ReviewClinical, cosmetic and investigational dermatology2023
Recalcitrant Pyoderma Gangrenosum: Clinical Burden and Unmet Needs.
Review in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Recurrence after healing in pyoderma gangrenosum: a prospective registry-based cohort study.EClinicalMedicine · 2026Article
- Recurrent Pyoderma Gangrenosum with Initial Onset in Early Pregnancy: A PARACELSUS-Supported Clinical Diagnosis in a Resource-Limited Setting in South-Western Uganda.International medical case reports journal · 2026Article
- IL-12/IL-23 Blockade Reveals Patterns of Asynchronous Inflammation in Pyoderma Gangrenosum.The Journal of investigative dermatology · 2025Article
- Clinical characteristics, treatment, and wound management of pyoderma gangrenosum: A case series.PloS one · 2025Article
- Treatment of systemic sclerosis complicated with pyoderma gangrenosum with adalimumab: A case report of a rare disease.International journal of immunopathology and pharmacologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pyoderma gangrenosum (PG) is a rare, autoinflammatory disease leading to aseptic ulcers which carries a significant disease burden and is often difficult to treat, with many patients failing first-line treatment and requiring additional therapies. Such cases are typically referred to in the literature as "recalcitrant", "refractory", or "resistant", though little is known about the clinical characteristics of such cases. We performed a narrative literature review to characterize patient demographics and clinical course associated with difficult to treat pyoderma gangrenosum cases in order to identify trends to guide future clinical management and therapeutic innovation. We identified 148 cases with clinical manifestations and associated patient demographics stratified by ulcer and patient features. Consistent with previous work, a greater prevalence of PG was observed among female patients and those with a history of inflammatory bowel disease, however interestingly despite an aggressive course to their PG, few patients had comorbidities complicating their disease course. Additionally, despite the requirement of three or more treatments for most patients' disease to resolve, the majority healed within the typical window observed in previous clinical studies with low rates of recurrence. Biologics were the most common medication patients were on at time of remission. Collectively, our results suggest a potential benefit for a reduced threshold for biologic initiation in PG patients and a need for standardization of language in the field to facilitate treatment outcomes comparisons and interventions.
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What OpenQuestion holds
Registered trials
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.