Evidence map›Paper›PMID 38187026›Full record

ReviewCureus2024

Narrative Review: Pyoderma Gangrenosum.

Ann N Park, Aishwarya Raj, Joe Bajda, Vasavi R Gorantla

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 7 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

4 authors at 1 institution in 2 countries.

Ann N ParkAnatomical Sciences, St. George's University School of Medicine, True Blue, GRD.
Aishwarya RajAnatomical Sciences, St. George's University School of Medicine, True Blue, GRD.
Joe BajdaAnatomical Sciences, St. George's University School of Medicine, True Blue, GRD.
Vasavi R GorantlaBiomedical Sciences, West Virginia School of Osteopathic Medicine, Lewisburg, USA.
St. George's University · GD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyoderma gangrenosum (PG) is a skin lesion, characteristically a neutrophilic dermatosis, that can be complicated by rapid progression, necrosis, and ulceration. This is an important pathology to be discussed given that there are no established criteria for diagnosis or treatment. This review aims to elucidate characteristics and variations of PG that distinguish it from other ulcerative skin lesions. Variability in presentation can lead to missed or incorrect diagnosis, and some of the currently proposed criteria for categorizing and diagnosing PG have been included here. These criteria distinguish PG in terms of the nature of the lesion, the location, etiology, responsiveness to immunosuppressive therapy, and patient history. The etiology and pathogenesis of PG remain unknown, but we summarize prominent theories and explanations. Furthermore, recent research indicates that the incidence of PG has a strong correlation with autoimmune conditions, particularly inflammatory bowel disease. Major treatments for PG coincide with these findings, as the majority involve targeted anti-inflammatories, immunosuppressants, and surgical interventions. These treatments are addressed in this review, with added context for local versus systemic disease.

Indexed as

autoimmune-mediated inflammatory dermatosiscomplications of inflammatory bowel diseaseneutrophilic dermatosisperistomal pyoderma gangrenosumpost-operative pyoderma gangrenosumpyoderma gangrenosumskin ulcerulcerative pyoderma gangrenosumvegetative pyoderma gangrenosum

Identifiers

PMID38187026
PMCPMC10771820
OpenAlexW4390651270

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.