Evidence map›Paper›PMID 37892818›Full record

ReviewJournal of clinical medicine2023

The Impact of Progressive Pulmonary Fibrosis in Systemic Sclerosis-Associated Interstitial Lung Disease.

María Martín-López, Patricia E Carreira

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. 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
1.3field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Journal of clinical medicine · 2024
    Article
  7. 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

2 authors at 1 institution in 1 country.

María Martín-LópezDepartment of Rheumatology, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0002-4218-5731
Patricia E CarreiraDepartment of Rheumatology, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain.ORCID 0000-0001-8279-3806
Research Institute Hospital 12 de Octubre · ES

Funding

Instituto de Salud Carlos III PI18/00867
6 · The paper itself

Abstract

Systemic sclerosis (SSc) is an autoimmune connective tissue disease characterized by immune dysregulation and progressive fibrosis, typically affecting the skin, with variable internal organ involvement. Interstitial lung disease (ILD), with a prevalence between 35 and 75%, is the leading cause of death in patients with SSc, indicating that all newly diagnosed patients should be screened for this complication. Some patients with SSc-ILD experience a progressive phenotype, which is characterized by worsening fibrosis on high-resolution computed tomography (HRCT), a decline in lung function, and premature mortality. To assess progression and guide therapeutic decisions, regular monitoring is essential and should include pulmonary function testing (PFT), symptom assessment, and repeat HRCT imaging when indicated. Multidisciplinary discussion allows a comprehensive evaluation of the available information and its consequences for management. There has been a shift in the approach to managing SSc-ILD, which includes the addition of targeted biologic and antifibrotic therapies to standard immunosuppressive therapy (particularly mycophenolate mofetil or cyclophosphamide), with autologous hematopoietic stem-cell transplantation and lung transplantation reserved for refractory cases.

Indexed as

antifibroticsbiological therapiesinterstitial lung diseaseprogressive pulmonary fibrosissystemic sclerosis

Identifiers

PMID37892818
PMCPMC10607647
OpenAlexW4387874109

What Socratic 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 Socratic graph.