Evidence map›Paper›PMID 36430277›Full record

ArticleInternational journal of molecular sciences2022

Serum Immunoglobulin G Is a Marker of Hidradenitis Suppurativa Disease Severity.

Dillon Mintoff, Isabella Borg, Nikolai P Pace

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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.

Dillon MintoffDepartment of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida 2080, MSD, Malta.ORCID 0000-0003-3705-0119
Isabella BorgDepartment of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida 2080, MSD, Malta.
Nikolai P PaceCentre for Molecular Medicine and Biobanking, University of Malta, Msida 2080, MSD, Malta.ORCID 0000-0002-7332-874X
University of Malta · MT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hidradenitis suppurativa (HS) is a chronic inflammatory condition of the skin that is brought about by autoinflammation and hyperkeratosis at the pilosebaceous unit. The clinical severity of HS can be measured using static (Hurley Severity Scoring (HSS)) and/or dynamic (International HS Severity Scoring System (IHS4)) severity scoring instruments. However, few clinically available serological parameters have been found to correlate with disease severity. In this study, we sought to investigate the role of serum immunoglobulin (Ig) G, M and A levels as biomarkers of disease severity and to compare them with other, more conventional inflammatory indices, such as the erythrocyte sedimentation rate, C-reactive protein, the neutrophil-lymphocyte ratio, the platelet-lymphocyte ratio and the systemic immune-inflammation index. In this cross-sectional study, patients were recruited from the only dermatology referral centre in Malta, Europe, and subjected to clinical examination and the assessment of inflammatory and immunologic parameters. Serum IgG, M and A levels were assessed using the Atellica

Indexed as

Hidradenitis SuppurativaBiomarkersCross-Sectional StudiesHumansImmunoglobulin GSeverity of Illness IndexBiomarkersImmunoglobulin Gbiomarkershidradenitis suppurativaimmunoglobulinsinflammationseverity

Identifiers

PMID36430277
PMCPMC9698525
OpenAlexW4308869069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.