Evidence map›Paper›PMID 32184110›Full record

ArticleChest2020

Derivation and Validation of a Diagnostic Prediction Tool for Interstitial Lung Disease.

Janelle Vu Pugashetti, Aleksander Kitich, Shehabaldin Alqalyoobi, Anne-Catherine Maynard-Paquette, David Pritchard, Julia Graham, Noelle Boctor, Andrea Kulinich, Elyse Lafond, Elena Foster and 6 more

Open access · greenAbstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Observational
  4. Review
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  9. Response.Chest · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 2 countries.

Janelle Vu PugashettiDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Aleksander KitichDepartment of Radiology, University of California at Los Angeles, Los Angeles, CA.
Shehabaldin AlqalyoobiDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Anne-Catherine Maynard-PaquetteDépartement de Médecine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
David PritchardDepartment of Internal Medicine, University of California at Davis, Sacramento, CA.
Julia GrahamDepartment of Internal Medicine, University of California at Davis, Sacramento, CA.
Noelle BoctorDepartment of Internal Medicine, University of California at Davis, Sacramento, CA.
Andrea KulinichDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Elyse LafondDivision of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY.
Elena FosterDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Cesar MendezDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Saad ChoudhryDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA.
Jean ChalaouiDépartement de Radiologie, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Julie MorissetDépartement de Médecine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Michael KadochDepartment of Radiology, University of California at Davis, Sacramento, CA.
Justin M OldhamDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, University of California at Davis, Sacramento, CA. Electronic address: joldham@ucdavis.edu.
University of California, Davis · USCentre Hospitalier de l’Université de Montréal · CACornell University · USUniversity of California, Los Angeles · US

Funding

Elucidating the Genomic Determinants of Outcomes in Idiopathic Pulmonary FibrosisK23HL138190 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OLDHAM, JUSTIN M · 2017 to 2021
$914k
NHLBI NIH HHS K23 HL138190
6 · The paper itself

Abstract

backgroundInterstitial lung disease (ILD) results in high morbidity and health-care utilization. Diagnostic delays remain common and often occur in nonpulmonology settings. Screening for ILD in these settings has the potential to reduce diagnostic delays and improve patient outcomes. RESEARCH QUESTION: This study sought to determine whether a pulmonary function test (PFT)-derived diagnostic prediction tool (ILD-Screen) could accurately identify incident ILD cases in patients undergoing PFT in nonpulmonology settings. STUDY DESIGN AND

methodsClinical and physiologic PFT variables predictive of ILD were identified by using iterative multivariable logistic regression models. ILD status was determined by using a multi-reader approach. An ILD-Screen score was generated by using final regression model coefficients, with a score ≥ 8 considered positive. ILD-Screen test performance was validated in an independent external cohort and applied prospectively to PFTs over 1 year to identify incident ILD cases at our institution.

resultsVariables comprising the ILD-Screen were age, height, total lung capacity, FEV

interpretationThe ILD-Screen showed good test performance in predicting ILD across diverse geographic settings and when applied prospectively. Systematic ILD-Screen application has the potential to reduce diagnostic delays and facilitate earlier intervention in patients with ILD.

Indexed as

AgedAnthropometryDiagnostic ImagingFemaleHumansLung Diseases, InterstitialMaleMass ScreeningMiddle AgedPredictive Value of TestsRespiratory Function Testsidiopathic pulmonary fibrosisinterstitial lung abnormalitiesinterstitial lung diseasepulmonary fibrosisscreening

Identifiers

PMID32184110
PMCPMC7469246
OpenAlexW3010993550

What OpenQuestion holds

Textmetadata
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.