Evidence map›Paper›PMID 36116091›Full record

ReviewAmerican journal of clinical dermatology2022

The Skin and Gut Microbiome in Hidradenitis Suppurativa: Current Understanding and Future Considerations for Research and Treatment.

Marisa E Luck, Joy Tao, Eden P Lake

Abstract readReview
PubMed Publisher
In one paragraph

Review in American journal of clinical dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Skin microbiome and dermatologic disorders.The Journal of clinical investigation · 2025
    Review
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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 at 1 institution in 1 country.

Marisa E LuckStritch School of Medicine, Loyola University Chicago Health Sciences Division, 2160 South First Ave, Maywood, IL, 60153, USA. mluck@luc.edu.ORCID http://orcid.org/0000-0002-4869-1889
Joy TaoDivision of Dermatology, Loyola University Chicago Health Sciences Division, Maywood, IL, 60153, USA.
Eden P LakeDivision of Dermatology, Loyola University Chicago Health Sciences Division, Maywood, IL, 60153, USA.
Loyola University Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease comprising painful abscesses, deep nodules, fistulas, and scarring predominantly in the axilla and groin. Bacterial colonization of HS lesions has been well characterized and may lead to chronic infection of lesions. While disease pathogenesis of HS is not fully understood, there is increasing evidence that microbial dysbiosis may be occurring in numerous locations, including the skin and gut. The skin-gut microbiome has been proposed as a mechanism by which inflammatory skin disorders, including HS, can be exacerbated. This is evidenced by HS patients being significantly more likely to develop inflammatory bowel disease as well as the well documented cutaneous manifestations in inflammatory bowel disease. In this review, we discuss the current literature regarding HS skin and gut microbiome research. Furthermore, we discuss further considerations for microbiome research in HS, including the potential role of bacterial metabolites in disease progression and future therapeutic avenues like probiotics.

Indexed as

Gastrointestinal MicrobiomeHidradenitis SuppurativaInflammatory Bowel DiseasesMicrobiotaHumansSkin

Identifiers

PMID36116091
OpenAlexW4296226039

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.