenVietnam University of Traditional Medicine, Hanoi, Vietnam.
Chi Quynh LeVietnam National Children's Hospital, Hanoi, Vietnam.
Bang Cam Thi DangVietnam National Children's Hospital, Hanoi, Vietnam.
Hieu Chi ChuBach Mai Hospital, Hanoi, Vietnam.
Dinh Van NguyenCollege of Heath Sciences, VinUniversity, Hanoi, Vietnam.
Hai phong University Of Medicine and Pharmacy · VNVietnam National Children's Hospital · VNBạch Mai Hospital · VNViet Nam University Of Traditional Medicine · VNVinmec International Hospital · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome and Stevens-Johnson Syndrome (SJS) are severe cutaneous adverse reactions to drugs. Those reactions which are rare in children can be especially severe and challenging to diagnose and manage. Herein we present a 59-month-old male who presented with a rash, fever, and multiple organ dysfunction initiation of Phenobarbital for epilepsy. Diagnosis of ovelaping SJS and DRESS syndrome had been made based on clinical manifestations accompanied with skin biopsy according to RegisSCAR diagnostic criteria. A therapy with intravenous immune globulin (IVIG), corticosteroids and supportive care was given successfully for the patient. This case underscored the significance of promptly and effectively recognizing and managing these intricate reactions.

Indexed as

case reportDrug Reaction with Eosinophilia and Systemic Symptomspediatric patientphenobarbitalsevere cutaneous adverse reactionsStevens Johnson Syndrome

Identifiers

PMID38073663
PMCPMC10699157
OpenAlexW4389337756

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.