Evidence map›Paper›PMID 37325280›Full record

ArticleSkin appendage disorders2023

Serum Amyloid A: A Potential New Marker of Severity in Hidradenitis Suppurativa.

Michela Iannone, Giorgia Salvia, Cristian Fidanzi, Matteo Bevilacqua, Agata Janowska, Riccardo Morganti, Marco Romanelli, Valentina Dini

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Skin appendage disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Michela IannoneDepartment of Dermatology, University of Pisa, Pisa, Italy.
Giorgia SalviaDepartment of Dermatology, University of Pisa, Pisa, Italy.
Cristian FidanziDepartment of Dermatology, University of Pisa, Pisa, Italy.
Matteo BevilacquaDepartment of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy.
Agata JanowskaDepartment of Dermatology, University of Pisa, Pisa, Italy.
Riccardo MorgantiDepartment of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy.
Marco RomanelliDepartment of Dermatology, University of Pisa, Pisa, Italy.
Valentina DiniDepartment of Dermatology, University of Pisa, Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease with systemic inflammation and high impact on quality of life. Treatment strategies are still inadequate with a lack of inflammation biomarkers. We conducted a prospective study to assess the correlation between serum amyloid A (SAA) levels and active lesion count; disease severity; Dermatology Life Quality Index (DLQI); smoking; BMI; and lesion sites. Methods: Forty-one patients (M/F: 22/19) were enrolled. Demographic, clinical, laboratory, and therapeutic data were assessed at baseline on patients not under treatment or in wash-out from systemic treatment for at least 2 weeks. Associations were investigated by univariate and multivariate analyses. Results: SAA levels were significantly associated with number of nodules ( Conclusions: We recommend assessment of SAA levels to monitor therapeutic response in patient with HS in order to prevent disease's flare and potential complications.

Indexed as

Acne inversaBiomarkerHidradenitis suppurativaInflammationInflammatory skin diseaseSerum amyloid A

Identifiers

PMID37325280
PMCPMC10264916
OpenAlexW4321367135

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.