Evidence map›Paper›PMID 42548394›Full record

ArticleCHEST pulmonary2024

Employment of the Envisia Genomic Classifier in Conjunction With Cryobiopsy in Patients With Undiagnosed Interstitial Lung Disease.

Fayez Kheir, Ramsy Abdelghani, Diana Espinoza, Regina Villalobos, David Becnel, Rachel Herr, Alejandro Aragaki, J P Uribe Becerra, Justin M Oldham, Joseph Lasky

Abstract read
In one paragraph

Article in CHEST pulmonary, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Fayez KheirDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA.
Ramsy AbdelghaniDivision of Pulmonary and Critical Care, Department of Medicine, School of Medicine, Tulane University, New Orleans, LA.
Diana EspinozaDivision of Pulmonary and Critical Care, Department of Medicine, School of Medicine, Tulane University, New Orleans, LA.
Regina VillalobosDivision of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA.
David BecnelDivision of Pulmonary and Critical Care, Department of Medicine, School of Medicine, Tulane University, New Orleans, LA.
Rachel HerrDivision of Pulmonary and Critical Care, Department of Medicine, School of Medicine, Tulane University, New Orleans, LA.
Alejandro AragakiDivision of Pulmonary, Critical Care and Sleep Medicine, University of Cincinnati Medical Center, Cincinnati, OH.
J P Uribe BecerraDepartment of Internal Medicine, University of Miami, Miami, FL.
Justin M OldhamDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI.
Joseph LaskyDivision of Pulmonary and Critical Care, Department of Medicine, School of Medicine, Tulane University, New Orleans, LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Envisia Genomic Classifier (EGC) is a clinically validated molecular diagnostic test identifying usual interstitial pneumonia (UIP), increasing the diagnostic confidence for idiopathic pulmonary fibrosis in patients with interstitial lung disease (ILD). Research Question: What is the association of the EGC and lung cryobiopsy on clinical management decisions in patients with fibrotic ILD? Study Design and Methods: Retrospective analysis of patients at multimedical centers. We assessed the change in management strategy after EGC and cryobiopsy. We evaluated the association between genomic UIP classification and disease progression using the American Thoracic Society definition of progressive pulmonary fibrosis (method 1), or combined end point of death from any cause, lung transplant, or ≥ 10% relative decline in FVC (method 2). Results: In patients that were EGC positive for UIP (gcUIP+), 78.6% were diagnosed with idiopathic pulmonary fibrosis. Cryobiopsy and EGC test results changed management strategy for 59.5% of patients in the cohort that were gcUIP+, and 21.4% of patients that had indeterminate cryobiopsy interpretations were gcUIP+, leading to a change in treatment strategy of an additional 16.7%. There was a decrease in follow-up without treatment from 64.3% to 11.9% ( Interpretation: This study suggests that combined EGC and cryobiopsy are associated with change in therapeutic strategy in patients with undiagnosed ILD. The EGC might serve as a predictor for disease progression in patients not treated with antifibrotics.

Indexed as

bronchoscopycryobiopsyEnvisia Genomic Classifierinterstitial lung diseases

Identifiers

PMID42548394
PMCPMC13418619

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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.