Evidence map›Paper›PMID 36211204›Full record

ReviewJournal of scleroderma and related disorders2022

Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography.

Dinesh Khanna, Oliver Distler, Vincent Cottin, Kevin K Brown, Lorinda Chung, Jonathan G Goldin, Eric L Matteson, Ella A Kazerooni, Simon Lf Walsh, Michael McNitt-Gray and 1 more

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of scleroderma and related disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. 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 11 institutions in 4 countries.

Dinesh KhannaScleroderma Program, Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0003-1412-4453
Oliver DistlerDepartment of Rheumatology, University Hospital Zurich, Zurich, Switzerland.
Vincent CottinHospices Civils de Lyon, Department of Respiratory Medicine, National Coordinating Reference Center for Rare Pulmonary Diseases, Louis Pradel Hospital, INRAE, UMR754, University Claude Bernard Lyon 1, Lyon, France.
Kevin K BrownDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Lorinda ChungImmunology and Rheumatology, Stanford University, Palo Alto, CA, USA.
Jonathan G GoldinDavid Geffen School of Medicine and UCLA Medical Center, Los Angeles, CA, USA.
Eric L MattesonDivision of Rheumatology, Mayo Clinic, Rochester, MN, USA.
Ella A KazerooniDivision of Cardiothoracic Radiology, Department of Radiology, Michigan Medicine, Ann Arbor, MI, USA.
Simon Lf WalshNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK.
Michael McNitt-GrayDepartment of Radiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Toby M MaherNational Heart and Lung Institute, Imperial College London, London, UK.
Imperial College London · GBMayo Clinic in Arizona · USMichigan Medicine · USNational Jewish Health · USOlive View-UCLA Medical Center · USRoyal Brompton Hospital · GBStanford University · USUniversité Claude Bernard Lyon 1 · FRUniversity Hospital of Zurich · CHUniversity of California, Los Angeles · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with systemic sclerosis are at high risk of developing systemic sclerosis-associated interstitial lung disease. Symptoms and outcomes of systemic sclerosis-associated interstitial lung disease range from subclinical lung involvement to respiratory failure and death. Early and accurate diagnosis of systemic sclerosis-associated interstitial lung disease is therefore important to enable appropriate intervention. The most sensitive and specific way to diagnose systemic sclerosis-associated interstitial lung disease is by high-resolution computed tomography, and experts recommend that high-resolution computed tomography should be performed in all patients with systemic sclerosis at the time of initial diagnosis. In addition to being an important screening and diagnostic tool, high-resolution computed tomography can be used to evaluate disease extent in systemic sclerosis-associated interstitial lung disease and may be helpful in assessing prognosis in some patients. Currently, there is no consensus with regards to frequency and scanning intervals in patients at risk of interstitial lung disease development and/or progression. However, expert guidance does suggest that frequency of screening using high-resolution computed tomography should be guided by risk of developing interstitial lung disease. Most experienced clinicians would not repeat high-resolution computed tomography more than once a year or every other year for the first few years unless symptoms arose. Several computed tomography techniques have been developed in recent years that are suitable for regular monitoring, including low-radiation protocols, which, together with other technologies, such as lung ultrasound and magnetic resonance imaging, may further assist in the evaluation and monitoring of patients with systemic sclerosis-associated interstitial lung disease. A video abstract to accompany this article is available at: https://www.globalmedcomms.com/respiratory/Khanna/HRCTinSScILD.

Indexed as

high-resolution computed tomographyimaginginterstitial lung diseaseprogressive fibrosingradiationSystemic sclerosis

Identifiers

PMID36211204
PMCPMC9537704
OpenAlexW4205243318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.