ArticleIndian journal of dermatology
Pathogenesis of Hidradenitis Suppurativa: An Immunological Perspective.
Article in Indian journal of dermatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Post-Transcriptional Regulators of Inflammation: The Role of microRNAs in Acne Inversa Pathogenesis.Journal of biochemical and molecular toxicology · 2026Review
- Therapeutic Potential of Tulisokibart and Anti-TL1A Therapy in Inflammatory Disorders: Current Insights and Future Directions.Clinical reviews in allergy & immunology · 2026Review
- Dissecting Cellulitis of the Scalp: Linking Pathogenesis to Therapy.Biomedicines · 2026Review
- Current Treatments and Future Directions for Hidradenitis Suppurativa: a Narrative Review of Completed and Ongoing Phase 3 Clinical Trials of Biologic Therapies.Dermatology and therapy · 2025Review
- The Therapeutic Potential of GLP-1 Receptor Agonists in the Management of Hidradenitis Suppurativa: A Systematic Review of Anti-Inflammatory and Metabolic Effects.Journal of clinical medicine · 2024Review
- Cellular indexing of transcriptomes and epitopes (CITE-Seq) in hidradenitis suppurativa identifies dysregulated cell types in peripheral blood and facilitates diagnosis via machine learning.Research square · 2024Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Identifiers
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.