Evidence map›Paper›PMID 40255708›Full record

ArticleCureus2025

Cheilitis Granulomatosa: A Case Report of a Sarcoid Mimic.

Stephanie Nagy, Marika Fraser, Marc M Kesselman

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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

3 authors.

Stephanie NagyDepartment of Rheumatology, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Davie, USA.
Marika FraserDivision of Otolaryngology, Memorial Healthcare System, Hollywood, USA.
Marc M KesselmanDepartment of Rheumatology, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Davie, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cheilitis granulomatosa (CG) is a persistent and progressive swelling of the lips that can be non-tender and soft or firm to touch, with noncaseating granulomas that are perilymphatic and may show intralymphatic histiocytosis and lymphatic dilatation. CG can occur as an isolated condition or as part of Melkersson-Rosenthal syndrome, which also includes facial paralysis and a fissured tongue. The etiology of CG is currently unknown but has been hypothesized to be connected to genetics, allergies, immunological processes, and infectious causes. This case provides further evidence for the pathogenic causes of CG. We present a 46-year-old male patient with four years of progressive lip swelling to an outpatient rheumatological clinic, the cause of which has yet to be determined following numerous visits to healthcare providers. Corticosteroids were previously attempted, resulting in minor improvements in swelling; however, following discontinuation, the lip swelling returned. Laboratory findings were significant for Saccharomyces and Lyme disease, while other autoimmune biomarkers remained negative, and a biopsy indicated noncaseating granulomas, leading to the diagnosis of CG. The patient was started on mycophenolate, and following treatment, there was a significant reduction in the swelling of the lips. As the strongest cause of CG is currently unknown, this unique case brings awareness to the infectious causes leading to CG. It calls for a greater need to investigate the reason behind certain pathogens specifically targeting the lips without causing any other systemic effects.

Indexed as

cheilitis granulomatosagranulomatous cheilitislip swellingmelkersson-rosenthal syndromemiescher cheilitisorofacial granulomatosissarcoid mimicker

Identifiers

PMID40255708
PMCPMC12009004

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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.