Evidence map›Paper›PMID 38199606›Full record

ArticleRMD open2024

Characteristics and disease course of untreated patients with interstitial lung disease associated with systemic sclerosis in a real-life two-centre cohort.

Moritz Scheidegger, Marouane Boubaya, Alexandru Garaiman, Imon Barua, Mike Becker, Hilde Jenssen Bjørkekjær, Cosimo Bruni, Rucsandra Dobrota, Håvard Fretheim, Suzana Jordan and 5 more

Abstract read
In one paragraph

Article in RMD open, 2024. 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. Review
  2. Review
  3. Associations with, and predictors of, progression in systemic sclerosis-related interstitial lung disease: a scoping literature review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

15 authors.

Moritz ScheideggerDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Marouane BoubayaDepartment of Clinical Research, CHU Avicenne, APHP, Bobigny, France.
Alexandru GaraimanDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Imon BaruaDepartment of Rheumatology, Oslo University Hospital, Oslo, Norway.
Mike BeckerDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Hilde Jenssen BjørkekjærDepartment of Rheumatology, Hospital of Southern Norway, Kristiansand, Norway.
Cosimo BruniDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Rucsandra DobrotaDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-9819-7574
Håvard FretheimDepartment of Rheumatology, Oslo University Hospital, Oslo, Norway.
Suzana JordanDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Oyvind MidtvedtDepartment of Rheumatology, Oslo University Hospital, Oslo, Norway.
Carina MihaiDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Anna-Maria Hoffmann-VoldDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Oliver DistlerDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0546-8310
Muriel ElhaiDepartment of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland Muriel.Elhai@usz.ch.ORCID 0000-0001-8627-5758

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundInterstitial lung disease (ILD) is the leading cause of death in systemic sclerosis (SSc). According to expert statements, not all SSc-ILD patients require pharmacological therapy.

objectivesTo describe disease characteristics and disease course in untreated SSc-ILD patients in two well characterised SSc-ILD cohorts.

methodsPatients were classified as treated if they had received a potential ILD-modifying drug. ILD progression in untreated patients was defined as (1) decline in forced vital capacity (FVC) from baseline of ≥10% or (2) decline in FVC of 5%-9% associated with a decline in diffusing capacity for carbon monoxide (DLCO)≥15% over 12±3 months or (3) start of any ILD-modifying treatment or (4) increase in the ILD extent during follow-up. Multivariable logistic regression was performed to identify factors associated with non-prescription of ILD-modifying treatment at baseline. Prognostic factors for progression in untreated patients were tested by multivariate Cox regression.

resultsOf 386 SSc-ILD included patients, 287 (74%) were untreated at baseline. Anticentromere antibodies (OR: 6.75 (2.16-21.14), p=0.001), limited extent of ILD (OR: 2.39 (1.19-4.82), p=0.015), longer disease duration (OR: 1.04 (1.00-1.08), p=0.038) and a higher DLCO (OR: 1.02 (1.01-1.04), p=0.005) were independently associated with no ILD-modifying treatment at baseline. Among 234 untreated patients, the 3 year cumulative incidence of progression was 39.9% (32.9-46.2). Diffuse cutaneous SSc and extensive lung fibrosis independently predicted ILD progression in untreated patients.

conclusionAs about 40% of untreated patients show ILD progression after 3 years and effective and safe therapies for SSc-ILD are available, our results support a change in clinical practice in selecting patients for treatment.

Indexed as

Lung Diseases, InterstitialPulmonary FibrosisScleroderma, SystemicAntibodies, AntinuclearHumansAntibodies, AntinuclearBiological TherapyPulmonary FibrosisScleroderma, Systemic

Identifiers

PMID38199606
PMCPMC10806490

What OpenQuestion holds

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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.