Evidence map›Paper›PMID 30237630›Full record

ReviewReumatologia2018

Interstitial lung disease in systemic sclerosis: challenges in early diagnosis and management.

Małgorzata Chowaniec, Marta Skoczyńska, Renata Sokolik, Piotr Wiland

Abstract readReview
In one paragraph

Review in Reumatologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Observational
  12. Review
  13. Etiology, Risk Factors, and Biomarkers in Systemic Sclerosis with Interstitial Lung Disease.American journal of respiratory and critical care medicine · 2020
    Article
  14. Patient and Physician Perspectives on Systemic Sclerosis-Associated Interstitial Lung Disease.Clinical medicine insights. Circulatory, respiratory and pulmonary medicine · 2020
    Article
  15. Article
  16. Review
  17. 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

4 authors.

Małgorzata ChowaniecDepartment of Rheumatology and Internal Diseases, University Hospital in Wrocław, Poland.
Marta SkoczyńskaDepartment of Rheumatology and Internal Diseases, University Hospital in Wrocław, Poland.
Renata SokolikDepartment of Rheumatology and Internal Diseases, University Hospital in Wrocław, Poland.
Piotr WilandDepartment of Rheumatology and Internal Diseases, University Hospital in Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interstitial lung disease (ILD) is a group of lung diseases characterized by thickening of the interstitium surrounding pulmonary alveolar walls. It is related to specific radiographic features in lung imaging and/or the presence of restrictive disorders in pulmonary function tests (PFTs). ILD is one of the leading causes of death in systemic sclerosis patients. Major risk factors of ILD associated with SSc (SSc-ILD) include male sex, diffuse type of cutaneous SSc and presence of anti-Scl-70 antibodies. SSc-ILD is challenging to diagnose at an early stage as the symptoms are non-specific. The greatest risk of its development is during the 4-5 years after the initial diagnosis of systemic sclerosis. Clinical vigilance at the time, including regular pulmonary function tests and/or high-resolution com-puted tomography (HRCT), is needed. The aim of this paper is to summarize the current knowledge on early diagnostic methods and progression risk factors for SSc-ILD.

Indexed as

early diagnosisinterstitial lung diseaseprogression risk factorssystemic sclerosis

Identifiers

PMID30237630
PMCPMC6142027

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.