Evidence map›Paper›PMID 34149680›Full record

ArticleFrontiers in immunology2021

Correlation Between Skin and Affected Organs in 52 Sclerodermic Patients Followed in a Diseases Management Team: Development of a Risk Prediction Model of Organ-Specific Complications.

Emanuele Cozzani, Andrea Muracchioli, Giuseppe Murdaca, Mirko Beccalli, Simone Caprioli, Patrizia Zentilin, Pietro Ameri, Marco Grosso, Rodolfo Russo, Luca Carmisciano and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

11 authors at 2 institutions in 1 country.

Emanuele CozzaniDermatologic Unit, University of Genoa, DiSSal, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Andrea MuracchioliDermatologic Unit, University of Genoa, DiSSal, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Giuseppe MurdacaDepartments of Internal Medicine, Scleroderma Unit, Clinical Immunology Unit, University of Genova, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Mirko BeccalliDepartments of Internal Medicine, Scleroderma Unit, Clinical Immunology Unit, University of Genova, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Simone CaprioliDepartment of Healt Sciences DiSSal, University of Genova, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Patrizia ZentilinDivision of Gastroenterology, Department of Internal Medicine, University of Genova, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Pietro AmeriCardiovascular Disease Unit, IRCCS, Ospedale-Policlinico San Martino; Department of Internal Medicine, University of Genova, Genova, Italy.
Marco GrossoInterventional Pneumology Unit, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Rodolfo RussoNephrology, Dialysis, and Transplantation, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Luca CarmiscianoDepartment of Healt Sciences DiSSal, University of Genova, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Aurora ParodiDermatologic Unit, University of Genoa, DiSSal, Ospedale-Policlinico San Martino, IRCCS, Genova, Italy.
Ospedale Policlinico San Martino · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify the existence of a correlation among the various organs affected, focusing primarily on immuno-dermatological aspects, and to create a risk prediction model of organ-specific complications. Material and Methods: Fifty-two patients with stable scleroderma, followed between 2015 and 2019, were investigated through an extensive multidisciplinary evaluation in the last year. Results: Patients with lung involvement presented a worse degree of skin fibrosis than patients without it (p <0.001). No relationship was observed for the heart, kidney, and esophagus. Patients with pulmonary involvement had a lower pressure of the low esophagus sphincter and a higher Warrick score than patients without it (p <0.05). Age was significantly higher in patients with kidney involvement. Diffuse scleroderma patients had a worse pulmonary impairment than limited scleroderma patients (p <0.05). The manometric "sclerodermic" pattern was observed to be the most frequent (55.6%, p <0.05) in dcSSc patients while the sclerodermic and normal pattern were equally represented (41.2 and 32.4% respectively, p <0.05) in lcSSc patients. When compared to the negative serological groups, anti-Scl-70 positive patients presented a worse lung involvement while anti-centromere patients presented a better lung outcome (p <0.05). PM-Scl 100/75 positive patients presented mostly a pulmonary fibrotic pattern (p <0.05) and, also, heart complications were more likely associated with anti PM-Scl 100/75 positivity (p <0.05). The risk prediction model for organ-specific complications had an accuracy of 84.4% (95%CI 78, 89) in complication-site prediction, AUC of 0.871, 86% of sensitivity, and 83% of specificity, Cohen's Kappa (k) of 0.68. Conclusions: Out of all the organs studied, the skin is the one that correlates with the lung. Patients with a diffuse form of disease presented more frequently the anti Scl-70 antibody and had a worse lung and esophageal involvement (scleroderma pattern) than the negative group. Conversely, patients with limited disease presented all positive for the anti-centromere antibody with a better lung involvement than the negative group, without any difference among the esophageal manometric pattern. Anti PM-Scl 100/75 antibody patients were associated with pulmonary fibrosis and presented cardiac involvement. The model created has demonstrated excellent values of sensitivity, specificity, and accuracy, but further studies are needed for validation.

Indexed as

AgedAge FactorsFemaleHumansLogistic ModelsLungLung DiseasesMaleMiddle AgedOrgan SpecificityPrognosisRiskScleroderma, SystemicSensitivity and SpecificitySkinmRSS (Rodnan Score)organ complicationspredictive modelsclerodermasystemic sclerosis

Identifiers

PMID34149680
PMCPMC8207468
OpenAlexW3168674773

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.