Evidence map›Paper›PMID 42725193›Full record

ArticleCureus2026

Necrobiosis Lipoidica Mimicking Chronic Infectious Ulceration: A Case Report and Literature Review.

Kylee Arthurs, Brianna M Tischner, Nathalie Ruiz, Michael Higginbotham, Juan Socas

Abstract readCase Reports
In one paragraph

Article in Cureus, 2026. 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

5 authors.

Kylee ArthursGeneral Surgery, HCA Florida Brandon Hospital, Brandon, USA.
Brianna M TischnerGeneral Surgery, HCA Florida Brandon Hospital, Brandon, USA.
Nathalie RuizPathology, HCA Florida Brandon Hospital, Brandon, USA.
Michael HigginbothamGeneral Surgery, HCA Florida Brandon Hospital, Brandon, USA.
Juan SocasPlastic Surgery, HCA Florida Brandon Hospital, Brandon, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Necrobiosis lipoidica (NL) is a rare, granulating autoimmune disease that can be quite difficult to diagnose. It has a higher incidence in diabetic patients than in the general population. Diagnosis often depends upon both clinical and histopathologic examinations. It has a frequent association with diabetes, metabolic syndrome (obesity, hypertension, high cholesterol), and thyroid diseases. This is the case of a 50-year-old male patient who developed ulcerative skin lesions that were refractory to antibiotic therapy. He underwent antibiotic treatments for about two years, as well as multiple surgical debridement with skin grafting. However, the lesions continued to recur. Finally, after two years, a diagnosis of NL was made. He was subsequently prescribed steroids and immunologics, which improved his symptoms significantly. NL treatment is determined by whether the lesions are ulcerative or not. Typically, management will begin with topical corticosteroids and advance to systemic treatments as indicated. Surgical interventions are generally not recommended, as this disease is known to have pathergy. NL is a rare disease that is difficult to diagnose. It can be mistaken for an infectious etiology, like in our case. Due to the difficulty in diagnosing the disease, treatment can be delayed and, in turn, result in unintended harm to the patient with unnecessary procedures. In the future, there should be further investigation into the pathogenesis of this disease and advancement of diagnostic tools for earlier, accurate diagnosis.

Indexed as

autoimmunegeneral dermatologynecrobiosis lipoidicapathergyplastic surgergywide surgical resectionwound care

Identifiers

PMID42725193
PMCPMC13560897

What OpenQuestion holds

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Registered trials

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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.