Evidence map›Paper›PMID 32070422›Full record

Observational studyArthritis research & therapy2020

Early trajectories of skin thickening are associated with severity and mortality in systemic sclerosis.

Emmanuel Ledoult, David Launay, Hélène Béhal, Luc Mouthon, Grégory Pugnet, Jean-Christophe Lega, Christian Agard, Yannick Allanore, Patrick Jego, Anne-Laure Fauchais and 11 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  7. Article
  8. Biomarkers in Systemic Sclerosis: An Overview.Current issues in molecular biology · 2023
    Review
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  10. Review
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  12. 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

21 authors at 12 institutions in 1 country.

Emmanuel LedoultUniv. Lille, Institute for Translational Research in Inflammation (INFINITE), F-59000, Lille, France.
David LaunayUniv. Lille, Institute for Translational Research in Inflammation (INFINITE), F-59000, Lille, France.
Hélène BéhalUniv. Lille, CHU Lille, EA 2694-Santé publique, épidémiologie et qualité des soins, Unité de Biostatistiques, F-59000, Lille, France.
Luc MouthonHôpital Cochin-APHP, Service de Médecine Interne, Paris, France.
Grégory PugnetCHU Toulouse, Service de Médecine Interne, Toulouse, France.
Jean-Christophe LegaCHU Lyon Sud, Service de Médecine Interne, Pierre-Bénite, France.
Christian AgardCHU Nantes, Service de Médecine Interne, Nantes, France.
Yannick AllanoreHôpital Cochin-APHP, Service de Rhumatologie, Paris, France.
Patrick JegoCHU Rennes, Service de Médecine Interne, Rennes, France.
Anne-Laure FauchaisCHU Limoges, Service de Médecine Interne, Limoges, France.
Jean-Robert HarléHôpital de la Timone, Service de Médecine Interne, Marseille, France.
Sabine BerthierCHU Dijon, Service de Médecine Interne et Immunologie Clinique, Dijon, France.
Achille AoubaCHU Caen, Service de Médecine Interne, Caen, France.
Arsène MekinianHôpital Saint-Antoine-APHP, Service de Médecine Interne, Paris, France.
Elisabeth DiotCHU Tours, Service de Médecine Interne, Tours, France.
Marie-Elise TruchetetCHU Bordeaux, Service de Rhumatologie, Bordeaux, France.
Carine BoulonCHU Bordeaux, Service de Médecine vasculaire, Bordeaux, France.
Alain DuhamelUniv. Lille, CHU Lille, EA 2694-Santé publique, épidémiologie et qualité des soins, Unité de Biostatistiques, F-59000, Lille, France.
Eric HachullaUniv. Lille, Institute for Translational Research in Inflammation (INFINITE), F-59000, Lille, France.
Vincent SobanskiUniv. Lille, Institute for Translational Research in Inflammation (INFINITE), F-59000, Lille, France. vincent.sobanski@univ-lille.fr.ORCID 0000-0003-3083-2441
French National Scleroderma Cohort Network
Inserm · FRUniversité de Lille · FRCentre Hospitalier Universitaire de Bordeaux · FRCentre Hospitalier Universitaire de Toulouse · FRHôpital Cochin · FRSorbonne Université · FRCentre Hospitalier Universitaire de Caen Normandie · FRCentre Hospitalier Universitaire de Lille · FRCentre Hospitalier Universitaire de Limoges · FRCHU Dijon Bourgogne · FRHôpital Lyon Sud · FRHôpital Universitaire Dupuytren · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic sclerosis (SSc) is a severe and highly heterogeneous disease. The modified Rodnan skin score (mRSS) is a widely used tool for the assessment of the extent and degree of skin thickness. This study aimed to identify the classes of patients with early similar skin thickening trajectories without any a priori assumptions and study their associations with organ involvement and survival.

methodsFrom the French SSc national cohort, patients with a disease duration of less than 2 years at inclusion and with at least 2 mRSS available within the first 4 years of follow-up were enrolled. Classes of patients with similar mRSS trajectories were identified based on a latent class mixed model. The clinical characteristics and survival rate were compared between the obtained classes.

resultsA total of 198 patients fulfilled the inclusion criteria, with a total of 641 mRSS available. The median disease duration and follow-up were 0.8 (interquartile range 0.4; 1.2) and 6.3 (3.8; 8.9) years, respectively. Individual trajectories of mRSS were highly heterogeneous between patients. Models with 1-6 latent classes of trajectories were sequentially assessed, and the 5-class model represented the best fit to data. Each class was characterized by a unique global trajectory of mRSS. The median disease duration did not differ significantly between classes. Baseline organ involvement was more frequent in classes with significant change over time (classes 2-5) than in class 1 (low baseline mRSS without significant change over time). Using Cox regression, we observed a progressively increasing risk of death from classes 1 to 5.

conclusionsEarly identification of clinical phenotype based on skin thickening trajectories could predict morbi-mortality in SSc. This study suggested that mRSS trajectories characterization might be pivotal for clinical practice and future trial designs.

Indexed as

AdultAgedDisease ProgressionFemaleHumansMaleMiddle AgedScleroderma, SystemicSkinClinical heterogeneityModified Rodnan skin scoreSkin thickening trajectoriesSystemic sclerosis

Identifiers

PMID32070422
PMCPMC7029583
OpenAlexW3012133867

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.