Evidence map›Paper›PMID 35460213›Full record

ArticleACR open rheumatology2022

Computed Tomography of the Chest to Screen for Interstitial Lung Disease in Patients With Systemic Sclerosis at Expert Scleroderma Centers in the United States.

Elana J Bernstein, Shervin Assassi, Flavia V Castelino, Lorinda Chung, Chase Correia, Luke B Evnin, Tracy M Frech, Jessica K Gordon, Brian A Skaug, Faye N Hant and 6 more

Open access · goldAbstract read
In one paragraph

Article in ACR open rheumatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

16 authors at 14 institutions in 1 country.

Elana J BernsteinVagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York.ORCID https://orcid.org/0000-0001-5560-6390
Shervin AssassiUniversity of Texas Health Science Center at Houston, Houston, Texas.ORCID https://orcid.org/0000-0002-8059-9978
Flavia V CastelinoMassachusetts General Hospital, Boston, Massachusetts.ORCID https://orcid.org/0000-0001-9862-0299
Lorinda ChungStanford University and Palo Alto VA Healthcare System, Palo Alto, California.
Chase CorreiaNorthwestern University, Chicago, Illinois.
Luke B EvninScleroderma Research Foundation, San Francisco, California.
Tracy M FrechUniversity of Utah, Salt Lake City, and Vanderbilt University Medical Center, Nashville, Tennessee.ORCID https://orcid.org/0000-0002-5472-3840
Jessica K GordonHospital for Special Surgery, New York, New York.ORCID https://orcid.org/0000-0001-8068-0592
Brian A SkaugUniversity of Texas Health Science Center at Houston, Houston, Texas.
Faye N HantMedical University of South Carolina, Charleston, South Carolina.
Laura K HummersJohns Hopkins University, Baltimore, Maryland.
Nora SandorfiUniversity of Pennsylvania, Philadelphia, Pennsylvania.
Ami A ShahJohns Hopkins University, Baltimore, Maryland.
Victoria K ShanmugamThe George Washington University, Washington, DC.
Virginia D SteenGeorgetown University, Washington, DC.
Dinesh KhannaUniversity of Michigan, Ann Arbor, Michigan.ORCID https://orcid.org/0000-0003-1412-4453
Johns Hopkins University · USThe University of Texas Health Science Center at Houston · USColumbia University · USGeorgetown University · USGeorge Washington University · USHospital for Special Surgery · USMassachusetts General Hospital · USMedical University of South Carolina · USNorthwestern University · USScleroderma Foundation · USUniversity of Michigan · USUniversity of Pennsylvania · USUniversity of Utah · USVA Palo Alto Health Care System · US

Funding

Autoantibodies Define Scleroderma Subgroups with Distinct Relationships to CancerR01AR073208 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI LIVIA A CASCIOLA-ROSEN, Ami Aalok Shah · 2018 to 2026
$5.2M
CFlm25 mediated alternative polyadenylation regulates fibrosis in systemic sclerosisR01AR073284 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ASSASSI, SHERVIN, MILLS, TINGTING WENG · 2019 to 2023
$1.7M
Outcomes Research in Rheumatic DiseasesK24AR063120 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2012 to 2022
$1.6M
Systemic Sclerosis (SSc) Vasculopathy: Improved Clinical Monitoring and TreatmentK23AR067889 · NIAMS · UNIVERSITY OF UTAH · PI FRECH, TRACY MINAN · 2016 to 2020
$881k
Screening Chest CT to Detect Interstitial Lung Disease in Systemic SclerosisK23AR075112 · NIAMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BERNSTEIN, ELANA · 2019 to 2023
$794k
Systemic Sclerosis-Associated Interstitial Lung Disease Response IndexR01AR070470 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KHANNA, DINESH · 2017 to 2019
$642k
NIAMS NIH HHS K23-AR-067889NIAMS NIH HHS K23-AR-075112NIAMS NIH HHS K24-AR-063120NIAMS NIH HHS R01-AR-070470NIAMS NIH HHS R01 AR073208NIAMS NIH HHS R01-AR-073208NIAMS NIH HHS R01 AR073284NIAMS NIH HHS R01-AR-073284Scleroderma Research FoundationU.S. Department of Defense W81XWH-16-1-0296
6 · The paper itself

Abstract

objectiveAlthough a high-resolution computed tomography (HRCT) scan of the chest is the gold standard test for the detection of interstitial lung disease (ILD), there is no consensus among rheumatologists regarding the use of HRCT to screen for ILD in their patients with systemic sclerosis (SSc). The aims of this study were to describe the HRCT ordering practices at SSc centers in the United States and to determine which patient characteristics are associated with HRCT performance.

methodsWe performed a prospective cohort study of patients with SSc enrolled in the US-based Collaborative National Quality and Efficacy Registry (CONQUER). We performed univariate logistic regression followed by multivariable logistic regression to determine which patient characteristics were associated with HRCT performance.

resultsOf the 356 patients with SSc enrolled in CONQUER, 286 (80.3%) underwent HRCT at some point during their disease course. On multivariable analyses, missing total lung capacity percent predicted (odds ratio [OR] 3.26, 95% confidence interval [CI]: 1.53-7.41, P = 0.007) was positively associated with ever having undergone HRCT, whereas a positive anti-centromere antibody (OR 0.27, 95% CI: 0.12-0.61, P = 0.008) and missing forced vital capacity percent predicted (OR 0.29, 95% CI: 0.10-0.80, P = 0.005) were negatively associated with ever having undergone HRCT. There was a trend toward a positive association between crackles on pulmonary exam and ever having undergone HRCT (OR 2.28, 95% CI: 0.97-6.05, P = 0.058), although this relationship did not reach statistical significance.

conclusionThe majority of patients with SSc enrolled in CONQUER underwent HRCT. A positive anti-centromere antibody was the key clinical variable inversely associated with performance of HRCT.

Identifiers

PMID35460213
PMCPMC9274361
OpenAlexW4224310042

What OpenQuestion holds

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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.