Evidence map›Paper›PMID 34441944›Full record

ArticleJournal of clinical medicine2021

Pain as Defining Feature of Health Status and Prominent Therapeutic Target in Patients with Hidradenitis Suppurativa.

Francesca Sampogna, Irene Campana, Luca Fania, Simona Mastroeni, Roberta Fusari, Davide Ciccone, Sabatino Pallotta, Damiano Abeni

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Observational
  5. Article
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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

8 authors.

Francesca SampognaClinical Epidemiology Unit, IDI-IRCCS, 00167 Rome, Italy.ORCID 0000-0002-7624-3290
Irene CampanaDermatology Department, IDI-IRCCS, 00167 Rome, Italy.ORCID 0000-0002-5585-9424
Luca FaniaDermatology Department, IDI-IRCCS, 00167 Rome, Italy.
Simona MastroeniClinical Epidemiology Unit, IDI-IRCCS, 00167 Rome, Italy.
Roberta FusariClinical Epidemiology Unit, IDI-IRCCS, 00167 Rome, Italy.
Davide CicconeDermatology Department, IDI-IRCCS, 00167 Rome, Italy.
Sabatino PallottaDermatology Department, IDI-IRCCS, 00167 Rome, Italy.
Damiano AbeniClinical Epidemiology Unit, IDI-IRCCS, 00167 Rome, Italy.ORCID 0000-0002-0167-7617

Funding

Ministero della Salute 0
6 · The paper itself

Abstract

backgroundPain is one of the main aspects of hidradenitis suppurativa that strongly affects the quality of life of patients. We explored the relationship between pain and clinical severity as well as its role in defining the health status in patients with HS.

methodsPain was defined by three measures: (a) question 1 ("my skin hurts") of the Skindex-17; (b) Bodily Pain (BP) scale of the SF-36; and (c) Visual Analog Scale (VAS). Clinical severity of HS was assessed by the Hurley staging, the Sartorius HS Score, and the International HS Severity Score System.

resultsThe study population included 341 HS patients with complete data for the VAS pain, 316 for question 1 of the Skindex-17, and 294 for BP. Clinical severity was positively associated with pain. This result was observed for all three severity scores and all three pain evaluation methods. In addition, the number of fistulae, abscesses, and nodules were significantly associated with the three severity measures of pain, while the association with scars was not observed for question 1 of the Skindex-17 and BP.

conclusionsPain may be a good proxy of clinical severity and efficacy of a treatment in HS and therefore a crucial hallmark of patients' health status.

Indexed as

clinical severityhealth statushidradenitis suppurativapaintherapy

Identifiers

PMID34441944
PMCPMC8397122

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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.