Evidence map›Paper›PMID 36311178›Full record

ArticleAcute medicine & surgery

A case of toxic epidermal necrolysis comorbid with severe burns.

Erina Miyano, Yuichi Horikoshi, Miyabi Nakayama, Tatsuki Kuroshima, Yuka Eto, Daisuke Kawata, Motoi Okada, Naohiro Kokita, Satoshi Fujita

Abstract readCase Reports
In one paragraph

Article in Acute medicine & surgery. 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
–field-weighted citation impact
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.

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

9 authors.

Erina MiyanoDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Yuichi HorikoshiDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.ORCID https://orcid.org/0000-0002-6591-6461
Miyabi NakayamaDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Tatsuki KuroshimaDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Yuka EtoDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Daisuke KawataDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Motoi OkadaDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Naohiro KokitaDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.
Satoshi FujitaDepartment of Emergency Medicine Asahikawa Medical University Asahikawa Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Toxic epidermal necrolysis (TEN) and severe burns both have high mortality rates, but coexistence is extremely rare. The specificity of developing TEN in burn patients is not well understood and its treatment strategy is not established. Case Presentation: A 68-year-old man was carried to our hospital with severe burns covering 35% of his body surface area. He developed bacteremia during treatment of burns and required antimicrobial therapy. However, erythema appeared on the trunk and upper limbs and rapidly spread to the extremities, leading to a diagnosis of TEN. The rash gradually improved after terminating antimicrobial therapy and administrating of 1,000 mg/day methylprednisolone for 3 days. The rash caused by TEN was confined to non-burned areas, suggesting that TEN may less likely occur at burn sites. Conclusion: It is necessary to pay attention because burn patients can develop TEN concomitantly. Corticosteroids therapy may be effective for TEN even in severe burn patients.

Indexed as

Burn‐site infectionmesh skin graftingsteroid‐pulse therapysuicide attempttoxic epidermal necrolysis

Identifiers

PMID36311178
PMCPMC9609431

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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.