Evidence map›Paper›PMID 30038738›Full record

ArticleOman medical journal2018

A Case of Toxic Epidermal Necrolysis Successfully Treated with Low Dose Intravenous Immunoglobulins and Systemic Corticosteroid.

Lutfi Al-Kathiri, Varghese Mercyamma, Tasneem Al-Najjar

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Oman medical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Lutfi Al-KathiriDepartment of Dermatology, Sultan Qaboos Hospital, Salalah, Oman.
Varghese MercyammaDepartment of Dermatology, Sultan Qaboos Hospital, Salalah, Oman.
Tasneem Al-NajjarDepartment of Dermatology, Sultan Qaboos Hospital, Salalah, Oman.
Sultan Qaboos Hospital · OM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic epidermal necrolysis (TEN), a severe form of Stevens-Johnson syndrome, is an acute life-threatening adverse drug reaction with a mortality rate of approximately 30%. Primary treatment of TEN is usually supportive. The use of intravenous immunoglobulin (IVIG) and corticosteroids are still uncertain, as there are only a limited number of studies comparing the usefulness of these treatments. We report a case of a Filipino male patient who developed TEN, most likely due to one of the medications he received during his course of illness. The patient was admitted to Sultan Qaboos Hospital, Salalah, with fever and diffuse painful maculopapular eruption, which became vesicular and bullous after few days, followed by shedding of large sheets of the epidermis. The patient was admitted initially under medical care, and a diagnosis of TEN was considered later. All unnecessary drugs were discontinued, and the patient was shifted to the burns unit. In addition to standard supportive treatment, a combination therapy of systemic steroid and a low-dose IVIG (1.2 g/kg) divided over three days was administered. This low-dose regimen of IVIG has a pharmacoeconomic benefit compared with the previous cumulative dose (3 g/kg), which is usually given by dermatologists in other institutions to patients with TEN. The outcome was excellent, and the condition recovered almost completely two weeks after starting the treatment without sequelae.

Indexed as

Drug EruptionsDrug-Related Side Effects and Adverse ReactionsImmunoglobulins, IntravenousStevens-Johnson Syndrome

Identifiers

PMID30038738
PMCPMC6047178
OpenAlexW2883035350

What OpenQuestion holds

Textmetadata
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.