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Record W4392143153 · doi:10.1111/ijd.17088

Association between pyoderma gangrenosum and autoimmune connective tissue disorders: A systematic review

2024· review· en· W4392143153 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Dermatology · 2024
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPyoderma gangrenosumMedicineConnective tissueDermatologyConnective tissue diseaseMEDLINEPathologyAutoimmune diseaseDisease

Abstract

fetched live from OpenAlex

Pyoderma gangrenosum (PG) is a neutrophilic dermatosis that may result in painful cutaneous ulcers and can be challenging to manage.1 PG is frequently associated with underlying systemic disorders, particularly hematologic dyscrasias and inflammatory bowel disease (IBD).1, 2 PG has also been associated with autoimmune connective tissue disorders (AI-CTD), but its characteristics are not well documented. Hence, we sought to perform a systematic literature review to characterize the epidemiology, clinical characteristics, and management of patients with concomitant PG and AI-CTD. Following PRISMA guidelines, EMBASE, MEDLINE, and CENTRAL were searched from inception to July 23, 2023. AI-CTDs of interest include systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), antiphospholipid syndrome (APS), Sjögren syndrome (SS), scleroderma (Scl), and overlap syndrome (OS). Primary studies with original data for patients 18 years or older with an established diagnosis of AI-CTD were included. Non-English studies were excluded. Study quality and bias assessments were performed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) scale. Of the initial 702 articles identified in the search, 78 met the inclusion criteria and comprised 48 case reports, 21 case series, 6 cohort studies, and 3 case–control studies. A total of 234 patients were included, with a mean age of 57.3 years (range: 18–92). A majority occurred in females (76%) (Table 1). Lower legs (52.2%) were the most common site of PG involvement, followed by thigh/hips (18.7%), arms (11.0%), torso (9.9%), head/neck (3.3%), and mucous membranes (4.9%). The most prevalent AI-CTD associated with PG was RA (85.9%, n = 201), followed by SLE (12.0%, n = 28), Scl (1.3%, n = 3), APS (0.4%, n = 1), and SS (0.4%, n = 1). Six patients (2.6%) had OS. The mean treatment duration for PG was 39 weeks and included systemic corticosteroids (n = 65), calcineurin inhibitors (n = 21), tumor necrosis factor (TNF)-alpha inhibitors (n = 14), antibiotics (n = 19), purine antagonists (n = 18), interleukin (IL)-1 receptor antagonists (n = 3), dapsone (n = 7), cyclophosphamide (n = 7) and Janus kinase (JAK) inhibitors (n = 2) (Table 1). Treatment type did not vary significantly with AI-CTD. There were 88 patients (37.6%) with complete resolution and 12 patients (5.1%) with recurrences. Two deaths (0.9%) were reported prior to PG resolution due to other comorbidities, one of which was sepsis. This review is limited by study heterogeneity, reporting bias, and low-quality studies, as the majority were case reports. The pathogenesis of PG and AI-CTD both result from autoreactive T-cells and aberrant proinflammatory cytokine production, including IL-1, IL-17, IL-36, and TNF-alpha, among others.2, 3 Hence, both conditions often require long courses of immunosuppressants that come with inherent risks, yet evidence-based guidelines remain sparse. IL-36 is the key cytokine responsible for perpetuating neutrophilic inflammation in PG.4, 5 Spesolimab, a novel IL-36 receptor antagonist, may be a promising and safer off-label option given its targeted mechanism of action, but further studies are necessary. In conclusion, our review found that RA is the predominant AI-CTD associated with PG, the lower extremities are the most common sites of PG involvement, and females with concomitant AI-CTD represented a majority of PG cases in a 3:1 ratio. We propose an algorithm for working up patients with a new diagnosis of PG for suspected AI-CTD (Figure 1). Clinicians managing patients with a new onset of PG on the lower extremities should acknowledge this association and consider further workup for underlying AI-CTD, especially for RA in females when hematologic disorders or IBD have been ruled out. We would like to thank Ms. Risa Shorr, MLIS, Librarian at The Ottawa Hospital, for assisting with the literature search query. Data is available on request from the authors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.484
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.352
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it