Evidence map›Paper›PMID 37193529›Full record

ArticleMedical journal, Armed Forces India

DRESS, the maverick among SCARS: A case series-based review of literature.

Vikas Pathania, Anwita Sinha, Aradhana Sood, Prateek Kinra, Pankaj Das, Preema Sinha, Prerna Shankar

Open access · greenAbstract readCase Reports
In one paragraph

Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Vikas PathaniaClassified Specialist (Dermatology), Command Hospital (Southern Command), Pune, India.
Anwita SinhaGraded Specialist (Dermatology), Military Hospital Kirkee, Pune, India.
Aradhana SoodSenior Advisor (Dermatology), Base Hospital, Lucknow, India.
Prateek KinraProfessor, Dept of Pathology, Armed Forces Medical College, Pune, India.
Pankaj DasGraded Specialist (Dermatology), Base Hospital, Delhi Cantt, India.
Preema SinhaSenior Adviser & Professor (Dermatology), Base Hospital, Lucknow, India.
Prerna ShankarOfficer Commanding, Station Health Organization, Pune, India.
Command Hospital · INArmed Forces Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DRESS is a potentially life-threatening severe cutaneous adverse reaction (SCAR). Historically, it was most frequently linked with phenytoin and was initially described as phenytoin hypersensitivity syndrome; however, it was later found to be caused by various other medications, with the commonest been aromatic anticonvulsants, allopurinol and sulfonamides. The severity of this entity is related to systemic involvement, which can result in multiorgan failure and death. The diagnosis of DRESS, especially in the early stages, remains challenging and elusive due to its heterogeneous clinical presentation and the complex course of the disease with different patterns depending on the causal drug. The most important step in the management of DRESS is early diagnosis and immediate cessation of the suspected offending drug along with oral steroids or immunosuppressants to control the disease. We describe the varying presentation and management of six adults with DRESS from a tertiary care hospital, observed over a two-year period with a brief review of the literature.

Indexed as

DRESSDrug-induced hypersensitivity syndromeDrug reaction with eosinophilia and systemic symptoms

Identifiers

PMID37193529
PMCPMC10182279
OpenAlexW3176078246

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.